Explore our complete collection of MCP servers to connect AI to your favorite tools.
Connects Claude Desktop to read and search your Obsidian vault's Markdown notes.
Connects to a Kubernetes cluster and enables management via commands.
Connects language models to a Qdrant vector database for storing and retrieving information.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Enables AI assistants to interact with the Unity Editor for game development workflows.
Provides semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
Integrates Tavily's search and data extraction capabilities with AI assistants via the Model Context Protocol.
Enables Large Language Models to interact with Excalidraw diagrams and drawings through a structured API.
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Enables interaction with Text to Speech and audio processing APIs for MCP clients.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Connects Slack workspaces to Model Context Protocol (MCP) for enhanced integration with AI models.
Integrates JADX decompiler with Model Context Protocol (MCP) for AI-powered static code analysis and real-time reverse engineering.
Provides a user interface for Nx and Lerna monorepos, enhancing developer workflow and AI integration within code editors.
Simplifies the development, running, evaluation, and orchestration of LLM-based agents using YAML and a CLI.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Fetches and converts Deepwiki content to Markdown for use in code editors and other MCP-compatible clients.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Demonstrates security vulnerabilities in Model Context Protocol (MCP) implementations for educational purposes.
Enables advanced automation and interaction capabilities for Infrastructure as Code (IaC) development through integration with Terraform Registry APIs.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Automates AI-powered workflows directly within your codebase.
Enables AI assistants to access and search official Microsoft documentation in real-time.
Integrates Azure DevOps capabilities directly into development environments by providing a local server that enables interaction with various services.
Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.
Enhance LaTeX academic papers with an AI-powered writing assistant offering intelligent suggestions and seamless Overleaf integration.
Autonomously evaluates web applications by deploying a browser-driving agent directly from your code editor.
Transforms large codebases into a searchable, hierarchical feature graph by combining AST parsing, spectral clustering, and Obsidian-style linking.
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