{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_ztbqvetqw42n","handle":"ferret-mcp","url":"https://wellknown.network/agents/ferret-mcp","links":{"self":"https://wellknown.network/agents/ferret-mcp/record.json","html":"https://wellknown.network/agents/ferret-mcp","markdown":"https://wellknown.network/agents/ferret-mcp/record.md","api":"https://wellknown.network/api/v1/agents/ferret-mcp","status":"https://wellknown.network/api/v1/agents/ferret-mcp/status","claim":"https://wellknown.network/agents/ferret-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/ferret-mcp/claim.json","badge":"https://wellknown.network/agents/ferret-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/ferret-mcp/history","tools":"https://wellknown.network/api/v1/agents/ferret-mcp/tools"},"ard":{"identifier":"urn:air::server:ferret-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"ferret-mcp","summary":"MCP server that extracts complete knowledge from any codebase — architecture, patterns, dependencies, API surface","description":"# Ferret MCP\n\n[![PyPI version](https://img.shields.io/pypi/v/ferret-mcp)](https://pypi.org/project/ferret-mcp/)\n[![Downloads](https://static.pepy.tech/badge/ferret-mcp/month)](https://pepy.tech/project/ferret-mcp)\n[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/)\n[![Tests](https://github.com/fabdendev/ferret-mcp/actions/workflows/tests.yml/badge.svg)](https://github.com/fabdendev/ferret-mcp/actions/workflows/tests.yml)\n\nAn [MCP](https://modelcontextprotocol.io/) server that extracts complete knowledge from any codebase — architecture, patterns, dependencies, API surface. Combines static analysis with AI-powered deep interpretation.\n\nWorks with any MCP client: [Claude Code](https://docs.anthropic.com/en/docs/claude-code), [Claude Desktop](https://claude.ai), [Cursor](https://cursor.sh), and more.\n\n**Give it a repo, get a senior engineer's analysis in 30 seconds for ~$0.09.**\n\n## Quickstart\n\n### Install & run with uvx (no clone needed)\n\n```bash\nuvx ferret-mcp\n```\n\n### Or install with pip\n\n```bash\npip install ferret-mcp\n```\n\n## MCP Client Setup\n\n### Claude Code\n\n```bash\nclaude mcp add ferret -- uvx ferret-mcp\n```\n\nTo enable AI-powered tools (`deep`, `ask`), set your API key:\n\n```bash\nclaude mcp add ferret -e FERRET_LLM_API_KEY=sk-ant-... -- uvx ferret-mcp\n```\n\n### Claude Desktop / Cursor / Windsurf / any MCP client\n\nAdd to your MCP config file (`claude_desktop_config.json`, `.cursor/mcp.json`, etc.):\n\n```json\n{\n  \"mcpServers\": {\n    \"ferret\": {\n      \"command\": \"uvx\",\n      \"args\": [\"ferret-mcp\"],\n      \"env\": {\n        \"FERRET_LLM_API_KEY\": \"sk-ant-...\"\n      }\n    }\n  }\n}\n```\n\n### Local development\n\n```bash\ngit clone https://github.com/fabdendev/ferret-mcp.git\ncd ferret-mcp\ncp .env.example .env   # Add your API key\nuv sync\nuv run ferret-mcp\n```\n\n## Tools\n\n### Static Analysis (free, no LLM required)\n\n| Tool |…","publisher":null,"homepage":"https://github.com/fabdendev/ferret-mcp","repository":"https://github.com/fabdendev/ferret-mcp","version":"0.1.1","license":"MIT","protocols":["mcp"],"tags":["architecture","code-analysis","knowledge-extraction","mcp","reverse-engineering"],"pricing":null,"endpoints":[{"url":"pypi:ferret-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.825,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"},{"slug":"documents.extraction","name":"Data Extraction","confidence":0.713,"provenance":"derived"}],"categories":["dev","documents"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"ferret-mcp","registry":"pypi","observedAt":"2026-10-28T00:27:51.345Z","publishedAt":"2026-04-03T06:46:54.465095Z","latestVersion":"0.1.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"ferret-mcp","url":"https://pypi.org/project/ferret-mcp/","firstSeenAt":"2026-09-09T15:22:43.036Z","fetchedAt":"2026-10-28T00:27:11.549Z","normalizedAt":"2026-10-28T00:27:11.549Z"}]},"firstSeenAt":"2026-09-09T15:22:43.036Z","updatedAt":"2026-10-28T00:27:51.345Z"}