{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_q9eqhszsjrpx","handle":"langgraph-context-mcp","url":"https://wellknown.network/agents/langgraph-context-mcp","links":{"self":"https://wellknown.network/agents/langgraph-context-mcp/record.json","html":"https://wellknown.network/agents/langgraph-context-mcp","markdown":"https://wellknown.network/agents/langgraph-context-mcp/record.md","api":"https://wellknown.network/api/v1/agents/langgraph-context-mcp","status":"https://wellknown.network/api/v1/agents/langgraph-context-mcp/status","claim":"https://wellknown.network/agents/langgraph-context-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/langgraph-context-mcp/claim.json","badge":"https://wellknown.network/agents/langgraph-context-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/langgraph-context-mcp/history","tools":"https://wellknown.network/api/v1/agents/langgraph-context-mcp/tools"},"ard":{"identifier":"urn:air::server:langgraph-context-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"langgraph-context-mcp","summary":"MCP server that parses LangGraph Python codebases into a structural graph model and layers local semantic search on top.","description":"<div align=\"center\">\n\n# LangGraph Context MCP\n\n**Ask your LangGraph codebase what it actually does — structurally, not by grepping.**\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)\n[![Python](https://img.shields.io/badge/python-3.11%2B-blue.svg)](https://www.python.org/downloads/)\n[![Tests](https://img.shields.io/badge/tests-307-brightgreen.svg)](#status--limits)\n[![CI](https://github.com/KarimHabib100/LangGraph-Context-MCP/actions/workflows/ci.yml/badge.svg)](https://github.com/KarimHabib100/LangGraph-Context-MCP/actions/workflows/ci.yml)\n[![MCP](https://img.shields.io/badge/MCP-server-000000.svg)](https://modelcontextprotocol.io)\n\n</div>\n\n---\n\nLangGraph Context MCP is a Model Context Protocol server that parses a LangGraph Python codebase\ninto a structural graph model — nodes, edges, conditional routing, tool bindings — and layers local\nsemantic search on top, so an AI coding assistant can answer questions about your agent's\narchitecture without reading every file.\n\nStructural answers come from parsing the actual graph definition, so they are exact rather than\ninferred. Everything runs locally: no API key, and no network access after the embedding model\ndownloads once.\n\n```\n\"how does execution get from clarify_with_user to the final report?\"\n\n  clarify_with_user → write_research_brief → research_supervisor → final_report_generation\n  (branch at clarify_with_user, routed by the node itself)\n```\n\n## Requirements\n\n- **Python 3.11 or newer**\n- **[uv](https://docs.astral.sh/uv/getting-started/installation/)**, only if you use the `uv`\n  install path below. `pip` works without it.\n- Roughly **500 MB of disk** for the embedding model, downloaded once on first use.\n- No API key. No database server. No network access at query time.\n\n## Install\n\n> **Not yet on PyPI.** The package name is registered as available but publication happens at\n> launch, so the two commands below are the correct forms and will work once it is published.\n> Until the…","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:langgraph-context-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"data.database","name":"Databases","confidence":0.791,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.768,"provenance":"derived"}],"categories":["data","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"langgraph-context-mcp","registry":"pypi","observedAt":"2026-11-09T12:24:03.716Z","publishedAt":"2026-08-19T00:05:46.908357Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"langgraph-context-mcp","url":"https://pypi.org/project/langgraph-context-mcp/","firstSeenAt":"2026-09-09T23:25:00.535Z","fetchedAt":"2026-11-09T12:23:14.233Z","normalizedAt":"2026-11-09T12:23:14.233Z"}]},"firstSeenAt":"2026-09-09T23:25:00.535Z","updatedAt":"2026-11-09T12:24:03.716Z"}