Code Analyze MCP server
MCP server for code structure analysis using tree-sitter.
6 stars
Reviews
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Code Analyze MCP tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 1 days ago15/15
- Maintainer identityregistry namespace matches repository owner7/10
How Code Analyze MCP compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 70% of 48,255 servers
- GitHub stars
- 6
- more than 85% of 28,688 servers
Install Code Analyze MCP in Claude Code, Cursor or VS Code
The registry entry has no remote endpoint or installable package.
What the publisher says
From the Code Analyze MCP repository's README, as published. We do not edit it. Read it on GitHub
aptu-coder
A Model Context Protocol (MCP) code-intelligence server that gives AI coding agents pre-parsed symbol tables and call graphs instead of raw file bytes, cutting token usage by up to 59% (see Benchmarks). OpenSSF silver certified: fewer than 1% of open source projects reach this level.
<!-- mcp-name: io.github.clouatre-labs/aptu-coder -->
[!NOTE]
Native agent tools (regex search, path matching, file reading) handle targeted lookups well. aptu-coder handles the mechanical, non-AI work: mapping directory structure, extracting symbols, and tracing call graphs, so a coding agent's context window is spent reasoning instead of re-deriving structure on every call.
Most code-intelligence tooling for AI agents indexes a codebase into a cloud embedding or vector store and retrieves by similarity search. aptu-coder instead parses the codebase into a structural graph on-device with tree-sitter and serves it locally over MCP: no source code leaves the machine, and retrieval is exact (symbol tables and call graphs) rather than approximate (nearest-neighbor similarity).
Benchmarks
Auth migration task on Claude Code against Django (Python) source tree. Full methodology.
AeroDyn integration audit task on Claude Code against OpenFAST (Fortran) source tree. Full methodology.
A real end-to-end multi-agent run against this repository itself: five refactoring issues (#1578–#1582) fixed by the coder skill in one orchestrated session — 23 subagent spawns (5 scout, 1 guard, 10 build, 7 check), ~1h42m, three human interventions — producing PRs #1584–#1588, all merged with CI green. Case study.
Overview
aptu-coder is a comprehension layer for coding agents: it gives an agent harness precise structural context about a codebase, directory trees, symbol definitions, and call graphs, without the agent reading raw files or re-deriving structure on every call. That prevents context starvation on large or unfamiliar codebases while keeping the result set small enough to fit the model's context window. It supports 18 languages (see Supported Languages) and integrates with any MCP-compatible orchestrator.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Code Analyze MCP: common questions
- Is Code Analyze MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Code Analyze MCP safety report
- Does Code Analyze MCP need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Code Analyze MCP maintained?
- The last commit was 38 days ago (2026-09-27). The latest release is v0.6.0.
- How does Code Analyze MCP compare with other MCP servers?
- safety score 85/100 (higher than 70% of 48,255 servers); github stars 6 (more than 85% of 28,688 servers). Full comparison.