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import { access , mkdtemp , readFile , rm } from 'node:fs/promises' ;
import { tmpdir } from 'node:os' ;
import { join } from 'node:path' ;
import { afterEach , beforeEach , describe , expect , it , vi } from 'vitest' ;
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
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import { initKtxProject } from '../../../src/context/project/project.js' ;
import { createLocalProjectMemoryIngest } from '../../../src/context/memory/local-memory.js' ;
import { LocalMemoryRunStore } from '../../../src/context/memory/local-memory-runs.js' ;
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vi . mock ( 'ai' , ( ) = > ( {
generateText : vi.fn ( ) . mockResolvedValue ( { text : '' , toolCalls : [ ] } ) ,
stepCountIs : ( stepBudget : number ) = > stepBudget ,
tool : ( definition : unknown ) = > definition ,
} ) ) ;
async function expectPathMissing ( path : string ) : Promise < void > {
await expect ( access ( path ) ) . rejects . toThrow ( ) ;
}
describe ( 'LocalMemoryRunStore' , ( ) = > {
let tempDir : string ;
beforeEach ( async ( ) = > {
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tempDir = await mkdtemp ( join ( tmpdir ( ) , 'ktx-local-memory-runs-' ) ) ;
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} ) ;
afterEach ( async ( ) = > {
await rm ( tempDir , { recursive : true , force : true } ) ;
} ) ;
it ( 'persists running, done, and reloadable memory run status in SQLite' , async ( ) = > {
const store = new LocalMemoryRunStore ( {
projectDir : tempDir ,
idFactory : ( ) = > 'memory-run-1' ,
} ) ;
const created = await store . createRunning ( { inputHash : 'hash-1' , chatId : 'chat-1' } ) ;
expect ( created ) . toEqual ( { id : 'memory-run-1' } ) ;
await store . markRunning ( 'memory-run-1' , 'capturing' ) ;
await store . markDone ( 'memory-run-1' , {
signalDetected : true ,
actions : [ { target : 'wiki' , type : 'created' , key : 'revenue' , detail : 'Revenue definition' } ] ,
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skillsLoaded : [ 'wiki_capture' ] ,
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commitHash : 'abc123' ,
} ) ;
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await expect ( access ( join ( tempDir , '.ktx/db.sqlite' ) ) ) . resolves . toBeUndefined ( ) ;
await expectPathMissing ( join ( tempDir , '.ktx/memory-runs/memory-run-1.json' ) ) ;
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await expect ( store . findById ( 'memory-run-1' ) ) . resolves . toMatchObject ( {
id : 'memory-run-1' ,
status : 'done' ,
stage : 'done' ,
inputHash : 'hash-1' ,
chatId : 'chat-1' ,
error : null ,
outputSummary : {
signalDetected : true ,
commitHash : 'abc123' ,
} ,
} ) ;
const reloaded = new LocalMemoryRunStore ( { projectDir : tempDir } ) ;
await expect ( reloaded . findById ( 'memory-run-1' ) ) . resolves . toMatchObject ( {
id : 'memory-run-1' ,
status : 'done' ,
stage : 'done' ,
inputHash : 'hash-1' ,
chatId : 'chat-1' ,
outputSummary : {
actions : [ { target : 'wiki' , type : 'created' , key : 'revenue' , detail : 'Revenue definition' } ] ,
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skillsLoaded : [ 'wiki_capture' ] ,
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signalDetected : true ,
commitHash : 'abc123' ,
} ,
} ) ;
} ) ;
} ) ;
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
describe ( 'createLocalProjectMemoryIngest' , ( ) = > {
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let tempDir : string ;
beforeEach ( async ( ) = > {
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tempDir = await mkdtemp ( join ( tmpdir ( ) , 'ktx-local-memory-' ) ) ;
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} ) ;
afterEach ( async ( ) = > {
await rm ( tempDir , { recursive : true , force : true } ) ;
} ) ;
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it ( 'warns when embeddings are configured but memory ingest is created without an embedding provider' , async ( ) = > {
const project = await initKtxProject ( { projectDir : tempDir } ) ;
project . config . ingest . embeddings = {
backend : 'openai' ,
model : 'text-embedding-3-small' ,
dimensions : 1536 ,
} ;
const logger = { log : vi.fn ( ) , warn : vi.fn ( ) , error : vi.fn ( ) } ;
createLocalProjectMemoryIngest ( project , {
agentRunner : { runLoop : vi.fn ( ) } as never ,
logger : logger as never ,
} ) ;
expect ( logger . warn ) . toHaveBeenCalledWith (
'[memory-ingest] embeddings backend "openai" is configured but no embedding provider was passed; semantic search will fall back to a no-op embedding port.' ,
) ;
} ) ;
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it ( 'captures a wiki page through the local memory agent and persists pollable status' , async ( ) = > {
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const project = await initKtxProject ( { projectDir : tempDir } ) ;
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const agentRunner = {
runLoop : async ( {
toolSet ,
} : {
toolSet : Record < string , { execute : ( input : unknown , options ? : { toolCallId ? : string } ) = > Promise < unknown > } > ;
} ) = > {
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await toolSet . load_skill . execute ( { name : 'wiki_capture' } ) ;
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await toolSet . wiki_write . execute (
{
key : 'revenue' ,
summary : 'Revenue definition' ,
content : 'Revenue means paid order value net of refunds.' ,
tags : [ 'finance' ] ,
} ,
{ toolCallId : 'wiki-write' } ,
) ;
return { stopReason : 'natural' as const } ;
} ,
} ;
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
const ingest = createLocalProjectMemoryIngest ( project , {
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agentRunner : agentRunner as never ,
runIdFactory : ( ) = > 'memory-run-1' ,
} ) ;
await expect (
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
ingest . ingest ( {
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userId : 'local-user' ,
chatId : 'chat-1' ,
userMessage : 'define revenue as paid order value net of refunds' ,
assistantMessage : 'Captured.' ,
sourceType : 'external_ingest' ,
} ) ,
) . resolves . toEqual ( { runId : 'memory-run-1' } ) ;
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
await ingest . waitForRun ( 'memory-run-1' ) ;
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await expect ( access ( join ( project . projectDir , '.ktx/db.sqlite' ) ) ) . resolves . toBeUndefined ( ) ;
await expectPathMissing ( join ( project . projectDir , '.ktx/memory-runs/memory-run-1.json' ) ) ;
2026-05-10 23:12:26 +02:00
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
await expect ( ingest . status ( 'memory-run-1' ) ) . resolves . toMatchObject ( {
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runId : 'memory-run-1' ,
status : 'done' ,
done : true ,
captured : { wiki : [ 'revenue' ] , sl : [ ] , xrefs : [ ] } ,
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skillsLoaded : [ 'wiki_capture' ] ,
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signalDetected : true ,
} ) ;
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await expect ( readFile ( join ( project . projectDir , 'wiki/global/revenue.md' ) , 'utf-8' ) ) . resolves . toContain (
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'Revenue means paid order value net of refunds.' ,
) ;
} ) ;
it ( 'captures a semantic-layer source for a named local connection id' , async ( ) = > {
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const project = await initKtxProject ( { projectDir : tempDir } ) ;
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project . config . connections . warehouse = { driver : 'postgres' } ;
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const agentRunner = {
runLoop : async ( {
toolSet ,
} : {
toolSet : Record < string , { execute : ( input : unknown , options ? : { toolCallId ? : string } ) = > Promise < unknown > } > ;
} ) = > {
await toolSet . load_skill . execute ( { name : 'sl' } ) ;
await toolSet . sl_write_source . execute (
{
connectionId : 'warehouse' ,
sourceName : 'orders' ,
source : {
name : 'orders' ,
table : 'public.orders' ,
grain : [ 'id' ] ,
columns : [ { name : 'id' , type : 'number' } ] ,
joins : [ ] ,
measures : [ { name : 'order_count' , expr : 'count(*)' } ] ,
} ,
} ,
{ toolCallId : 'sl-write' } ,
) ;
return { stopReason : 'natural' as const } ;
} ,
} ;
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
const ingest = createLocalProjectMemoryIngest ( project , {
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agentRunner : agentRunner as never ,
runIdFactory : ( ) = > 'memory-run-2' ,
} ) ;
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
await ingest . ingest ( {
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userId : 'local-user' ,
chatId : 'chat-2' ,
userMessage : 'going forward define orders count as count of public orders' ,
assistantMessage : 'Captured.' ,
connectionId : 'warehouse' ,
sourceType : 'external_ingest' ,
} ) ;
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
await ingest . waitForRun ( 'memory-run-2' ) ;
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2026-05-10 23:51:24 +02:00
await expect ( access ( join ( project . projectDir , '.ktx/db.sqlite' ) ) ) . resolves . toBeUndefined ( ) ;
await expectPathMissing ( join ( project . projectDir , '.ktx/memory-runs/memory-run-2.json' ) ) ;
2026-05-10 23:12:26 +02:00
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
await expect ( ingest . status ( 'memory-run-2' ) ) . resolves . toMatchObject ( {
2026-05-10 23:12:26 +02:00
runId : 'memory-run-2' ,
status : 'done' ,
captured : { wiki : [ ] , sl : [ 'orders' ] , xrefs : [ ] } ,
skillsLoaded : [ 'sl' ] ,
signalDetected : true ,
} ) ;
await expect ( readFile ( join ( project . projectDir , 'semantic-layer/warehouse/orders.yaml' ) , 'utf-8' ) ) . resolves . toContain (
'order_count' ,
) ;
} ) ;
} ) ;