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graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Apple MCP Server

Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.

Linear MCP Server

A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

MCP Server Trello

Facilitates interaction with Trello boards via the Trello API, offering features like rate limiting, type safety, input validation, and error handling for seamless management of cards, lists, and board activities.

@kazuph/mcp-gmail-gas

Model Context Protocol server for Gmail integration. This allows Claude Desktop (or any MCP client) to interact with your Gmail account through Google Apps Script.

Folderr

A Model Context Protocol (MCP) server that provides tools to interact with Folderr's API, specifically for managing and communicating with Folderr Assistants.

Composio MCP Server

A server implementation that provides MCP-compatible access to Composio applications like Gmail and Linear, allowing interaction through a structured interface for language models.

mcp-google

A specialized Model Context Protocol (MCP) server that integrates Google services (Gmail, Calendar, etc.) into your AI workflows. This server enables seamless access to Google services through MCP, allowing AI agents to interact with Gmail, Google Calendar, and other Google services.

Gmail AutoAuth MCP Server

Server for Gmail integration in Claude Desktop with auto authentication support. This server enables AI assistants to manage Gmail through natural language interactions.

WebMCP

A framework that enables websites to share tools, resources, and prompts with client-side LLMs without requiring API keys, allowing users to interact with web services using their preferred models.