Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables language models to manage and control SSH connections via a standardized interface.
Scales software development using controllable, recursive agent flows driven by OpenAI's Codex to build features from the ground up.
Monitors and analyzes potential security risks during the loading and execution of machine learning and artificial intelligence model files.
Maintains a curated list of Model Context Protocol (MCP) servers.
Enables AI assistants to securely interact with a local file system for reading, writing, and managing files within a designated project directory.
Dynamically routes coding tasks between local LLMs, free APIs, and paid APIs to optimize costs.
Indexes public code packages from various registries into Chroma collections for enhanced code search and retrieval.
Simplifies complex EVM blockchain interactions into composable, intent-based tools through a type-safe interface.
Provides a standardized interface for AI assistants to interact with the ClickUp API.
Provides enterprise-grade authentication management including secure credential storage, multi-protocol support, and real-time threat detection.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol (CDP).
Enhances Claude AI with real-time web search and premium content access.
Provides contextual information about a Netbird network to applications supporting the Model Context Protocol (MCP).
Integrates the Dify AI API to serve as a Model Context Protocol server.
Enables logical theorem proving and model verification for AI systems via a Model Context Protocol interface.
Integrates Sequential Thinking as a context server for the Zed editor's Assistant feature.
Provides a professional TypeScript-first platform for Claude Code, enabling multi-agent orchestration, advanced browser automation, and comprehensive documentation intelligence.
Sends ntfy notifications when AI assistant tasks are completed using the Model Context Protocol.
Provides an MCP server implementation for interacting with the Unstructured API, offering tools to manage data sources, destinations, and workflows.
Provides a standardized interface for managing Gmail services including email management, sending, and retrieval.
Enables non-technical users to edit images with GIMP through simple conversational commands and allows professionals to execute complex multi-step workflows faster.
Enables Language Learning Models (LLMs) to perform web searches using Google's Custom Search API through a standardized MCP interface.
Enables AI assistants to execute SQL queries against AWS Athena databases and retrieve results.
Enables secure execution of shell commands with dynamic approval and audit logging.
Enables Large Language Models to interact with and manage Planka Kanban boards via a simplified API.
Exports 1C:Enterprise platform context from help files into multiple formats for LLMs and offers an MCP server for AI assistant integration.
Enables Honeycomb Enterprise customers to query and analyze their observability data, alerts, dashboards, and cross-reference production behavior with codebase using LLMs.
Performs open-source intelligence (OSINT) tasks leveraging common network reconnaissance tools.
Enables AI clients to interact with Mailgun services using the Model Context Protocol.
Provides detailed information about AI language models to help developers choose the right one for their needs.
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