Simulate code reviews from expert personas using AI and a knowledge graph.
Simulate code reviews from expert personas using AI and a knowledge graph.
A Python-based code review system using the Model Context Protocol (MCP). It provides code review capabilities through simulated expert personas like Martin Fowler and Robert C. Martin (Uncle Bob).
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| ask_martin | Ask Martin Fowler to review code and suggest refactorings |
| ask_bob | Ask Robert C. Martin (Uncle Bob) to review code based on Clean Code principles |
| read_graph | Read the entire knowledge graph |
| search_nodes | Search for nodes in the knowledge graph |
| open_nodes | Open specific nodes by their names |
| Variable | Description | Required |
|---|---|---|
| KNOWLEDGE_GRAPH_PATH | Filesystem location the server is allowed to use. | Optional |
| OLLAMA_HOST | Endpoint or connection string the server talks to. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
[!CAUTION] Deprecated This project is deprecated. No further updates, bug fixes, or security patches will be published. Please use the Recraft remote MCP server instead, available at…
Approved acceptance criteria served over MCP to Claude Code, Cursor, or Codex. Git-only, sealed.
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Casting objects from seed data.