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MCP Fastify Server

Sample Model Context Protocol (MCP) Server

A simple demonstration MCP server built with FastMCP that provides basic functionality including an addition tool, dynamic greeting resources, and user greeting prompts over STDIO.

Model Context Protocol (MCP) server for Italian Electronic Invoicing (FatturaPA / SDI). Provide tools to validate, generate, and explore API specifications for Sistema di Interscambio (SDI) interoperability.

Enables AI assistants to collect interactive user feedback through a modern GUI that supports text input, multiple image uploads (via file selection or clipboard paste), allowing users to provide comprehensive feedback with screenshots and comments.

A minimal MCP server that enables HTTP requests with any method, headers, and body types, supporting large responses through chunked transfers with disk-backed caching.

Enables comprehensive file operations including reading, writing, searching, and editing files with advanced features like regex-based replacements, line-specific modifications, and directory-wide search capabilities. Provides 8 robust tools for safe file manipulation with content verification and detailed error handling.

Enables AI assistants to read and write non-UTF-8 files (e.g., GBK, GB18030) on Windows by automatically detecting and converting encodings, preventing garbled text.

A lightweight and modular framework for building MCP-based file management systems with standardized module structure, flexible configuration, and extensible functionality registration mechanisms.

A full-stack web application that allows users to upload, view, edit, and delete files and folders in a specified workspace, with protection for binary files.

Enables secure file management operations within a documents folder, including reading, writing, listing, deleting files and creating directories. Supports all file types with path validation to prevent access outside the designated documents directory.

A local AI-powered file reader that connects a Python MCP server with Ollama's Mistral model for offline file summarization. It provides secure file discovery and reading capabilities without requiring API keys or cloud services.

Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.

Provides a secure, constrained filesystem workspace for LLM agents to manage files, notes, and code artifacts via stdio or remote HTTP. It features granular access controls, including extension whitelisting, storage quotas, and immutable paths for safe automated file operations.

Provides file system operations (list, read, write, search) via MCP, enabling an AI agent to manage files through natural language.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.

Provides access to the Finnish company registry (PRH/YTJ) to search for businesses and retrieve detailed information using Business IDs. It enables users to perform industry-specific searches and track recent company registrations through official government open data.

MCP Flowcore Platform

MCP server for managing and interacting with Flowcore Platform

A server that handles messaging or commands over a custom protocol

Provides text-to-image generation capabilities through the Fooocus Stable Diffusion API with intelligent style selection from 300+ options, multiple performance modes, and configurable aspect ratios.