Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1084 servers
A Deno monorepo containing packages for macOS Calendar access: - @wyattjoh/calendar - Core library for read-only macOS Calendar database access - @wyattjoh/calendar-mcp - Model Context Protocol (MCP) server for LLM integration - Search calendar events by title/summary - Get recent past events - Get upcoming events - Retrieve events within date ranges - Get today's events with conflict detection -
An MCP (Model Context Protocol) server providing comprehensive email capabilities via IMAP and SMTP. Enables AI assistants to read, search, send, manage, schedule, and analyze emails across multiple accounts. Exposes 47 tools, 7 prompts, and 6 resources over the MCP protocol with OAuth2 support (experimental), email scheduling, calendar extraction, analytics, provider-aware label management, real-
A Model Control Protocol (MCP) server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation. - High-quality image generation from text descriptions using Amazon's Nova Canvas model - Advanced control through negative prompts to refine image composition - Flexible configuration options for image dimensions and quality - Deterministic image generation with seed control - Ro
A Model Context Protocol server for Ashra. Install dependencies: Build the project: Download the latest version of Claude. Add to or create the following file claudedesktopconfig.json in cd ~/Library/Application\ Support/Claude: Consult the MCP server documentation for more information.
A powerful Go-based MCP server that enables seamless integration between AI assistants (like Claude Desktop, Cursor) and Kanboard project management system. Manage your Kanboard projects, tasks, users, and workflows directly through natural language commands. ⚠️ Warning: To avoid issues like these: We recommend using mcpproxy as a proxy solution. - ✨ Features - 🚀 Quick Start - ⚙️ Configuration -
Model Context Protocol server for YDB. It allows to work with YDB databases from any LLM that supports MCP. This integration enables AI-powered database operations and natural language interactions with your YDB instances. uvx, which is an allias for uv run tool, allows you to run various python applications without explicitly installing them. Below are examples of how to configure YDB MCP using u
A Model Context Protocol (MCP) server that enables AI models to interact with Nostr, allowing them to post notes and interact with the freedom of speech protocol. Censorship resistance matters, even for LLMs. BTW, you should join Nostr now! - 📝 Post notes to Nostr network - 🔌 Connect to multiple relays - 🤖 MCP-compliant API for AI integration - 💸 Send Lightning zaps to Nostr users (WIP) - 📡 S
A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management. - Support for ESXi and vCenter Server connections - Real-time communication based on SSE (Server-Sent Events) - RESTful API interface with JSON-RPC support - API key authentication - Complete virtual machine lifecycle management - Real-time performance
A Model Context Protocol (MCP) server that enables AI agents to interact with Alchemy's blockchain APIs in a structured way. This allows agents to query blockchain data directly without writing any code. This MCP server creates a bridge between AI agents and Alchemy's blockchain APIs, allowing agents to: - Query token prices and price history (including flexible time frame queries) - Get NFT owner
An MCP (Model Context Protocol) server that enables AI assistants to interact with TheBrain's knowledge management system. This server provides comprehensive access to TheBrain's API, focusing on natural language interaction with TheBrain's powerful knowledge management capabilities. MCP (Model Context Protocol) is a standard that lets AI assistants like Claude connect to external tools and servic
An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members. - Start thread in channel with title and contents, mentioning users - Update existing threads with message replies, mentioning users - Read thread replies - List channel team members - Read channel messages - uv package
There is a notable gap in the current AI Agent ecosystem: - Most MCP Servers are simple wrappers around Web APIs - Functionality interfaces may not be complete, depending on developer implementation - Manual creation of MCP interfaces is time-consuming and error-prone - Lack of standardized conversion processes MCP Link solves these issues through automation and standardization, allowing any API t
The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more. 1. Create a Quickchat AI account and start a 7-day trial of any plan. 2. Set up your AI's Knowledge Base, capabilities and settings. 3. Go to the MCP page to activate your MCP. Give it Name, Description
This project implements a Model Context Protocol (MCP) Server that wraps Cisco pyATS and Genie functionality. It enables structured, model-driven interaction with network devices over STDIO using the JSON-RPC 2.0 protocol. 🚨 This server does not use HTTP or SSE. All communication is done via STDIN/STDOUT (standard input/output), making it ideal for secure, embedded, containerized, or LangGraph-ba
An MCP server that exposes PraisonAI AI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients. - 🤖 AI Agents as Tools - Run PraisonAI agents directly from MCP - 🔄 Workflow Orchestration - Multi-step agent workflows - 🛠️ 64 Built-in Tools - Complete coverage of all PraisonAI features - ⚡ Easy Setup - Works with uvx or pip install The core tools for runnin
A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments. - Simple integration with Model Context Protocol framework - Support for headless and UI modes - Configurable test parameters (users, spawn rate, runtime) - Easy-to-use API for running Locust load
A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools. The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools. - Dev Mode (default): Safe CI/CD operations (31 tools
Slack MCP Server Give Claude the same Slack access you have. DMs, threads, history—no admin approval. I built this because I was working with someone to help me manage a complex workload, and we kept hitting walls. They needed context from my messages—"what did X say about Y?"—but Slack's API blocks access to DMs without admin approval. Screenshotting messages is not a workflow. This server bridge
A lightweight Node MCP server around the kagi-ken package, providing access to Kagi.com services using Kagi session tokens: - Search: Searches Kagi - Summarizer: Uses Kagi's Summarizer to create summaries from URLs or text content Unlike the official Kagi API which requires API access, this MCP server uses your existing Kagi session to access both search and summarization features. "Kagi-ken" is a
A Model Context Protocol (MCP) server that provides timezone-aware date and time operations. This server addresses the common issue where AI assistants provide incorrect date information due to timezone confusion. - Accurate timezone handling - Get current time in any IANA timezone - Time conversion - Convert time between different timezones - Multiple formats - ISO 8601, localized, and human-read
The firewall for AI agents. Open-source policy enforcement for MCP. Website: policylayer.com Intercept is a deterministic enforcement proxy for the Model Context Protocol (MCP). It sits between an AI agent and an MCP server, evaluating every tools/call request against YAML-defined policies. Violating calls are blocked at the transport layer before reaching the upstream server. MCP gives AI agents
A Model Context Protocol (MCP) server for Aiven. This provides access to the Aiven for PostgreSQL, Kafka, ClickHouse, Valkey and OpenSearch services running in Aiven and the wider Aiven ecosystem of native connectors. Enabling LLMs to build full stack solutions for all use-cases. listprojects - List all projects on your Aiven account. listservices - List all services in a specific Aiven project. g
This repository provides an MCP (Model-Control-Protocol) server that allows you to list and query tables via Trino using Python. - MCP: MCP is a protocol for bridging AI models, data, and tools. This example MCP server provides: - A list of Trino tables as MCP resources - Ability to read table contents through MCP - A tool for executing arbitrary SQL queries against Trino - Trino: A fast, distribu
An MCP server implementation for retrieving information from Pinecone Assistant. - Retrieves information from Pinecone Assistant - Supports multiple results retrieval with a configurable number of results - Docker installed on your system - Pinecone API key - obtain from the Pinecone Console - Pinecone Assistant API host - after creating an Assistant (e.g. in Pinecone Console), you can find the ho