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"FastAPI" matching MCP servers:

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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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    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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    Apache 2.0
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    An enterprise-grade Model Context Protocol server for high-performance web analysis that discovers subpages, provides AI-based page summaries, and extracts structured content for RAG using FastMCP and FastAPI.
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    MIT
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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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    MIT
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    Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.
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    MIT
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    A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports.
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    MIT
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    A capability-first MCP server toolkit for FastAPI that supports Streamable HTTP and stdio transports, with registries for tools, prompts, and resources, plus optional auth hooks and task management.
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    MIT
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    Self-hosted MCP governance gateway that aggregates 150+ tools behind policy profiles (strict/balanced/dev) with a per-call audit trail. Python 3.12/FastAPI, Docker-deployable, built for regulated environments that need observability over agent tool calls.
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    MIT
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    A FastAPI-based application that implements the Model Context Protocol for lead prospecting, allowing users to retrieve business leads from different data sources like Mantiks through a clean architecture.
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    Apache 2.0
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    A FastAPI and fastmcp based Amap Navigation MCP tool that provides interactive map navigation with real-time route planning and WebSocket communication.
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    MIT
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    Enables secure VM lifecycle management on SCALE HyperCore clusters, including snapshot, clone, export, and state changes, through a Bearer-authenticated FastAPI proxy and MCP tools.
    Last updated