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"Flask" matching MCP servers:

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    Flask-based Model Context Protocol (MCP) server for Python. Drop it into any Flask app or run it standalone.
    7
    MIT
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    Flask-MCP-Plus enables developers to create MCP servers using Flask, with support for defining tools, resources, and prompts with automatic schema generation and type safety.
    9
    Apache 2.0
  • F
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    A Flask-based reference implementation demonstrating how to build an MCP server with stateless HTTP transport, including example tools for generating random numbers and sentences.
  • A
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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.
    2
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    MIT
  • A
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    Automatically converts Python web backends (FastAPI, Flask, Django) into MCP servers by exposing API routes as MCP tools with near-zero boilerplate.
    MIT
  • F
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    Flask-based server that exposes callable tools via HTTP endpoints for AI agents like Gemini CLI, enabling agent orchestration, tool introspection, and workflow automation with a centralized tool registry.
  • F
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    A Python Flask-based Model Context Protocol server that provides basic tools including hello_world, calculate, and get_time functions through stable HTTP endpoints.
  • F
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    A demo MCP server that proxies a Flask REST API for books, providing tools to list books, get book details, list genres, and check API health via HTTP transport.
  • F
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    A Flask-based web application that provides a simple task management system with basic CRUD operations for managing tasks through a responsive Bootstrap interface.
  • F
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    A Flask-based MCP server with web GUI that provides utility tools for mathematical calculations, text analysis, string transformations, timestamps, and Fibonacci sequence generation.
  • A
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    A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.
    16
    Apache 2.0
  • A
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    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
  • F
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    Provides shared MCP-server machinery for Flask apps, including streamable HTTP transport, token-based auth, caller identity resolution, tool registry with permissions, and audit logging, enabling developers to build consistent and secure MCP servers.
  • F
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    Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.