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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
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50 changed files with 8092 additions and 3143 deletions
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@ -47,7 +47,7 @@ import {
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} from '../wiki/index.js';
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import { LocalMemoryRunStore } from './local-memory-runs.js';
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import { MemoryAgentService } from './memory-agent.service.js';
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import { MemoryCaptureService } from './memory-runs.js';
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import { MemoryIngestService } from './memory-runs.js';
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import type {
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MemoryConnectionPort,
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MemoryFileStorePort,
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@ -60,9 +60,9 @@ import type {
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const promptsDir = fileURLToPath(new URL('../../prompts', import.meta.url));
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const skillsDir = fileURLToPath(new URL('../../skills', import.meta.url));
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const LOCAL_AUTHOR = { name: 'KTX Local', email: 'local@ktx.local' };
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const LOCAL_SHAPE_WARNING = 'Local memory capture validates semantic-layer YAML shape only.';
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const LOCAL_SHAPE_WARNING = 'Local memory ingest validates semantic-layer YAML shape only.';
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export interface CreateLocalProjectMemoryCaptureOptions {
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export interface CreateLocalProjectMemoryIngestOptions {
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llmProvider?: KtxLlmProvider;
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agentRunner?: AgentRunnerService;
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memoryModel?: string;
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@ -72,10 +72,10 @@ export interface CreateLocalProjectMemoryCaptureOptions {
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logger?: KtxLogger;
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}
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export function createLocalProjectMemoryCapture(
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export function createLocalProjectMemoryIngest(
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project: KtxLocalProject,
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options: CreateLocalProjectMemoryCaptureOptions = {},
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): MemoryCaptureService {
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options: CreateLocalProjectMemoryIngestOptions = {},
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): MemoryIngestService {
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const logger = options.logger ?? noopLogger;
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const rootFileStore = new LocalMemoryFileStore(project.fileStore);
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const embedding = new NoopEmbeddingPort();
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@ -137,7 +137,7 @@ export function createLocalProjectMemoryCapture(
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toolsetFactory,
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logger,
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});
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return new MemoryCaptureService({
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return new MemoryIngestService({
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memoryAgent,
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runs: new LocalMemoryRunStore({ projectDir: project.projectDir, idFactory: options.runIdFactory }),
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});
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@ -145,7 +145,7 @@ export function createLocalProjectMemoryCapture(
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function requireLlmProvider(provider: KtxLlmProvider | null | undefined): KtxLlmProvider {
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if (!provider) {
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throw new Error('createLocalProjectMemoryCapture requires llm.provider.backend or an injected agentRunner');
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throw new Error('createLocalProjectMemoryIngest requires llm.provider.backend or an injected agentRunner');
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}
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return provider;
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}
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