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Enables LLMs to securely read, search, and analyze local file systems through the Model Context Protocol. Provides tools for listing files, pattern-based searching, and reading file contents with built-in security validation.

A mock MCP server that exposes protein structure prediction tools (submit, status, results) for integration with Gemini Enterprise, demonstrating the bring-your-own-MCP capability.

MCP server for Follow Up Boss CRM with 157 tools covering 100% of the official API. Manage contacts, deals, pipeline, tasks, emails, smart lists, action plans, webhooks, and more through natural language.

Provides access to Turkish investment fund data (TEFAS) via Claude, enabling queries about fund prices, performance, and comparisons.

Enables AI agents to diagnose, modify, and validate OTF/TTF fonts interactively through a set of read-only, write, and validation tools.

An MCP server and app that enables users to browse restaurants, view menus, manage shopping carts, and place food orders with live status tracking. It serves as a reference implementation for MCP Apps SDK patterns like tool visibility, lifecycle hooks, and structured content.

Enables AI agents to search the USDA's FoodData Central database and retrieve detailed nutritional information and ingredient lists. It supports comprehensive food data access through keyword searches and structured queries for specific food items.

Enables menu browsing, recommendation requests, and shopping cart management through a Model Context Protocol interface. Users can interact with food order services to query items and handle order additions or removals via natural language.

A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.

Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.

MCP server integrating Foodvisor nutrition API for food search, meal logging, daily summaries, and progress tracking via LLM agents like Claude.

Provides live optimization analysis and health checks for Microsoft Fabric items including Lakehouses, Warehouses, Eventhouses, and Semantic Models. It enables users to detect performance bottlenecks, data quality issues, and security vulnerabilities using over 100 automated rules.

Enables storing and retrieving weather forecasts with text and audio in Google Cloud SQL PostgreSQL, supporting full internationalization, TTL-based caching, and automatic expiration management.

Enables access to ForexFactory economic calendar data through MCP resources and tools. Supports retrieving economic events by time periods for integration with trading assistants and agentic workflows.

Enables LLMs to retrieve, analyze, and visualize stock prices and financial report data for quantitative trading research and investment analysis. Provides real-time and historical stock data, financial statement analysis, key metric calculations, and trading signal visualization.

a claude code harness engineering tool

Enables AI agents to fully control the Forge Engine (Godot fork) by manipulating scene trees, modifying node properties, and managing game scripts. It allows agents to perform development tasks such as running projects, capturing screenshots, and executing GDScript through a WebSocket connection.

Terminal MCP server for AI coding agents with persistent PTY sessions, ring-buffer incremental reads, headless xterm screen capture, multi-agent orchestration, and a real-time web dashboard.

Integrates with the Laravel Forge API to provide comprehensive management of servers and sites. It enables users to perform health checks, monitor logs, create resources, and execute deployment tasks through MCP-compliant tools.

Forgespec MCP facilitates Spec-Driven Development (SDD) by providing tools for contract validation, task board management, and advisory file locking. It enables multi-agent AI systems to coordinate complex workflows through a structured nine-phase development pipeline with built-in dependency tracking.