pulsemcp scanned Safe content atomic mcp-remote

Repository GraphRAG

GraphRAG-based MCP server that builds repository knowledge graphs by combining Tree-sitter code parsing with LightRAG document processing, enabling intelligent Q&A and change planning across codebases. Built by yumeiriowl, it supports 15+ programming languages (Python, Java, TypeScript, Rust, Go, etc.) and multiple LLM providers (OpenAI, Anthropic, Azure OpenAI, Gemini), using semantic similarity to merge code entities with document entities for unified understanding. The implementation provides three core tools: graph_create for building storage from directories, graph_query for answering questions about codebases, and graph_plan for generating implementation plans, making it valuable for code comprehension, refactoring guidance, and development planning across large repositories.

Cognium trust score

61%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/yumeiriowl/repo-graphrag-mcp
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

View source Find related skills

MCP

Resolve Repository GraphRAG from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"