docs: add research-agent MCP dictionary_search plan

This commit is contained in:
Andrey Avtomonov 2026-05-14 18:24:48 +02:00
parent b8418c7a79
commit f1c073b614

View file

@ -0,0 +1,939 @@
# Research Agent MCP Dictionary Search Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** Add the MCP-shaped `dictionary_search` tool so external research agents can resolve user-mentioned literal values to profile-sampled warehouse columns.
**Architecture:** Reuse the existing relationship-profile dictionary extraction as the source of truth, add a focused local dictionary-search service that reports coverage and non-authoritative misses per connection, then register the service through the MCP context tool surface and local project ports. The service re-reads the latest profile artifact on each call instead of keeping a long-lived cache, so scan freshness is correct for the MCP daemon v1.
**Tech Stack:** TypeScript, Vitest, Zod, KTX local file store, relationship-profile artifacts, KTX MCP context ports.
---
## Current Audit
Original spec: `docs/superpowers/specs/2026-05-14-research-agent-mcp-tools-design.md`
Implemented v1 slices:
- `docs/superpowers/plans/2026-05-14-research-agent-mcp-sql-execution-foundation.md` is implemented. Current source has sqlglot read-only validation in `python/ktx-daemon/src/ktx_daemon/sql_analysis.py`, `SqlAnalysisPort.validateReadOnly()` in `packages/context/src/sql-analysis/ports.ts`, MCP `sql_execution` registration in `packages/context/src/mcp/context-tools.ts`, and local connector execution gated by validation in `packages/context/src/mcp/local-project-ports.ts`.
- `docs/superpowers/plans/2026-05-14-research-agent-mcp-entity-details.md` is implemented. Current source has `packages/context/src/scan/entity-details.ts`, MCP `entity_details` registration in `packages/context/src/mcp/context-tools.ts`, and local project wiring in `packages/context/src/mcp/local-project-ports.ts`.
V1-blocking gaps remaining against the original spec:
- `dictionary_search` is not registered on the MCP surface and `KtxMcpContextPorts` has no dictionary-search port.
- `discover_data` is not registered on the MCP surface and the unified ranked result shape is not implemented.
- The ingest-side warehouse-verification tools still use `connectionName` / `targets` / `rowLimit` contracts and have not been fully converged with shared MCP-shaped services.
- `ktx mcp start|stop|status|logs` and the HTTP Streamable MCP daemon do not exist.
- `ktx setup-agents` does not install MCP client config entries or the `ktx-research` skill.
This plan covers only the next focused blocker: MCP `dictionary_search`. Later plans still need to cover `discover_data`, ingest contract convergence, the HTTP daemon, and setup-agent/research-skill installation.
Non-blocking or explicitly out-of-scope gaps:
- Python code execution over MCP.
- Stdio MCP transport.
- OS-level auto-start.
- Native TLS, audit logging, rate limiting, per-tool authorization, and multi-project daemon routing.
- Streaming SQL results.
## File Structure
Create:
- `packages/context/src/sl/dictionary-search.ts`
- Reads the latest `relationship-profile.json` per searched connection.
- Uses `loadLatestSlDictionaryEntries()` for dictionary entries.
- Returns spec-shaped `searched` coverage records, matches, and per-value miss reasons.
- Re-reads artifacts per call rather than caching, satisfying MCP freshness for v1.
- `packages/context/src/sl/dictionary-search.test.ts`
- Covers matches, non-authoritative misses, missing profile artifacts, no candidate columns, case-insensitive substring matching, and connection scoping.
Modify:
- `packages/context/src/sl/index.ts`
- Export the new service and response types.
- `packages/context/src/mcp/types.ts`
- Add `KtxDictionarySearchMcpPort` and include `dictionarySearch` in `KtxMcpContextPorts`.
- `packages/context/src/mcp/context-tools.ts`
- Add the `dictionary_search` Zod schema and registration.
- `packages/context/src/mcp/server.test.ts`
- Assert MCP registration and structured output for `dictionary_search`.
- `packages/context/src/mcp/local-project-ports.ts`
- Wire local project dictionary search to the new service.
- `packages/context/src/mcp/local-project-ports.test.ts`
- Cover local-port `dictionary_search` success and missing-profile behavior.
- `packages/context/src/mcp/index.ts`
- Export the new MCP port type if it is not already covered by existing barrel exports.
## Task 1: Add The Dictionary Search Service
**Files:**
- Create: `packages/context/src/sl/dictionary-search.test.ts`
- Create: `packages/context/src/sl/dictionary-search.ts`
- Modify: `packages/context/src/sl/index.ts`
- [ ] **Step 1: Write failing service tests**
Create `packages/context/src/sl/dictionary-search.test.ts`:
```typescript
import { mkdtemp, rm } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { afterEach, beforeEach, describe, expect, it } from 'vitest';
import { initKtxProject, type KtxLocalProject } from '../project/index.js';
import { createKtxDictionarySearchService } from './dictionary-search.js';
describe('createKtxDictionarySearchService', () => {
let tempDir: string;
let project: KtxLocalProject;
beforeEach(async () => {
tempDir = await mkdtemp(join(tmpdir(), 'ktx-dictionary-search-'));
project = await initKtxProject({ projectDir: join(tempDir, 'project'), projectName: 'warehouse' });
project.config.connections.warehouse = { driver: 'postgres', url: 'env:DATABASE_URL' };
project.config.connections.billing = { driver: 'postgres', url: 'env:BILLING_DATABASE_URL' };
});
afterEach(async () => {
await rm(tempDir, { recursive: true, force: true });
});
async function seedProfile(input: {
connectionId: string;
syncId: string;
columns: Record<string, unknown>;
}): Promise<void> {
await project.fileStore.writeFile(
`raw-sources/${input.connectionId}/live-database/${input.syncId}/enrichment/relationship-profile.json`,
`${JSON.stringify(
{
connectionId: input.connectionId,
driver: 'postgres',
sqlAvailable: true,
queryCount: 4,
tables: [],
columns: input.columns,
warnings: [],
},
null,
2,
)}\n`,
'ktx',
'ktx@example.com',
'Seed relationship profile',
);
}
it('returns matches and non-authoritative misses across configured connections', async () => {
await seedProfile({
connectionId: 'warehouse',
syncId: 'sync-1',
columns: {
'orders.status': {
table: { catalog: null, db: 'public', name: 'orders' },
column: 'status',
nativeType: 'text',
normalizedType: 'string',
distinctCount: 3,
sampleValues: ['paid', 'refunded', 'pending'],
},
},
});
await seedProfile({
connectionId: 'billing',
syncId: 'sync-2',
columns: {
'customers.name': {
table: { catalog: null, db: 'public', name: 'customers' },
column: 'name',
nativeType: 'text',
normalizedType: 'string',
distinctCount: 4,
sampleValues: ['Acme Corp', 'Globex'],
},
},
});
const service = createKtxDictionarySearchService(project);
await expect(service.search({ values: ['PAID', 'missing'] })).resolves.toEqual({
searched: [
{
connectionId: 'billing',
coverage: {
sampledRows: null,
valuesPerColumn: null,
profiledColumns: 1,
syncId: 'sync-2',
profiledAt: null,
},
status: 'ready',
},
{
connectionId: 'warehouse',
coverage: {
sampledRows: null,
valuesPerColumn: null,
profiledColumns: 1,
syncId: 'sync-1',
profiledAt: null,
},
status: 'ready',
},
],
results: [
{
value: 'PAID',
matches: [
{
connectionId: 'warehouse',
sourceName: 'orders',
columnName: 'status',
matchedValue: 'paid',
cardinality: 3,
},
],
misses: [{ connectionId: 'billing', reason: 'value_not_in_sample' }],
},
{
value: 'missing',
matches: [],
misses: [
{ connectionId: 'billing', reason: 'value_not_in_sample' },
{ connectionId: 'warehouse', reason: 'value_not_in_sample' },
],
},
],
});
});
it('distinguishes missing profile artifacts from profiles with no candidate columns', async () => {
await seedProfile({
connectionId: 'billing',
syncId: 'sync-empty',
columns: {
'events.id': {
table: { catalog: null, db: 'public', name: 'events' },
column: 'id',
nativeType: 'integer',
normalizedType: 'integer',
distinctCount: 100,
sampleValues: [1, 2, 3],
},
},
});
const service = createKtxDictionarySearchService(project);
await expect(service.search({ values: ['Acme'] })).resolves.toEqual({
searched: [
{
connectionId: 'billing',
coverage: {
sampledRows: null,
valuesPerColumn: null,
profiledColumns: 0,
syncId: 'sync-empty',
profiledAt: null,
},
status: 'no_candidate_columns',
},
{
connectionId: 'warehouse',
coverage: {
sampledRows: null,
valuesPerColumn: null,
profiledColumns: 0,
syncId: null,
profiledAt: null,
},
status: 'no_profile_artifact',
},
],
results: [
{
value: 'Acme',
matches: [],
misses: [
{ connectionId: 'billing', reason: 'no_candidate_columns' },
{ connectionId: 'warehouse', reason: 'no_profile_artifact' },
],
},
],
});
});
it('scopes search to the requested connection', async () => {
await seedProfile({
connectionId: 'warehouse',
syncId: 'sync-1',
columns: {
'orders.status': {
table: { catalog: null, db: 'public', name: 'orders' },
column: 'status',
nativeType: 'text',
normalizedType: 'string',
distinctCount: 3,
sampleValues: ['paid'],
},
},
});
await seedProfile({
connectionId: 'billing',
syncId: 'sync-2',
columns: {
'invoices.status': {
table: { catalog: null, db: 'public', name: 'invoices' },
column: 'status',
nativeType: 'text',
normalizedType: 'string',
distinctCount: 2,
sampleValues: ['paid'],
},
},
});
const service = createKtxDictionarySearchService(project);
await expect(service.search({ connectionId: 'billing', values: ['paid'] })).resolves.toMatchObject({
searched: [{ connectionId: 'billing', status: 'ready' }],
results: [
{
value: 'paid',
matches: [{ connectionId: 'billing', sourceName: 'invoices', columnName: 'status', matchedValue: 'paid' }],
misses: [],
},
],
});
});
});
```
- [ ] **Step 2: Run service tests to verify they fail**
Run:
```bash
pnpm --filter @ktx/context exec vitest run src/sl/dictionary-search.test.ts
```
Expected: FAIL with `Cannot find module './dictionary-search.js'`.
- [ ] **Step 3: Implement the dictionary search service**
Create `packages/context/src/sl/dictionary-search.ts`:
```typescript
import type { KtxLocalProject } from '../project/index.js';
import { loadLatestSlDictionaryEntries, type SlDictionaryEntry } from './sl-dictionary-profile.js';
export type KtxDictionarySearchStatus = 'ready' | 'no_profile_artifact' | 'no_candidate_columns';
export type KtxDictionarySearchMissReason = 'no_profile_artifact' | 'no_candidate_columns' | 'value_not_in_sample';
export interface KtxDictionarySearchInput {
values: string[];
connectionId?: string;
}
export interface KtxDictionarySearchCoverage {
sampledRows: number | null;
valuesPerColumn: number | null;
profiledColumns: number;
syncId: string | null;
profiledAt: string | null;
}
export interface KtxDictionarySearchSearchedConnection {
connectionId: string;
coverage: KtxDictionarySearchCoverage;
status: KtxDictionarySearchStatus;
}
export interface KtxDictionarySearchMatch {
connectionId: string;
sourceName: string;
columnName: string;
matchedValue: string;
cardinality: number | null;
}
export interface KtxDictionarySearchMiss {
connectionId: string;
reason: KtxDictionarySearchMissReason;
}
export interface KtxDictionarySearchValueResult {
value: string;
matches: KtxDictionarySearchMatch[];
misses: KtxDictionarySearchMiss[];
}
export interface KtxDictionarySearchResponse {
searched: KtxDictionarySearchSearchedConnection[];
results: KtxDictionarySearchValueResult[];
}
interface RelationshipProfileArtifact {
connectionId?: string;
profileSampleRows?: unknown;
sampleValuesPerColumn?: unknown;
profiledAt?: unknown;
extractedAt?: unknown;
}
function uniqueSorted(values: Iterable<string>): string[] {
return [...new Set([...values].filter((value) => value.trim().length > 0))].sort((left, right) =>
left.localeCompare(right),
);
}
function latestProfileSyncId(path: string): string | null {
const parts = path.split('/');
return parts.at(-3) ?? null;
}
function optionalNumber(value: unknown): number | null {
return typeof value === 'number' && Number.isFinite(value) ? value : null;
}
function optionalString(value: unknown): string | null {
return typeof value === 'string' && value.trim().length > 0 ? value : null;
}
async function latestProfilePath(project: KtxLocalProject, connectionId: string): Promise<string | null> {
const root = `raw-sources/${connectionId}/live-database`;
let files: string[];
try {
files = (await project.fileStore.listFiles(root)).files;
} catch {
return null;
}
return files
.filter((path) => path.endsWith('/enrichment/relationship-profile.json'))
.sort((left, right) => left.localeCompare(right))
.at(-1) ?? null;
}
async function readProfile(project: KtxLocalProject, path: string): Promise<RelationshipProfileArtifact> {
const raw = await project.fileStore.readFile(path);
const parsed = JSON.parse(raw.content) as unknown;
return typeof parsed === 'object' && parsed !== null && !Array.isArray(parsed)
? (parsed as RelationshipProfileArtifact)
: {};
}
function profiledColumnCount(entries: readonly SlDictionaryEntry[]): number {
return new Set(entries.map((entry) => `${entry.sourceName}\u001f${entry.columnName}`)).size;
}
async function searchedConnection(
project: KtxLocalProject,
connectionId: string,
entries: readonly SlDictionaryEntry[],
): Promise<KtxDictionarySearchSearchedConnection> {
const path = await latestProfilePath(project, connectionId);
if (!path) {
return {
connectionId,
coverage: {
sampledRows: null,
valuesPerColumn: null,
profiledColumns: 0,
syncId: null,
profiledAt: null,
},
status: 'no_profile_artifact',
};
}
const profile = await readProfile(project, path);
const count = profiledColumnCount(entries);
return {
connectionId,
coverage: {
sampledRows: optionalNumber(profile.profileSampleRows),
valuesPerColumn: optionalNumber(profile.sampleValuesPerColumn),
profiledColumns: count,
syncId: latestProfileSyncId(path),
profiledAt: optionalString(profile.profiledAt) ?? optionalString(profile.extractedAt),
},
status: count > 0 ? 'ready' : 'no_candidate_columns',
};
}
function entryMatchesValue(entry: SlDictionaryEntry, value: string): boolean {
return entry.value.toLowerCase().includes(value.toLowerCase());
}
function toMatch(entry: SlDictionaryEntry): KtxDictionarySearchMatch {
return {
connectionId: entry.connectionId,
sourceName: entry.sourceName,
columnName: entry.columnName,
matchedValue: entry.value,
cardinality: entry.cardinality,
};
}
function sortMatches(matches: KtxDictionarySearchMatch[]): KtxDictionarySearchMatch[] {
return matches.sort(
(left, right) =>
left.connectionId.localeCompare(right.connectionId) ||
left.sourceName.localeCompare(right.sourceName) ||
left.columnName.localeCompare(right.columnName) ||
left.matchedValue.localeCompare(right.matchedValue),
);
}
function missReason(status: KtxDictionarySearchStatus): KtxDictionarySearchMissReason {
return status === 'ready' ? 'value_not_in_sample' : status;
}
export function createKtxDictionarySearchService(project: KtxLocalProject) {
return {
async search(input: KtxDictionarySearchInput): Promise<KtxDictionarySearchResponse> {
const connectionIds = input.connectionId ? [input.connectionId] : uniqueSorted(Object.keys(project.config.connections));
const entries = await loadLatestSlDictionaryEntries(project, connectionIds);
const entriesByConnection = new Map<string, SlDictionaryEntry[]>();
for (const connectionId of connectionIds) {
entriesByConnection.set(
connectionId,
entries.filter((entry) => entry.connectionId === connectionId),
);
}
const searched = (
await Promise.all(
connectionIds.map((connectionId) =>
searchedConnection(project, connectionId, entriesByConnection.get(connectionId) ?? []),
),
)
).sort((left, right) => left.connectionId.localeCompare(right.connectionId));
const searchedByConnection = new Map(searched.map((connection) => [connection.connectionId, connection]));
return {
searched,
results: input.values.map((value) => {
const matches = sortMatches(entries.filter((entry) => entryMatchesValue(entry, value)).map(toMatch));
const matchedConnections = new Set(matches.map((match) => match.connectionId));
return {
value,
matches,
misses: searched
.filter((connection) => !matchedConnections.has(connection.connectionId))
.map((connection) => ({
connectionId: connection.connectionId,
reason: missReason(searchedByConnection.get(connection.connectionId)?.status ?? 'no_profile_artifact'),
})),
};
}),
};
},
};
}
```
- [ ] **Step 4: Export the service**
In `packages/context/src/sl/index.ts`, add:
```typescript
export {
createKtxDictionarySearchService,
} from './dictionary-search.js';
export type {
KtxDictionarySearchCoverage,
KtxDictionarySearchInput,
KtxDictionarySearchMatch,
KtxDictionarySearchMiss,
KtxDictionarySearchMissReason,
KtxDictionarySearchResponse,
KtxDictionarySearchSearchedConnection,
KtxDictionarySearchStatus,
KtxDictionarySearchValueResult,
} from './dictionary-search.js';
```
- [ ] **Step 5: Run service tests**
Run:
```bash
pnpm --filter @ktx/context exec vitest run src/sl/dictionary-search.test.ts
```
Expected: PASS.
- [ ] **Step 6: Commit the service slice**
Run:
```bash
git add packages/context/src/sl/dictionary-search.ts packages/context/src/sl/dictionary-search.test.ts packages/context/src/sl/index.ts
git commit -m "feat(context): add dictionary search service"
```
## Task 2: Register The MCP `dictionary_search` Tool
**Files:**
- Modify: `packages/context/src/mcp/types.ts`
- Modify: `packages/context/src/mcp/context-tools.ts`
- Modify: `packages/context/src/mcp/server.test.ts`
- Modify: `packages/context/src/mcp/index.ts`
- [ ] **Step 1: Add MCP port types**
In `packages/context/src/mcp/types.ts`, extend the imports:
```typescript
import type { KtxDictionarySearchInput, KtxDictionarySearchResponse } from '../sl/index.js';
```
Add this interface near the other MCP port interfaces:
```typescript
export interface KtxDictionarySearchMcpPort {
search(input: KtxDictionarySearchInput): Promise<KtxDictionarySearchResponse>;
}
```
Add the new optional port to `KtxMcpContextPorts`:
```typescript
export interface KtxMcpContextPorts {
connections?: KtxConnectionsMcpPort;
knowledge?: KtxKnowledgeMcpPort;
semanticLayer?: KtxSemanticLayerMcpPort;
entityDetails?: KtxEntityDetailsMcpPort;
dictionarySearch?: KtxDictionarySearchMcpPort;
sqlExecution?: KtxSqlExecutionMcpPort;
ingest?: KtxIngestMcpPort;
scan?: KtxScanMcpPort;
}
```
- [ ] **Step 2: Write failing MCP registration test**
In `packages/context/src/mcp/server.test.ts`, update the type import list to include:
```typescript
KtxDictionarySearchMcpPort,
```
Add this test after the `entity_details` registration test:
```typescript
it('registers dictionary_search when the host provides a dictionary-search port', async () => {
const fake = makeFakeServer();
const dictionarySearch: KtxDictionarySearchMcpPort = {
search: vi.fn<KtxDictionarySearchMcpPort['search']>().mockResolvedValue({
searched: [
{
connectionId: 'warehouse',
coverage: {
sampledRows: null,
valuesPerColumn: null,
profiledColumns: 1,
syncId: 'sync-1',
profiledAt: null,
},
status: 'ready',
},
],
results: [
{
value: 'paid',
matches: [
{
connectionId: 'warehouse',
sourceName: 'orders',
columnName: 'status',
matchedValue: 'paid',
cardinality: 3,
},
],
misses: [],
},
],
}),
};
createKtxMcpServer({
server: fake.server,
userContext: { userId: 'local-user' },
contextTools: { dictionarySearch },
});
expect(fake.tools.map((tool) => tool.name)).toEqual(['dictionary_search']);
await expect(
getTool(fake.tools, 'dictionary_search').handler({
connectionId: 'warehouse',
values: ['paid'],
}),
).resolves.toMatchObject({
structuredContent: {
searched: [{ connectionId: 'warehouse', status: 'ready' }],
results: [
{
value: 'paid',
matches: [{ connectionId: 'warehouse', sourceName: 'orders', columnName: 'status' }],
misses: [],
},
],
},
});
expect(dictionarySearch.search).toHaveBeenCalledWith({
connectionId: 'warehouse',
values: ['paid'],
});
});
```
- [ ] **Step 3: Run failing MCP registration test**
Run:
```bash
pnpm --filter @ktx/context exec vitest run src/mcp/server.test.ts -t "dictionary_search"
```
Expected: FAIL because `dictionary_search` is not registered.
- [ ] **Step 4: Add the MCP schema and registration**
In `packages/context/src/mcp/context-tools.ts`, add the input schema near the other research schemas:
```typescript
const dictionarySearchSchema = z.object({
values: z.array(z.string().min(1)).min(1).max(20),
connectionId: connectionIdSchema.optional(),
});
```
Add this registration block after `entity_details` and before `sql_execution`:
```typescript
if (ports.dictionarySearch) {
const dictionarySearch = ports.dictionarySearch;
registerParsedTool(
server,
'dictionary_search',
{
title: 'Dictionary Search',
description:
'Search profile-sampled warehouse values and report matching connection/source/column locations plus non-authoritative miss reasons.',
inputSchema: dictionarySearchSchema.shape,
},
dictionarySearchSchema,
async (input) => jsonToolResult(await dictionarySearch.search(input)),
);
}
```
- [ ] **Step 5: Confirm MCP barrel exports**
Open `packages/context/src/mcp/index.ts`. If it exports from `./types.js`, no change is needed. If it lists named type exports, add `KtxDictionarySearchMcpPort` to that list.
- [ ] **Step 6: Run MCP registration test**
Run:
```bash
pnpm --filter @ktx/context exec vitest run src/mcp/server.test.ts -t "dictionary_search"
```
Expected: PASS.
- [ ] **Step 7: Commit MCP registration**
Run:
```bash
git add packages/context/src/mcp/types.ts packages/context/src/mcp/context-tools.ts packages/context/src/mcp/server.test.ts packages/context/src/mcp/index.ts
git commit -m "feat(context): register MCP dictionary search tool"
```
## Task 3: Wire Local Project MCP Ports
**Files:**
- Modify: `packages/context/src/mcp/local-project-ports.ts`
- Modify: `packages/context/src/mcp/local-project-ports.test.ts`
- [ ] **Step 1: Write failing local-port tests**
In `packages/context/src/mcp/local-project-ports.test.ts`, add this test after the entity-details local-port tests:
```typescript
it('exposes local dictionary search through MCP ports', async () => {
const project = await initKtxProject({ projectDir: tempDir, projectName: 'warehouse' });
project.config.connections.warehouse = {
driver: 'postgres',
url: 'env:DATABASE_URL',
};
await project.fileStore.writeFile(
'raw-sources/warehouse/live-database/sync-1/enrichment/relationship-profile.json',
`${JSON.stringify(
{
connectionId: 'warehouse',
driver: 'postgres',
sqlAvailable: true,
queryCount: 4,
tables: [],
columns: {
'orders.status': {
table: { catalog: null, db: 'public', name: 'orders' },
column: 'status',
nativeType: 'text',
normalizedType: 'string',
distinctCount: 2,
sampleValues: ['paid', 'refunded'],
},
},
warnings: [],
},
null,
2,
)}\n`,
'ktx',
'ktx@example.com',
'Seed dictionary profile',
);
const ports = createLocalProjectMcpContextPorts(project);
await expect(ports.dictionarySearch?.search({ values: ['paid'] })).resolves.toMatchObject({
searched: [{ connectionId: 'warehouse', status: 'ready' }],
results: [
{
value: 'paid',
matches: [{ connectionId: 'warehouse', sourceName: 'orders', columnName: 'status', matchedValue: 'paid' }],
misses: [],
},
],
});
});
it('reports missing local dictionary profiles through MCP ports', async () => {
const project = await initKtxProject({ projectDir: tempDir, projectName: 'warehouse' });
project.config.connections.warehouse = {
driver: 'postgres',
url: 'env:DATABASE_URL',
};
const ports = createLocalProjectMcpContextPorts(project);
await expect(ports.dictionarySearch?.search({ values: ['paid'] })).resolves.toEqual({
searched: [
{
connectionId: 'warehouse',
coverage: {
sampledRows: null,
valuesPerColumn: null,
profiledColumns: 0,
syncId: null,
profiledAt: null,
},
status: 'no_profile_artifact',
},
],
results: [
{
value: 'paid',
matches: [],
misses: [{ connectionId: 'warehouse', reason: 'no_profile_artifact' }],
},
],
});
});
```
- [ ] **Step 2: Run failing local-port tests**
Run:
```bash
pnpm --filter @ktx/context exec vitest run src/mcp/local-project-ports.test.ts -t "dictionary"
```
Expected: FAIL because `ports.dictionarySearch` is undefined.
- [ ] **Step 3: Wire the local port**
In `packages/context/src/mcp/local-project-ports.ts`, update the SL import block to include:
```typescript
createKtxDictionarySearchService,
```
Add this port to the `ports` object returned by `createLocalProjectMcpContextPorts()` near `entityDetails`:
```typescript
dictionarySearch: {
async search(input) {
return createKtxDictionarySearchService(project).search(input);
},
},
```
- [ ] **Step 4: Run local-port tests**
Run:
```bash
pnpm --filter @ktx/context exec vitest run src/mcp/local-project-ports.test.ts -t "dictionary"
```
Expected: PASS.
- [ ] **Step 5: Commit local-port wiring**
Run:
```bash
git add packages/context/src/mcp/local-project-ports.ts packages/context/src/mcp/local-project-ports.test.ts
git commit -m "feat(context): expose local MCP dictionary search"
```
## Task 4: Final Verification
**Files:**
- Verify all files changed in Tasks 1-3.
- [ ] **Step 1: Run focused tests**
Run:
```bash
pnpm --filter @ktx/context exec vitest run src/sl/dictionary-search.test.ts src/mcp/server.test.ts src/mcp/local-project-ports.test.ts
```
Expected: PASS for dictionary-search service, MCP registration, and local-port coverage.
- [ ] **Step 2: Run context type-check**
Run:
```bash
pnpm --filter @ktx/context run type-check
```
Expected: PASS.
- [ ] **Step 3: Inspect diff**
Run:
```bash
git status --short
git diff --stat HEAD
```
Expected: only the dictionary-search service, MCP type/registration, tests, and exports changed.
- [ ] **Step 4: Commit verification note if needed**
If the previous tasks already committed all source changes, do not create an empty commit. If a small follow-up fix was required during verification, commit only those files:
```bash
git add packages/context/src/sl/dictionary-search.ts packages/context/src/sl/dictionary-search.test.ts packages/context/src/sl/index.ts packages/context/src/mcp/types.ts packages/context/src/mcp/context-tools.ts packages/context/src/mcp/server.test.ts packages/context/src/mcp/index.ts packages/context/src/mcp/local-project-ports.ts packages/context/src/mcp/local-project-ports.test.ts
git commit -m "test(context): cover MCP dictionary search"
```