codebase-memory-mcp vs context7
Two of the top mcp servers for developers, side by side: score, setup, license, activity and what each review found.
codebase-memory-mcp
MCP server that indexes codebases into a queryable knowledge graph
context7
Fetches current, version-specific library docs into coding agent prompts
| What we compare | codebase-memory-mcp | context7 |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 47, known | 80, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 81, healthy | 99, healthy |
| Easy to run | 50, easy | 0, hard |
| Agent-ready | 0, none | 0, none |
| Facts from GitHub and the README | ||
| Stars | 46.3k | 62.9k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Sep 2026 | Oct 2026 |
| Language | C | TypeScript |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Not stated |
codebase-memory-mcp
A native C executable that parses repositories with tree-sitter (162 languages) into a persistent graph of functions, classes, call chains, HTTP routes and cross-service links, and exposes it through 17 MCP tools. It adds semantic search with bundled embeddings, Cypher-like queries, dead code detection, git diff impact mapping and a built-in 3D graph UI. Processing is local, and `install` configures detected coding-agent clients.
Who it is for: Developers giving coding agents structural code search over local repos
Strengths
- Runs locally with no API key, hosted service or language runtime
- Bundled embeddings enable semantic search without Ollama or Docker
- Covers 162 languages; Hybrid LSP type resolution for 10 of them
- Releases are VirusTotal-scanned and SLSA 3 attested
Weaknesses
- Updates require re-running the install script; `update` only prints the command
- Defender may flag release binaries as a false positive, per the README
- All active processes must share the exact same build and cache root
- Watcher covers only git projects opened in MCP sessions, by default
- no GPU
- Models: nomic-embed-code (bundled, int8, 768d)
- port 9749
context7
Context7 looks up documentation and code examples for a named library and version, then returns them to the coding agent as context. It runs as an MCP server with two tools (resolve-library-id, query-docs) or as a ctx7 CLI plus skill. Setup is one command, npx ctx7 setup, which handles OAuth and API key generation. The hosted service at mcp.context7.com does the retrieval.
Who it is for: Developers using AI coding agents who need current library docs
Strengths
- Two modes: MCP server, or ctx7 CLI with an installed skill
- Library IDs like /vercel/next.js skip matching; version can be named in the prompt
- npx ctx7 setup configures Cursor, Claude Code or opencode
- Also ships a TypeScript SDK and Vercel AI SDK tools
Weaknesses
- API backend, parsing and crawling engines are private; repo has only the MCP server
- Relies on the hosted service at mcp.context7.com; local run is a separate guide
- Free API key recommended for higher rate limits; exact limits unknown
- Docs are community-contributed; accuracy and security are not guaranteed
- no GPU
- Needs Node.js 18+, Context7 hosted API