Browse All MCP Servers
Explore our complete collection of MCP servers to connect AI to your favorite tools.
Pentest
Integrates essential penetration testing tools into a unified natural language interface for security professionals.
Demo Mcp On Amazon Bedrock
Demonstrates how to enhance ChatBot applications using Amazon Bedrock with the Model Context Protocol (MCP) to enable seamless integration with external systems and data sources.
Memory
Enables MCP clients to remember information about users across conversations, leveraging vector search for relevant memory retrieval.
TeslaMate
Serves Tesla vehicle data and analytics from a TeslaMate database to AI assistants via the Model Context Protocol.
iPhone
Automates iPhone tasks, including app control, UI interactions, and screenshot capture, via a streamable HTTP server using Appium.
Local Web Search
Enables local web searching functionality within the ChatWise application.
Web Scout
Integrates web search and content extraction capabilities into an MCP environment.
NetBox
Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).
Google Sheets
Enables AI agents to directly interact with and manipulate Google Sheets spreadsheets.
Oura
Provides access to the Oura API, enabling language models to query sleep, readiness, and resilience data.
Txtai.rs
Provides Rust bindings for the txtai API, enabling semantic search, LLM orchestration, and language model workflows within Rust applications.
Cli
Provides fine-grained control over Model Context Protocol (MCP) clients, servers, and tools.
Raindrop
Enables AI agents to access and manage Raindrop.io bookmarks through the Model Context Protocol (MCP).
HubSpot
Enables AI assistants to interact with HubSpot CRM data, leveraging vector storage and caching for improved performance.
Google News
Enables Google News searches with automatic categorization and multi-language support via SerpAPI within Model Context Protocol environments.
Xtquantai
Integrates AI assistants with the xtquant quantitative trading platform via the Model Context Protocol (MCP), providing AI access to trading data and functionalities.
Swagger
Serves Swagger/OpenAPI specifications through the Model Context Protocol.
Xcode Project
Manipulates Xcode project files programmatically using the Model Context Protocol.
Wxflows
Provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine.
Polymarket
Provides access to prediction market data through the PolyMarket API.
SwiftLens
Provides deep, semantic-level analysis of Swift codebases to AI models with compiler-grade accuracy, leveraging Apple's SourceKit-LSP.
FFmpeg
Enables local video searching, tailoring, stitching, and playback using FFmpeg command-line via a convenient interface.
Remote Functions
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
Portainer
Exposes Portainer environment data through the Model Context Protocol (MCP), enabling AI assistants to interact with containerized infrastructure.
Computer Control
Automates computer interactions, providing control over mouse, keyboard, and screen via OCR.
Crypto Indicators
Provides cryptocurrency technical analysis indicators and strategies for AI trading agents.
MCP2Lambda
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Anki
Integrates Anki with AI assistants, enabling natural language interaction for enhanced spaced repetition learning.
Notion
Provides a standardized interface for interacting with Notion's API as a Model Context Protocol (MCP) server.
Hevy
Enables AI assistants to access and manage workout data, routines, and exercise templates from the Hevy fitness tracking app via its API.
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