— · no license
Enables reading and searching emails in Microsoft Outlook classic on Windows via COM, with tools for listing folders, searching mail, reading messages and threads, and extracting attachments.
— · no license
Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.
— · no license
Enables DNA sequence analysis and variant effect prediction using Evo2-7B via MCP tools, providing forward inference, likelihood scoring, and batch variant comparison through natural language.
— · no license
Enables querying the NFX Signal Investor API to retrieve investor lists, check sizes, and VC firm data, with optional LinkedIn and Crunchbase enrichment.
— · no license
Enables hands-on exploration of common MCP security vulnerabilities through locally runnable vulnerable and fixed servers with accompanying exploits and a dashboard.
— · no license
Provides MCP tools to retrieve and analyze wellness metrics such as activity, blood pressure, glucose, heart rate, sleep, and SpO2 from the Sapphire Wellness App.
— · no license
Exposes user profile data from the Sapphire Wellness App to AI assistants, enabling access to health alerts, personalized recommendations, and partner service subscriptions.
— · no license
Enables AI agents to analyze an SQLite e-commerce database via secure read-only SQL queries, providing tools for table inspection and analytical requests.
— · no license
Provides a weather lookup tool and greeting resource via MCP, enabling AI agents to fetch current conditions and personalized messages through natural language.
— · no license
Enables agents to read and resolve layered feedback, propose and make decisions with evidence, and access trial ledgers and judgment views for experiment-driven work.
— · no license
Enables deterministic, read-only retrieval of ServiceNow Knowledge articles, including search, article details, and binary attachments, via the ServiceNow Knowledge Management REST API.
— · no license
Provides MCP tools for hybrid knowledge base search, grounded Q&A with citations, agent execution, and ticket/account lookups.
— · no license
Provides four MCP tools for neural retrieval: personalized user recommendations, item-to-item similarity, cold-start text search, and explainable recommendation scores, enabling LLM agents to query a trained two-tower recommender over Amazon Reviews data.
— · no license
Enables Littlebird to read and submit DailyBot check-ins through the DailyBot CLI.
— · no license
Enables document indexing and question answering with Retrieval-Augmented Generation, providing cited answers from user-supplied documents.
— · MIT
This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news.
— · MIT
A middleware to provide an openAI compatible endpoint that can call MCP tools
— · Apache-2.0
A security scanner for your LLM agentic workflows
v2.0.4 · MIT
Model Context Protocol server for GraphQL
v0.1.3 · AGPL-3.0
MCP server for Storybook - provides AI assistants access to components, stories, properties and screenshots
v0.1.3 · Apache-2.0
Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
— · no license
MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。
— · Apache-2.0
lightweight Python-based MCP (Model Context Protocol) server for local ComfyUI
— · MIT
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.