mcp-code-graph CLAUDE.md

A repository guide for an MCP server that connects CodeGPT's code graphs to coding tools. MCP, or Model Context Protocol, is a standard way for an AI tool to call functions such as code search and retrieval.

In plain words
What is it for?
Use it when developing the TypeScript server, building it, running it locally, debugging it, or working on graph search and dependency-analysis tools.
Why use it?
It explains how to build, run, and debug the server and what each code-graph operation is intended to do.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/diffbot/mcp-code-graph/claude-md
Clone the repo
git clone --depth 1 https://github.com/diffbot/mcp-code-graph
Per session 482 This file is loaded in full into every session.
When invoked 482 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00482 $0.00482
Opus 5 $0.00241 $0.00241
Sonnet 5 $0.00096 $0.00096
Haiku 4.5 $0.00048 $0.00048

Measured 2d ago against content hash 52a015f36771, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-code-graph CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This is a Model Context Protocol (MCP) server that provides seamless interaction with CodeGPT's Code Graphs. The server enables semantic code search, dependency analysis, and code retrieval across repository knowledge graphs.

Development Commands

# Build the project
npm run build

# Build and watch for changes during development
npm run watch

# Test the MCP server locally
node dist/index.js

# Debug MCP server with wrapper
node debug-mcp.js

Architecture

Core Components

  • src/index.ts: Main MCP server implementation with all tool definitions
  • debug-mcp.js: Wrapper script for debugging ES module compatibility
  • dist/: Compiled JavaScript output (generated by TypeScript)

MCP Tools Implemented

The server implements 6 main tools for interacting with CodeGPT's knowledge graphs:

  1. list-graphs: Lists available repository graphs (only when CODEGPT_GRAPH_ID not set)
  2. get-code: Retrieves complete code implementation of functionalities
  3. find-direct-connections: Explores immediate relationships in the code graph
  4. nodes-semantic-search: Semantic search for code functionalities
  5. docs-semantic-search: Semantic search through documentation
  6. get-usage-dependency-links: Deep dependency analysis for impact assessment

Configuration

The server uses environment variables for configuration:

  • CODEGPT_API_KEY (required): API key for CodeGPT service
  • CODEGPT_ORG_ID (optional): Organization ID
  • CODEGPT_GRAPH_ID (optional): Specific graph ID

Arguments can also be passed via command line in order: API_KEY, ORG_ID, GRAPH_ID.

Key Implementation Details

  • Uses @modelcontextprotocol/sdk for MCP protocol implementation
  • Implements dynamic schema generation based on environment variables
  • Includes extensive error handling and logging
  • TypeScript with ES2022 target and NodeNext modules
  • Communicates with CodeGPT API at https://api-mcp.codegpt.co/api/v1

Read the full file on GitHub · 63 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 63 lines · 482 tokens per session scan A 52a015f36771

Subscribe to this mod's changes

mcp-code-graph CLAUDE.md is an instructions file published in the GitHub repository diffbot/mcp-code-graph (402 stars, last pushed 9mo ago), licensed MIT. It adds 482 tokens to every session, about $0.0024 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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