Explore our complete collection of MCP servers to connect AI to your favorite tools.
Fetch costs and usage data from a Vantage account using natural language queries.
Automates end-to-end testing for code generation platforms using AI-managed browsers.
Exposes system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information.
Enables interaction with on-chain data via the Bankless API using the Model Context Protocol.
Generates a structured map of a codebase within a Git repository to aid understanding and navigation, particularly for large language models.
Automates interactions with WordPress sites using the WordPress REST API and JSON-RPC 2.0 protocol.
Enables AI agents and assistants to interact with VS Code through the Model Context Protocol.
Loads and serves multiple OpenAPI specifications, enabling LLM-powered IDE integrations for API development.
Enhances code quality by providing AI coding assistants with structured, prompt-based analysis for identifying and addressing common issues.
Enables AI applications to access the Lara Translate API for seamless and high-quality translations.
Integrates CircleCI with the Model Context Protocol to enable natural language interactions for development workflows.
Enables management of GitHub Projects programmatically through the Model Context Protocol (MCP) interface.
Enables running multiple isolated instances of MCP servers with unique configurations and namespaces.
Connects to a Tinybird Workspace and interacts with data sources and API endpoints using the Model Context Protocol.
Enables AI models to execute terminal commands on a host machine and retrieve the output.
Enables AI models to interact with and monitor JVM-based applications through a standardized Model Context Protocol (MCP) server implementation.
Discovers and documents MCP Server capabilities using a command-line interface.
Facilitates the creation of structured documentation systems for AI assistants, enabling context preservation using the Memory Bank pattern.
Empowers Claude AI to access, search, and learn from its past conversation history, offering detailed insights into prior projects and solutions.
Simplifies the installation and configuration of Model Context Protocol (MCP) servers within the Cursor IDE.
Enables LLMs to interact with on-disk documents through agentic RAG and hybrid search powered by LanceDB.
Enables interaction with WooCommerce stores through the WordPress REST API using JSON-RPC 2.0.
Integrates Ollama's local large language models into Model Context Protocol-powered applications.
Provides AI assistants with curated access to latest development documentation and best practices.
Connects to Google Cloud services to provide context and tools for interacting with resources.
Creates intelligent graph representations of codebases with comprehensive semantic analysis capabilities.
Provides a comprehensive developer portal to extend and integrate with Anytype's unique offline-first knowledge management system.
Integrates Google Search functionality into Model Context Protocol (MCP) environments utilizing Gemini's built-in search capabilities.
Enhances AI assistants with persistent conversation context, project history, and code relationships across sessions.
Enables large language models to interact with and manage Heroku Platform resources.
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