ferret-mcp vs graphify
Codebase analysis tools compared
ferret-mcp and graphify help developers and AI assistants understand codebases. ferret-mcp provides static analysis and optional LLM-powered reports and answers, while graphify builds a queryable graph of code and supporting project files.
ferret-mcp: Analyze Codebases Through MCP
Ferret MCP gives AI assistants static codebase analysis and optional LLM-powered reports about architecture, dependencies, patterns, and APIs. It suits developers exploring unfamiliar repositories, but its quiet, single-contributor project status is worth weighing before relying on it in a team workflow.
graphify: Turn Codebases into Queryable Knowledge Graphs
Graphify builds a queryable knowledge graph from code, documentation, schemas, and other project files. It helps developers and AI coding assistants explore relationships, trace paths, and understand codebases without relying on a vector store.
| ferret-mcp | graphify | |
|---|---|---|
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Stars | 0 | 124k |
| Forks | 0 | 11.9k |
| Last analyzed | Oct 9, 2026 | Oct 3, 2026 |
Key differences
- ferret-mcp reports on repository structure, dependencies, conventions, architecture, and interfaces; graphify represents entities and their relationships in a queryable knowledge graph.
- ferret-mcp offers static tools plus LLM-backed deep reports and repository questions; graphify parses code locally with tree-sitter and can use a model or backend for semantic extraction from documents and media.
- graphify supports graph queries, shortest-path tracing, and graph exports; ferret-mcp combines static findings into an extraction report and offers contextual question answering.
- ferret-mcp is MIT-licensed and specifies Python 3.12 or newer; graphify is Apache-2.0-licensed and requires Python 3.10 or newer.
- ferret-mcp lists 0 stars and 0 forks, while graphify lists 124k stars and 11.9k forks.
- ferret-mcp works with named MCP clients, while graphify is a CLI and skill for AI coding assistants that can also expose graph queries through MCP.
Choose ferret-mcp if you…
- need structured reports on architecture, dependencies, conventions, and interfaces.
- want static codebase analysis that can work without an LLM.
- need LLM-backed answers grounded in repository context through an MCP client.
Choose graphify if you…
- want to query relationships and trace paths between code concepts.
- need to include documentation, media, schemas, or configuration files in a project map.
- prefer local tree-sitter code extraction with graph outputs for exploration and reuse.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.