synpulse8-opensourcesynpulse8-opensource/pulse8-ai-cortex-knowledge-vault/.cursor/skills/cortex-mcp/SKILL.md

cortex-mcp

Skill15 starsChanged 5 months agoApache-2.0View on GitHub

Cortex MCP server — vault_read, vault_write, vault_search, vault_feedback, and other tools. Use for MCP clients, Claude Desktop, Cursor MCP, streamable HTTP.

Reads credentials

In this repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- cortex-apiSkill
- cortex-authSkill
- cortex-compilerSkill
- cortex-contributingSkill
- cortex-deploySkill
- cortex-feedbackSkill
- cortex-graph-searchSkill
- cortexSkill
- cortex-vaultSkill

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.

Common
Distinctive
Very specific

Very specific:
Use MCP tools for agent workflows.
line 53
Very specific:
Follow checklist in cortex-contributing: handler → http_server.py + server.py → tests → update reference + README.
line 71

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.

Files

SKILL.md

Cortex MCP

Transports

Mode	How	Config
HTTP	`http://localhost:8420/mcp/`	`CORTEX_MCP_TRANSPORT=http`, Docker or `scripts/serve.py`
stdio	Claude Desktop subprocess	`CORTEX_MCP_TRANSPORT=stdio`

HTTP uses FastMCP streamable HTTP (stateless_http=True, JSON responses).

Authentication

`AUTH_METHOD`	MCP behavior
`none`	Open
`apikey`	`x-api-key` header must match `API_KEY` / `CORTEX_API_KEY`
`oidc`	FastMCP OIDCProxy (browser login); API key fallback if configured

REST uses AuthMiddleware; MCP uses ApiKeyGuardMiddleware when apikey. See cortex-auth.

HTTP session flow

POST /mcp/ — initialize (JSON-RPC 2.0)
Save mcp-session-id response header if present
notifications/initialized
tools/call with name and arguments

Header: Accept: application/json, text/event-stream

Implementation map

Layer	File
Tool handlers (shared with REST logic)	`cortex/mcp/tools.py`
HTTP tool registration	`cortex/mcp/http_server.py`
stdio server	`cortex/mcp/server.py`
Mount on FastAPI app	`mount_mcp_on_app()` in `http_server.py`

Handlers receive injected services: vault_path, graph, qmd, qmd_debounce, compiler.

Cursor integration

This project may register a local MCP server (e.g. user-cortex_local) pointing at http://localhost:8420/mcp/ with x-api-key when auth is enabled.

Use MCP tools for agent workflows; prefer vault_context for RAG-style retrieval.

Tool list

See reference.md for all 10 tools (including vault_resource_read), parameters, and return shapes.

MCP resources (`cortex://resource/{id}`)

Token-heavy tool outputs can be opted into the server-side resource store via as_resource: true on vault_search / vault_context (and GET /api/v1/search?as_resource=true on REST). The store is in-memory, TTL-bounded, and LRU-capped; tune with CORTEX_RESOURCE_TTL_SECONDS and CORTEX_RESOURCE_MAX_ITEMS. See reference.md for details.

Adding a tool

Follow checklist in cortex-contributing: handler → http_server.py + server.py → tests → update reference + README.

Related skills

REST mirror: cortex-api
Deploy/local URL: cortex-deploy

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