MCP Email Server

MCP server to provide Figma layout information to AI coding agents like Cursor

The TwelveLabs MCP Server provides seamless integration with the TwelveLabs platform. This server enables AI assistants and applications to interact with TwelveLabs powerful video analysis capabilities through a standardized MCP interface.

Use zip1.io directly from AI assistants like Claude through the Model Context Protocol (MCP). Shorten URLs, retrieve analytics, and manage links using natural language commands.

Integrate your Alkemi Data, connected to Snowflake, Google BigQuery, DataBricks and other sources, with your MCP Client.

Discover the power of the “CLGateway”, an the open-source Claude MCP Server Gateway (available on GitHub). Built for users of Claude Desktop, Claude API or Claude Code, this Python-based gateway smartly manages your MCP (Model Context Protocol) servers and dramatically slashes token usage, cutting MCP context bloat by roughly 95%. Rather than forcing Claude to load every tool from all configured MCP servers (often thousands of tokens wasted upfront), the gateway exposes just three core tools initially. When you need a specific MCP server (GitHub, Google Workspace, DataForSEO, etc.), the gateway dynamically loads only what’s required, reducing tokens used, improving context clarity, and boosting performance.

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate research questions to drive research and content creation using the powerful Graph RAG technology underpinning InfraNodus. Get additional insights about texts: main topics, keywords, and underlying themes. Connect to your existing InfraNodus graphs or create new ones to enrich analysis and outputs.

This project provides an AI MCP server logic analyzers. It enables remote control, automation, and integration of Saleae Logic devices and captures, making it easy to script, manage, and analyze logic analyzer data programmatically.

Location services, directions, and place details

PlusE is the Ultra Data Source for Your Trading AI—a revolutionary Model Context Protocol (MCP) service that transforms noisy market data into AI-ready trading intelligence. Old-school raw historical price is out, our HTTP Streamable MCP service is the best way to power trading AI. With pre-digested real-time financial insights delivered directly to your AI models via HTTP Streamable MCP, you can make smarter trading AI — in 5 minutes, no complex pipelines required. Unlike traditional financial data providers that require custom API integrations, PlusE uses the standard Model Context Protocol delivered via HTTP to seamlessly connect financial data tools directly to your AI models. Our service preprocesses, filters, and condenses massive financial datasets into high-density data abstractions. These pre-digested insights eliminate information overload and enable your trading AI to make faster, more accurate decisions.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

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Playwright MCP server

MCP server for WHOOP - integrate your fitness and biometric data with Claude and other LLMs

Secure file operations with configurable access controls

GitLab API, enabling project management

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Agentic Long Term Memory based on a proprietary pattern engine. Faster recall than vector databases and more deterministic.

About The Cycloid MCP Server acts as a bridge, seamlessly integrating AI assistants with the Cycloid platform's powerful infrastructure automation capabilities. It empowers users to interact with complex infrastructure workflows using natural language, allowing AI assistants to discover blueprints, explore service catalogs, and manage infrastructure stacks. This server leverages Cycloid's expertise in infrastructure as code, simplifying the creation and management of cloud resources by exposing Cycloid's functionalities through the Model Context Protocol. Key Features - Provides natural language interaction for AI assistants with Cycloid's infrastructure. - Offers tools to discover and list Cycloid blueprints and service catalogs. - Facilitates creation and management of infrastructure stacks from blueprints. - Allows access to Cycloid organization events and pipeline information with filters. - Supports multi-tenant usage with organization and API key headers. Use Cases - Allowing AI assistants to provision and manage cloud infrastructure on the Cycloid platform. - Empowering users to explore available infrastructure blueprints and service catalogs through natural language queries. - Automating complex infrastructure workflows by leveraging AI for stack creation and management.

Web content fetching and conversion for efficient LLM usage

https://github.com/enuno/unifi-mcp-server

Web and local search using Brave's Search API