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codebase-memory-mcp

Connector Development Solid

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 155 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

2,452 starsMIT (commercial OK)FreeNo code needed

Reduces token spend and latency in AI-assisted code analysis by 99%, enabling teams to index large codebases once and query them efficiently without repeated full-codebase scans.

Engineering teams using Claude for code generation, refactoring, or documentation across multi-language repositories.

Claude Code Claude Cowork Claude Chat

https://github.com/DeusData/codebase-memory-mcp

By DeusData

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add codebase-memory-mcp -- npx -y codebase-memory-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars2,452Last updated2026-05-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Active

Discussed on Hacker News, Reddit

20 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 2,452 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 2,452 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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