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Awesome MCP Servers

Maintains a comprehensive directory of publicly accessible Model Context Protocol (MCP) servers, enabling interaction between large language models and external systems.

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Quanmiao Hotnews

Aggregates and delivers real-time hot news information using the Aliyun Bailian API.

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Stellar XDR-JSON

Exposes Stellar XDR-JSON conversion tools for Claude to understand XDR data structures.

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Discord

Enables AI assistants to interact with the Discord platform.

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Brex

Enables AI agents to interact with the Brex expense tracking platform.

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Boot

Kickstarts the development of Model Context Protocol (MCP) applications using TypeScript.

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Decent Sampler Drums

Generates configurations for Decent Sampler drum kits using a Model Context Protocol server.

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WatchBase

Provides structured access to watch metadata, including brands, families, and reference details from WatchBase.com.

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Twilio WhatsApp

Sends WhatsApp messages via the Twilio API using a FastMCP server.

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AgentCraft

Enables secure communication and data exchange between AI agents within the AgentCraft framework.

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Claude Notifications

Provides auditory and visual notifications for the Claude Desktop application on macOS.

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System Resource Monitor

Provides Claude with real-time system monitoring capabilities.

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Memory Bank

Manages Markdown documents within isolated projects for large language model tool calling.

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Client 7ex

Provides an example client for interacting with an MCP server using Electron and React.

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MCPfinder

Enables language models to dynamically discover and access new tools and capabilities through MCP servers.

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Calendar AutoAuth

Enables AI assistants to manage Google Calendar through natural language interactions with auto authentication support.

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Signaturit

Simplifies integration with Signaturit's e-signature API through an MCP server.

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Scraper Engine

Provides a basic server for web scraping tasks.

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Minimal

Provides a basic implementation of a Model Context Protocol server using the official MCP SDK.

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Time

Provides accurate time information to large language models via the Model Context Protocol (MCP).

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