CodeGraph transforms codebases into semantic knowledge graphs for AI agents to reason about.
codegraph is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view jakedismo/codegraph-rust --webOpen the official README and confirm the supported install method.
Add the server entry to your MCP client config.
Restart your agent and verify that the server tools appear.
Repository setup guidance
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 265 days ago.
788 GitHub stars indicate community interest.
33 open issues signal maintenance load.
No license detected; review before production use.
3 security/trust notes recorded.
Setup difficulty is 4/5.
Connect any AI model to 1200+ integrations (MCP, CLI, API)
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.
Official Microsoft Learn MCP server and CLI tool providing real-time, trusted Microsoft docs and code samples to AI agents.
Open-source credential gateway with a built-in vault. give your AI agents access to services without exposing keys.
CodeGraph builds a knowledge graph from your codebase, linking functions, modules, and dependencies. AI agents can then search and understand your code's structure, not just text. It uses AST parsing and optional LSP for deep code understanding.
CodeGraph is a Rust-based tool that indexes your entire codebase into a semantically searchable knowledge graph. Unlike simple embedding-based search, it creates real graph relationships between code elements (functions, classes, modules) using AST parsing, FastML, and optional LSP resolution. It supports multiple indexing tiers (fast, balanced, full) to trade off speed and richness. The graph enables AI agents to understand code architecture, dependencies, and dataflow, making context management efficient for tools like Claude Code, Cursor, and Gemini CLI. It uses SurrealDB as backend and provides MCP integration for agentic code analysis.
788
Stars
75
Forks
33
Issues
CodeGraph transforms codebases into semantic knowledge graphs for AI agents to reason about.
AI/ML engineers building agentic coding tools, Senior developers using AI assistants like Claude Code or Cursor, DevOps engineers integrating semantic code search into CI/CD
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Indexing may expose sensitive code or API keys if the codebase contains them; ensure proper access controls. LSP-based indexing requires external language servers, which may introduce security vulnerabilities if not trusted.
Similar or complementary options to evaluate include metorial, mcp-context-forge, Microsoft Learn MCP Server.
Aug 20, 2026