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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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@ -2,7 +2,7 @@ import { request as httpRequest } from 'node:http';
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import { request as httpsRequest } from 'node:https';
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import { URL } from 'node:url';
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import { spawn } from 'node:child_process';
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import type { SemanticLayerQueryInput, SemanticLayerSource } from '../sl/index.js';
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import type { ResolvedSemanticLayerSource, SemanticLayerQueryInput } from '../sl/types.js';
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export interface KtxSemanticLayerComputeQueryResult {
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sql: string;
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@ -54,13 +54,21 @@ export interface KtxSemanticLayerSourceGenerationResult {
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}
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export interface KtxSemanticLayerComputePort {
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/**
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* Callers must pass sources sanitized through toResolvedWire. The Python
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* daemon rejects authoring-only fields such as usage and inherits_columns_from.
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*/
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query(input: {
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sources: Array<Record<string, unknown> | SemanticLayerSource>;
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sources: ResolvedSemanticLayerSource[];
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query: SemanticLayerQueryInput;
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dialect: string;
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}): Promise<KtxSemanticLayerComputeQueryResult>;
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/**
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* Callers must pass sources sanitized through toResolvedWire. The Python
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* daemon rejects authoring-only fields such as usage and inherits_columns_from.
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*/
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validateSources(input: {
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sources: Array<Record<string, unknown> | SemanticLayerSource>;
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sources: ResolvedSemanticLayerSource[];
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dialect: string;
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recentlyTouched?: string[];
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}): Promise<KtxSemanticLayerComputeValidationResult>;
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