"Flask" matching MCP servers:

Flask Extension for apcore (AI-Perceivable Core) integration. Expose your Flask routes as MCP tools with auto-discovery, Pydantic schema inference, and built-in observability.

Provides a collection of MCP servers for computational chemistry tasks including molecular generation and retrosynthesis. Also offers property prediction and molecule pricing capabilities.

Flask-based Model Context Protocol (MCP) server for Python. Drop it into any Flask app or run it standalone.

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.

MCP server to control a Flask application and optimize AWS costs, providing tools for app management, AWS resource checking, and cost analysis via Claude.

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.

Launches HexStrike AI with an ngrok HTTPS tunnel, starting a Flask API and MCP bridge for remote interaction.

A Model Context Protocol server that wraps the free GLM-4.6V-Flash vision model, enabling text-only LLM clients like Codex, Cursor, and Claude Desktop to analyze images, videos, and files (PDF/TXT) through standard MCP tools.

Enables text-to-image generation, image editing, and multi-image composition using Google's Gemini 2.5 Flash Image API. Supports flexible aspect ratios and character consistency across generations.

Enables MCP-compatible IDEs to generate images and videos using Agnes 2.5 flash models through natural language prompts, with tools for image generation, asynchronous video creation, and video polling.

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.

Manual listener MCP server that bridges OpenCode with local security tools via a Flask HTTP service, enabling AI-assisted security operations.

Automatically converts Python web backends (FastAPI, Flask, Django) into MCP servers by exposing API routes as MCP tools with near-zero boilerplate.

A lightweight Flask-based server that enables Claude AI to perform real-time web searches via DuckDuckGo during conversations, allowing the AI to access current information.

Exposes video generation and editing tools to MCP-capable clients, enabling text-to-video, image-to-video, video editing, reusable voice and character profiles, and task status queries through natural language.

Give your AI coding assistant live visibility into the user's browser. Claude sees the actual DOM, console errors, and network timing instead of guessing from screenshots. Drop-in middleware for FastAPI + Flask.

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.

A dockerized Python MCP server that manages flash card projects using OpenAI embeddings and SQLite, enabling semantic search and storage of flash cards across projects.

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.

A Flask-based chatbot using Gemini 2.5 Flash and MCP tools to manage GitHub repositories and LinkedIn profiles via natural language.