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    Exposes FastAPI reference documentation as MCP tools, enabling LLMs to query FastAPI docs during development for accurate code generation.
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    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
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    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.
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    229 PyPI
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    MIT
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    Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.
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    3 npm
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    Apache 2.0
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    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.
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    102 npm
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    Business Source 1.1
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    A high-performance FastAPI backend for train ticket queries in China, supporting real-time ticket availability, station information, transfers, and train schedules through the Model Context Protocol for AI assistants and automation.
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    Provides deterministic debugging tools for FastAPI/Python projects, enabling structured failure reports, code quality checks, and context packing.
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    Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.
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    A unified MCP server for scaffolding project structures across multiple frameworks including Spring Boot, React, Vue, Next.js, FastAPI, Django, Flask, Express, and more.
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    MIT
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    A specialized toolchain that guides AI agents through a structured 'Atomic Development' workflow for building Python FastAPI and Supabase backends. It manages project scaffolding and enforces dependency-ordered generation of database models, API routes, and tests.
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    Enables AI clients to list, retrieve, create, update, and delete tracked issues through MCP tools that call an underlying FastAPI REST API over HTTP. Issue status and priority values are validated, and API or network failures surface as MCP tool errors.
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    Bridges to a simple_invoicing FastAPI backend, exposing invoice, product, ledger, inventory, buyer, and payment management as MCP tools for use with MCP-compatible clients.
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    A demonstration server that implements JSON-RPC 2.0 methods for basic arithmetic using FastAPI. It provides integration examples for the Model Context Protocol (MCP) using FastMCP to connect with Claude Desktop.
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