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  • A
    license
    A
    quality
    C
    maintenance
    Enables AI coding assistants to inspect FastAPI applications, routers, and Pydantic models, including generating TypeScript interfaces and Zod schemas and discovering backend routes without hallucination.
    6
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.
    9
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    SPARDA is a zero-configuration MCP builder that converts existing Express and FastAPI applications into fully functional Model Context Protocol servers. It automatically generates tools from routes, preserves API schemas, and accelerates MCP development from hours to minutes.
    8
    291
    8
    Business Source 1.1
  • F
    license
    B
    quality
    C
    maintenance
    Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.
    5
    1
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    Local-first, read-only MCP server for Claude Code that indexes and searches full-stack projects (FastAPI + React + PostgreSQL) with SQLite-backed FTS, cross-reference graph, and file-watcher auto-reload.
    3
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Analyzes API codebases from GitHub and Bitbucket repositories to generate Postman collections, business reports, and detailed code insights. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.
    MIT