Explore our complete collection of MCP servers to connect AI to your favorite tools.
Extracts and converts website content to Markdown format.
Manages persistent notes through a Model Context Protocol (MCP) server, built with the Python SDK.
Orchestrates data governance policies for LLM-based applications within the Model Context Protocol (MCP) ecosystem.
Connects QGIS to Claude AI, enabling prompt-assisted project creation, layer manipulation, and code execution through the Model Context Protocol (MCP).
Enables AI assistants to programmatically interact with WordPress sites through the WordPress REST API.
Connects Fastly's API to AI assistants through the Model Context Protocol, enabling AI-driven management of Fastly services.
Query European financial data through an API optimized for use with AI language models.
Exposes a Model Context Protocol (MCP) server for interacting with VictoriaMetrics.
Collects Go runtime profiling data via the Model Context Protocol (MCP).
Centralizes MCP Servers to ease discovery, listing, and installation.
Generates automated mind maps to facilitate studying, reviewing, comparing, and presenting various topics.
Interfaces with Typesense as a Model Context Protocol (MCP) Server.
Enables AI assistants to interact with Unity game environments through the Model Context Protocol.
Implements the MCP protocol server-side, facilitating AI integration within Unity projects.
Enables Claude to interact with Unity projects, providing tools for script creation, asset management, and project building.
Provides direct editing capabilities for Remotion-based web video editing platforms via an MCP server.
Generates high-quality chart images from ECharts configurations via a Model Context Protocol (MCP) server.
Provides a unified Multi-Component Protocol (MCP) server for managing all OAuth-enabled third-party integrations.
Establishes a Model Context Protocol (MCP) server for seamless integration with various development clients.
Enables large language models to fetch, process, and interact with web content using customizable HTTP requests.
Manages project backlogs using Markdown files in Git for frictionless collaboration between AI agents and developers.
Equips AI agents with instant, up-to-date access to official Apple developer documentation, design guidelines, and video content via Retrieval-Augmented Generation.
Empower AI agents to safely read, modify, and validate JSON, YAML, and TOML files with a token-efficient and schema-aware interface.
Integrates AI tooling with Microsoft SQL Server through an enterprise-grade Model Context Protocol server, offering 20 tools for comprehensive schema discovery, data operations, and administration.
Provides AI agents with expert-level, researched knowledge from official sources across numerous developer domains.
Enables AI assistants to directly interact with WordPress, allowing for content creation, user management, and site configuration through the Model Context Protocol.
Automate the interaction with B&R Automation Studio projects to build, simulate, and test through natural language.
Provides professional browser automation capabilities to Model Context Protocol (MCP) clients using structured web interaction.
Empowers AI agents with deep semantic understanding of codebases through AST processing, significantly reducing token usage and enhancing architectural comprehension.
Scores context engineering quality in Claude Code workspaces, providing a detailed health check across setup, usage, and AI fluency dimensions.
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