Local-only Go static analysis engine with MCP server for AI coding agents.
gograph is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view ozgurcd/gograph --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
Strong trust signals; still review the README and permissions before production use.
Last commit was about 97 days ago.
163 GitHub stars indicate community interest.
0 open issues signal maintenance load.
Connect any AI model to 1200+ integrations (MCP, CLI, API)
Official Microsoft Learn MCP server and CLI tool providing real-time, trusted Microsoft docs and code samples to AI agents.
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.
Gograph builds a call graph of your Go code using static analysis. It gives AI agents tools to query symbols, call chains, and impact without reading raw files. It runs entirely locally and never executes your code.
Gograph is a static analysis tool for Go repositories that builds an AST-aware call graph and exposes over 50 query tools via CLI and MCP server. It enables AI coding agents to navigate packages, symbols, call chains, routes, SQL, environment variables, and tests without reading raw files. Key features include: token-saving composite commands (context, plan, explain), architecture enforcement (boundary rules, API drift detection, complexity gates), agent compliance auditing, and safe-by-design operation (no network, no code execution, no secrets read). It is benchmarked to reduce noise by up to 90% compared to grep-based workflows.
Local-only Go static analysis engine with MCP server for AI coding agents.
Go developers using AI coding assistants, Engineering teams enforcing code architecture, DevOps engineers integrating static analysis into CI
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Review repository permissions, executed commands, data sent to external services, and dependencies before use.
Similar or complementary options to evaluate include metorial, Microsoft Learn MCP Server, mcp-context-forge.
Aug 20, 2026
MIT license detected.
0 security/trust notes recorded.
Setup difficulty is 2/5.
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