Discover Awesome MCP Servers
Extend your agent with 19,496 capabilities via MCP servers.
- All19,496
- Developer Tools3,867
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- AI Integration Systems229
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- Remote Shell Execution165
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- Programming Docs Access109
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- Image & Video Processing69
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Stripe Tax API MCP Server
Minimal MCP Server for testing integration with Copilot Studio
Fergus MCP Server
Enables AI assistants to interact with Fergus job management platform through secure API integration. Supports managing jobs, customers, quotes, and sites with real-time data synchronization.
Git MCP Server
Enables git repository operations through REST endpoints, providing access to repository status, diffs, and commits. Enforces security through configurable root directory allowlists for safe git operations.
NetSuite MCP Server by CData
NetSuite MCP Server by CData
Weather MCP Server
Enables users to fetch current weather conditions for any city worldwide and display weather information as native system notifications on macOS. Provides human-readable weather data including temperature, conditions, humidity, wind speed, and atmospheric pressure.
Godot Sentinel MCP
Enables AI assistants to interact with Godot game projects through real-time error detection, automated testing, code analysis, and safe git-based patching. Provides comprehensive project context and development workflow automation for Godot developers.
@pokutuna/mcp-chrome-tabs
provides direct access to your browser's open tabs content. No additional fetching or authentication required - simply access what you're already viewing.
MCP Memory Server
Enables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.
Blockchain Payment MCP Server
Enables blockchain payment operations across multiple networks including Base, Ethereum, BSC, Polygon, and Avalanche. Supports balance queries, token transfers, transaction tracking, wallet management, and gas fee estimation with built-in security limits.
REI3 Tickets MCP Server
Enables AI assistants to create tickets and worklog entries in REI3 ticket management systems through the REI3 Tickets API. Supports secure authentication and provides natural language interface for ticket operations.
mcp-server-macos-use
AI agent that controls computer with OS-level tools, MCP compatible, works with any model
ogd-mcp-server
OGD MCP Server
OpsNow MCP Asset Server
Aucterra MCP Server
An MCP-compatible server that enables LLM agents to interact with Aucterra's document understanding APIs, providing structured access to document classification and field extraction services.
OpenAlex MCP Server
Implementasi sumber terbuka dari OpenAlex MCP Server untuk akses terstruktur ke literatur akademik dunia bagi Agen AI.
Remote MCP Server on Cloudflare
docs.rs MCP
An MCP server that enables searching for Rust crates and their documentation from docs.rs, allowing AI agents to find required crates and access the latest documentation.
k8s-mcp-server
Here are a few ways to translate "k8s server for MCP" into Indonesian, depending on the context and what you want to emphasize: * **Server K8s untuk MCP:** This is a direct translation and is generally understandable, especially if the audience is familiar with technical terms. * **Server K8s untuk MCP (Master Control Program):** This is the same as above, but it clarifies what MCP stands for, which is helpful if the audience might not know. * **Server K8s untuk Program Kontrol Utama (MCP):** This translates "Master Control Program" into Indonesian. It's more formal and might be preferred if you want to avoid using the English abbreviation. * **Server Kubernetes untuk MCP:** Using "Kubernetes" instead of "K8s" makes it slightly more formal and easier for non-technical people to understand. * **Server Kubernetes untuk MCP (Master Control Program):** Same as above, but with the clarification of MCP. **Which one is best depends on your audience:** * For a technical audience already familiar with Kubernetes and MCP, "Server K8s untuk MCP" is likely sufficient. * If you're unsure of the audience's familiarity, "Server K8s untuk MCP (Master Control Program)" or "Server Kubernetes untuk MCP (Master Control Program)" is safer. * If you're writing for a more general audience or want to be very clear, "Server Kubernetes untuk Program Kontrol Utama (MCP)" is the most explicit. Therefore, the best translation depends on the specific context. If you can provide more context about where this phrase will be used, I can give you a more precise recommendation.
Opendatasoft MCP Server
Remote MCP Server on Cloudflare
OpenSearch MCP Server
MonarchMoney MCP Server
Enables AI assistants to access and analyze MonarchMoney personal finance data through natural language queries. Provides comprehensive financial insights including account balances, transaction analysis, budget tracking, and spending patterns with enterprise-grade security.
MCP Windows
Windows integration MCP server that enables Claude to interact with Windows system features including media playback control, notification management, window operations, screenshots, monitor control, theme settings, file opening, and clipboard access.
Slack MCP Server
Enables interaction with Slack workspaces through comprehensive channel management, messaging, user management, file uploads, and Block Kit formatting. Features secure credential storage via macOS Keychain and supports all major Slack operations including reactions and workspace information.
HuLa MCP 服务
🌍 Layanan MCP aplikasi pesan instan HuLa
visitbeijing
visitbeijing
JoeSandboxMCP
A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud. This server exposes rich analysis and IOC extraction capabilities from Joe Sandbox and integrates cleanly into any MCP-compatible application (e.g. Claude Desktop, Glama, or custom LLM agents).
Think Tool MCP Server
Sebuah server MCP yang mengimplementasikan alat "think" dari Anthropic.
MCP Orchestration System
A master control platform that orchestrates intelligent agents with a plug-and-play architecture, allowing users to manage and coordinate multiple AI agents through a unified system.