Discover Awesome MCP Servers

Minted MCP Server

Enables interaction with Minted.com to retrieve address book contacts, order history, and delivery information for recent card orders.

Gmail MCP Server

Enables AI assistants to read unread Gmail messages and compose draft replies while maintaining thread continuity. It includes optional Notion integration to fetch and apply specific style guides for consistent professional communication.

ainative-opencode-memory-mcp

Provides persistent memory for OpenCode coding agents, allowing them to store and recall architecture decisions, conventions, and gotchas across sessions via semantic search.

GeoCroissant MCP Server

Enables discovering and searching Earth observation datasets from STAC catalogs, generating validated GeoCroissant metadata, inspecting document structure, and previewing records for geospatial ML workflows.

dutch-property-context

Enables querying Dutch property context for an address, returning building, energy, neighborhood, environment, heritage, and school data from public registers, with explicit match verification and signals.

Genomefy MCP Server

Provides a local context-memory layer for AI assistants, enabling retrieval-augmented queries, explanations, feedback, and status checks via MCP tools.

BCRP MCP Server

Enables AI agents to access economic statistics from the Central Reserve Bank of Peru, including exchange rates, interest rates, and GDP, without requiring an API key.

Discord MCP Server

A secure server that enables interaction with Discord channels through JWT-authenticated API calls, allowing users to send messages, fetch channel data, search content, and perform moderation actions.

GitLab MCP Server

A Model Context Protocol (MCP) server for GitLab integration, written in TypeScript. This server allows you to interact with GitLab merge requests, commits, pipelines, and jobs through MCP tools.

mcpilot

Context-aware MCP server advisor. Tells you what to install for your specific project — and why.

aegis-crew

A secure MCP server enabling tool calls (kb_search, read_doc, publish_report) through a zero-trust CapabilityBroker with OWASP LLM Top-10 guardrails and human-in-the-loop approval.

NetBrain MCP

An open-source network operations integration platform that connects large language models with network devices through the Model Context Protocol, allowing AI assistants to perform network configuration, diagnostics, and management tasks.

design-doc-mcp

Turns real technical work from a Claude Code session into a saved, professional design doc with one slash command, no copy-pasting or signup required.

mcp-server-anki

Enables AI tools to manage Anki flashcards, including deck management, card search, creation, editing, deletion, and statistics.

MCPServer

一个简单的 MCP 服务器，用于启用代理工作流。 (Yī gè jiǎndān de MCP fúwùqì, yòng yú qǐyòng dàilǐ gōngzuò liú.) Alternatively, depending on the context, you might also use: 一个简单的 MCP 服务器，以实现基于代理的工作流程。(Yī gè jiǎndān de MCP fúwùqì, yǐ shíxiàn jīyú dàilǐ de gōngzuò liúchéng.) The first translation is more literal, while the second emphasizes the "agent-based" nature of the workflow. Choose the one that best fits the specific context.

MCP Memory System

Enables AI assistants to maintain persistent conversations and context between sessions through automated saving and global installation across projects. Provides zero-configuration memory persistence with automatic conversation history preservation.

iCafeCloud MCP

Enables managing an internet cafe through natural language by wrapping the iCafeCloud API, allowing actions like listing PCs, checking status, sending commands, and viewing revenue reports.

plex-mcp-server

Lets AI assistants browse your libraries, search media, get viewing recommendations, check what's on deck, and more — all read-only against your local Plex instance.

RemindersBridge

Enables ChatGPT to interact with Apple Reminders on your Mac through a secure local agent, providing tools to search, create, complete, and update reminders.

TypeScript MCP Server Boilerplate

A starter project designed to quickly build and deploy Model Context Protocol (MCP) servers using the TypeScript SDK and Zod for schema validation. It features example implementations for tools and resources, providing a solid foundation for custom MCP development and integration.

PixLint

Provides AI assistants with a comprehensive computer-vision dataset toolkit for analyzing, curating, augmenting, and exporting datasets, including label error detection and automatic publishing.

vibescience-mcp

A scientific experiment log MCP server for AI agents that stores predictions, causal claims, and verdicts, enabling queryable causal maps and calibration of intuition over diagnostics.

MCP Odoo Bridge Server

Enables AI assistants to interact with Odoo data using natural language to search, read, create, and update records. It acts as a secure bridge between MCP clients and Odoo instances version 17.0 through 19.0.

bitwig-gemini-mcp

Enables AI agents to control and monitor Bitwig Studio in real-time using natural language commands through MCP and OSC.

LensPR

MCP server that builds a dependency graph of your codebase, giving AI agents structural understanding to analyze impact, find context, and make safe modifications across languages and infrastructure.

defi-yields-mcp

An MCP server for AI agents to explore DeFi yield opportunities, powered by DefiLlama.

MCP Weather Server

Enables users to get current weather information for any city worldwide using the Open-Meteo API. Provides temperature and wind speed data through natural language queries.

armavita-quo-mcp

Local-first MCP server for Quo/OpenPhone automation across messaging, calls, contacts, users, phone numbers, and webhooks via a clean stdio tool surface.

Browser MCP

Enables AI agents to drive your real, logged-in Chrome browser with existing sessions and cookies, bypassing CAPTCHA and anti-bot measures, with support for multi-session and human-in-the-loop workflows.

style-memory-mcp

A tiny local MCP server that learns a user's conversational style, catchphrases, dialect markers, emoji habits, tone preferences, and concrete collaboration preferences without storing private memories.