{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_cnxm6pn7ke4y","handle":"iflow-mcp-nahisaho-codegraph-mcp-server","url":"https://wellknown.network/agents/iflow-mcp-nahisaho-codegraph-mcp-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-nahisaho-codegraph-mcp-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-nahisaho-codegraph-mcp-server","markdown":"https://wellknown.network/agents/iflow-mcp-nahisaho-codegraph-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-nahisaho-codegraph-mcp-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-nahisaho-codegraph-mcp-server/status","claim":"https://wellknown.network/agents/iflow-mcp-nahisaho-codegraph-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-nahisaho-codegraph-mcp-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-nahisaho-codegraph-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-nahisaho-codegraph-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-nahisaho-codegraph-mcp-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-nahisaho-codegraph-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_nahisaho_codegraph-mcp-server","summary":"MCP Server for code graph analysis with GraphRAG capabilities","description":"# CodeGraphMCPServer\n\n**A lightweight, high-performance source code analysis MCP server with zero configuration**\n\n[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![MCP](https://img.shields.io/badge/MCP-1.0-green.svg)](https://modelcontextprotocol.io/)\n[![Tests](https://img.shields.io/badge/tests-334%20passed-brightgreen.svg)]()\n[![Coverage](https://img.shields.io/badge/coverage-64%25-yellow.svg)]()\n[![CI](https://github.com/nahisaho/CodeGraphMCPServer/actions/workflows/ci.yml/badge.svg)](https://github.com/nahisaho/CodeGraphMCPServer/actions/workflows/ci.yml)\n\n[🇯🇵 日本語版 README](README.ja.md)\n\n## Overview\n\nCodeGraphMCPServer is an MCP server that understands codebase structure and provides GraphRAG (Graph Retrieval-Augmented Generation) capabilities. With a self-contained architecture requiring no external database, it enables structural understanding and efficient code completion from MCP-compatible AI tools (GitHub Copilot, Claude Desktop, Cursor, etc.).\n\n### 🧠 GraphRAG Features\n\n- **Community Detection**: Automatic code module clustering using Louvain algorithm\n- **LLM Integration**: Multi-provider design supporting OpenAI/Anthropic/Local LLMs\n- **Global Search**: Codebase-wide understanding using community summaries\n- **Local Search**: Context retrieval from entity neighborhoods\n\n### ✨ Features\n\n| Feature | Description |\n|---------|-------------|\n| 🚀 **Zero Configuration** | No external DB required, `pip install && serve` to start immediately |\n| 🌳 **AST Analysis** | Fast and accurate code analysis with Tree-sitter |\n| 🔗 **Graph Construction** | Builds graphs of relationships between code entities |\n| 🔍 **14 MCP Tools** | Dependency analysis, call tracing, code search |\n| 📚 **4 MCP Resources** | Entities, files, communities, statistics |\n| 💬 **6 MCP Prompts** | Code review, feature implemen…","publisher":{"name":"nahisaho","url":null},"homepage":"https://github.com/nahisaho/CodeGraphMCPServer#readme","repository":"https://github.com/nahisaho/CodeGraphMCPServer#readme","version":"0.8.0","license":"MIT","protocols":["mcp"],"tags":["ast","code-analysis","graphrag","mcp","tree-sitter"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_nahisaho_codegraph-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"code.review","name":"Code Review","confidence":0.836,"provenance":"derived"},{"slug":"knowledge.knowledge-graph","name":"Knowledge Graphs","confidence":0.791,"provenance":"derived"}],"categories":["code","knowledge"],"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":"iflow-mcp_nahisaho_codegraph-mcp-server","registry":"pypi","observedAt":"2026-10-28T05:24:17.158Z","publishedAt":"2026-02-03T03:47:43.390973Z","latestVersion":"0.8.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_nahisaho_codegraph-mcp-server","url":"https://pypi.org/project/iflow-mcp_nahisaho_codegraph-mcp-server/","firstSeenAt":"2026-09-09T20:24:26.427Z","fetchedAt":"2026-10-28T05:23:49.366Z","normalizedAt":"2026-10-28T05:23:49.366Z"}]},"firstSeenAt":"2026-09-09T20:24:26.427Z","updatedAt":"2026-10-28T05:24:17.158Z"}