Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.

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.

Enables querying the NFX Signal Investor API to retrieve investor lists, check sizes, and VC firm data, with optional LinkedIn and Crunchbase enrichment.

Enables hands-on exploration of common MCP security vulnerabilities through locally runnable vulnerable and fixed servers with accompanying exploits and a dashboard.

Enables AI agents to analyze an SQLite e-commerce database via secure read-only SQL queries, providing tools for table inspection and analytical requests.

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.

Enables deterministic, read-only retrieval of ServiceNow Knowledge articles, including search, article details, and binary attachments, via the ServiceNow Knowledge Management REST API.

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.

Enables Littlebird to read and submit DailyBot check-ins through the DailyBot CLI.

Enables document indexing and question answering with Retrieval-Augmented Generation, providing cited answers from user-supplied documents.

A middleware to provide an openAI compatible endpoint that can call MCP tools

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。

Enables AI chat clients to perform market research and competitive intelligence by gathering company overviews, competitor lists, product portfolios, pricing snapshots, and recent news via live Tavily search.

Enables MCP-compatible clients to analyze TypeScript code by finding method references, dependency imports, and React component trees.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

Enables AI agents to auto-load a persistent skill library at session start, and provides proxy tools for MiniMax vision and web search that work around broken MCP stdio transports.

A lightweight way to use environment variables in your Cursor MCP server definitions.

Enables AI assistants to manage phone calls, contacts, and tasks directly, including making and scheduling calls, retrieving transcripts, and handling contact and to-do items.

Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).

Ten machine-readable signals on one public page: the top miss if any, and a receipt we re-verify.

Publish HTML, Markdown, and multi-file sites as shareable URLs instantly via MCP.

Confidential AI execution with a post-quantum receipt on every job — verifiable by anyone.

Capture feature requests and bug reports from chat into a searchable, AI-categorized backlog.

A searchable knowledge base your assistant reads and writes.