MCP.Market

AI Architect Codebase MCP server

by cdeust·io.github.cdeust/ai-architect-mcp-codebase·v0.14.0·7 stars

Codebase intelligence MCP — index any repo into a property graph; 26 tools for agents.

A88/100grade A
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Safety scan
A88/100

full report

Adoption
Growing

7 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

AI Architect Codebase tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

no findings
  • –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 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AI Architect Codebase compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 75% of 48,255 servers
GitHub stars
7
more than 86% of 28,688 servers

Release history: 4 versions in the registry since 2026-08-14, latest 2026-09-26, typically one every 2 days.

Install AI Architect Codebase in Claude Code, Cursor or VS Code

The registry entry has no remote endpoint or installable package.

What the publisher says

From the AI Architect Codebase repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.cdeust/ai-architect-mcp-codebase -->

Stop your coding agent from guessing at your codebase. It answers who calls this, what breaks if I change it, and how does execution get here from a real graph of your code — not from grepping and hoping. Runs entirely on your machine. Read-only: it never writes code, opens PRs, or runs CI.

What An Agent Can Ask · Getting Started · Pipeline · Tools · Architecture · Zetetic Standard

One of three MCP servers that each run standalone and keep evolving — memory, code graph (this), spec verification — plus visualization and reasoning-agent companions. How they fit together ↓

Every AI coding assistant hits the same wall: you ask it to change handletoolcall, and it either hallucinates a function that was renamed last week, edits something in the wrong community of the codebase, or silently breaks a call chain three modules away. Agents operate on strings; codebases have structure. The gap is where bugs live.

This server gives it the structure. It parses your repository into a real graph of symbols and their relationships, then answers structural questions directly — with source links, and with its own limitations stated alongside the answer.

What you get

  • Real answers about your code. Who calls this function, what breaks if I change it, how does execution reach here, what belongs together — resolved across files, not guessed from text matches.
  • Your agent stops re-reading files. One graph query replaces the open-five-files-and-scroll loop. On our offline evaluation that is 14.26× fewer payload tokens and 5.20× fewer tool calls than a Grep/Glob/Read baseline (protocol, caveats and what it does not prove ↓).
  • 11 languages. Rust, Python, TypeScript, Java, Kotlin, Swift, Objective-C, C, C++, Go get full extraction; Ruby gets a shallow pass (node kinds, no deep extraction).
  • Read-only by design. It supplies evidence for the next stage — a fix, a PRD, a review. It never edits your code.
  • It says what it cannot see. Every answer carries its analysis limitations, so you can tell a real "no callers" from an unresolved import.

Sovereign intelligence, eco-responsible by intent

Sovereign is what it is today. Native Rust and tree-sitter parse your code on your machine — no model is called to read it, and nothing is uploaded. The graph is a local database file you own.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

AI Architect Codebase: common questions

Is AI Architect Codebase MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the AI Architect Codebase safety report
Does AI Architect Codebase need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AI Architect Codebase maintained?
The last commit was in the last day (2026-11-03). The latest release is v0.14.0.
What can I use instead of AI Architect Codebase?
Servers from other publishers that do the same job: Codebase Memory MCP server.
How does AI Architect Codebase compare with other MCP servers?
safety score 88/100 (higher than 75% of 48,255 servers); github stars 7 (more than 86% of 28,688 servers). Full comparison.

Alternatives to AI Architect Codebase

Same job from other publishers: the closest match first, then the best rated.

  • Codebase Memory
    Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
    C

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