Explore our complete collection of MCP servers to connect AI to your favorite tools.
Scans codebases for definitions, respecting .gitignore and outputting LLM-friendly formats.
Provides a cookiecutter template to quickly bootstrap a Python-based server.
Enables integration with the Azure DevOps REST API through an MCP server.
Enables Large Language Models (LLMs) to find Agoda hotel reviews.
Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
Delivers real-time analytics for MCP SDK servers, capturing request metrics, performance data, and usage patterns.
Automates web browser interactions through an API for tasks like navigation, data extraction, and authentication.
Retrieves RSS feeds and formats entries as text using an MCP server.
Analyzes code repositories, providing insights into structure, dependencies, and git history, with specialized tools for Nostr protocol and NDK projects.
Runs commands locally in an isolated environment using the Model Context Protocol.
Connects local Obsidian vaults stored in iCloud to AI via the Model Context Protocol (MCP).
Provides network incident response and analysis tools for security professionals via the Model Context Protocol.
Automate web browser interactions for AI assistants.
Generate various visualizations including charts, diagrams, barcodes, and QR codes using QuickChart.io APIs.
Enables AI assistants to make HTTP requests and download files directly from their environment through a Model Context Protocol server.
Provides secure and standardized access to Microsoft 365 services for AI platforms via the Model Context Protocol.
Provides a Node.js-based MCP server to integrate Bouyomi-chan for text-to-speech functionality.
Orchestrates AI coding agents to transform ideas into production-ready software through a systematic, specification-driven development methodology.
Provides a semantic layer for BigQuery datasets, enabling large language models to easily query and analyze structured data.
Streamlines LLM interactions through a token-efficient Domain Specific Language, dramatically reducing token usage.
Provides comprehensive control over Windows desktop applications, enabling AI agents to interact with the GUI, manage processes, and extract information.
Integrates Cumulocity IoT platform data with AI agents, enabling AI-powered device management, data analysis, and operational insights.
Enables AI agents to launch, inspect, and interact with Tkinter GUI applications without requiring modifications to the target app.
Manages and retrieves information locally for AI systems, facilitating memory and context management.
Operates a Rails-based Minesweeper Web/API game as a stdio MCP server for AI hosts.
Manages multiple isolated browser instances, supporting various engines including stealth configurations, for concurrent use by applications and AI agents.
Provides a local, persistent long-term memory engine for AI coding assistants using hierarchical compression.
Performs static security analysis of Android application source code to identify potential vulnerabilities.
Integrates AI assistants with BlackTwist accounts, enabling comprehensive management of social media content and analytics.
Empowers AI agents to act as penetration testers, autonomously identifying and suggesting fixes for application vulnerabilities.
Scroll for more results...