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
This commit is contained in:
Andrey Avtomonov 2026-05-16 11:39:55 +02:00 committed by GitHub
parent a72fca2b32
commit e6d578c03f
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50 changed files with 8092 additions and 3143 deletions

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@ -191,6 +191,36 @@ describe('local KTX embedding config', () => {
expect(resolveLocalKtxEmbeddingConfig(config, {})).toBeNull();
});
it('returns null when backend is openai but no apiKey is resolvable from env', () => {
const config: KtxProjectEmbeddingConfig = {
backend: 'openai',
model: 'text-embedding-3-small',
dimensions: 1536,
openai: { api_key: 'env:OPENAI_API_KEY' }, // pragma: allowlist secret
};
expect(resolveLocalKtxEmbeddingConfig(config, {})).toBeNull();
});
it('resolves openai embedding config from env', () => {
const config: KtxProjectEmbeddingConfig = {
backend: 'openai',
model: 'text-embedding-3-small',
dimensions: 1536,
openai: { api_key: 'env:OPENAI_API_KEY' }, // pragma: allowlist secret
};
expect(
resolveLocalKtxEmbeddingConfig(config, { OPENAI_API_KEY: 'sk-test' }), // pragma: allowlist secret
).toEqual({
backend: 'openai',
model: 'text-embedding-3-small',
dimensions: 1536,
openai: { apiKey: 'sk-test' }, // pragma: allowlist secret
batchSize: undefined,
});
});
it('constructs deterministic embeddings from the default project config', () => {
const createKtxEmbeddingProvider = vi.fn(() => ({}) as never);
const provider = createLocalKtxEmbeddingProviderFromConfig(

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@ -145,11 +145,23 @@ export function resolveLocalKtxEmbeddingConfig(
batchSize: config.batchSize,
};
}
if (config.backend === 'openai') {
const openai = resolvedProviderConfig(config.openai, env);
if (!openai?.apiKey) {
return null;
}
return {
backend: config.backend,
model: config.model ?? 'deterministic',
dimensions: config.dimensions,
openai,
batchSize: config.batchSize,
};
}
return {
backend: config.backend,
model: config.model ?? 'deterministic',
dimensions: config.dimensions,
...(resolvedProviderConfig(config.openai, env) ? { openai: resolvedProviderConfig(config.openai, env) } : {}),
...(config.sentenceTransformers
? {
sentenceTransformers: {