The MCP Trust Index.

chakra-ui/panda

by chakra-ui

MCP server for Panda CSS AI assistants

chakra-ui/panda

Browser Use

by kontext-dev

Provides an async browser automation server using OpenAI's GPT-4o model, enabling remote web navigation, content extraction, and task execution with configurable browser contexts.

kontext-dev/browser-use-mcp-server

homelable

by pouzor

Self-hosted homelab infrastructure visualizer — interactive network diagram with live status monitoring

Pouzor/homelable

lynx-family/lynx-stack

by lynx-family

A MCP Server providing Lynx documentation resources for LLMs, with carefully designed prompting.

lynx-family/lynx-stack

AceDataCloud Sora

by acedatacloud

OpenAI Sora AI video generation through the AceDataCloud API platform.

acedatacloud/soramcp

ArXiv

by blazickjp

Search and analyze academic papers from the arXiv repository.

blazickjp/arxiv-mcp-server

MemOS Memory Management

by memtensor

MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.

MemTensor/MemOS

MarkItDown

by microsoft

MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines. To this end, it is most comparable to textract, but with a focus on preserving important document structure and content as Markdown (including: headings, lists, tables, links, etc.) While the output is often reasonably presentable and human-friendly, it is meant to be consumed by text analysis tools -- and may not be the best option for high-fidelity document

microsoft/markitdown

screenpipe

by screenpipe

give context of what you do 24/7 to AI

screenpipe/screenpipe

minima

by dmayboroda

On-premises conversational RAG with configurable containers

dmayboroda/minima

glean

by leslieleung

A self-hosted RSS reader and personal knowledge management tool.

LeslieLeung/glean

Draw.io MCP Server

by lgazo

Enables AI agents to programmatically create, modify, and analyze Draw.io diagrams through the Model Context Protocol. Supports generating architectural diagrams, flowcharts, and visualizations with bidirectional communication between AI systems and Draw.io.

lgazo/drawio-mcp-server

legendsviewer-mcp

by hadows

MCP server that lets AI assistants read and query Dwarf Fortress world legends: search events, objects, and properties, or read summaries and base rates to distinguish real patterns from common traits.

Hadows/legendsviewer-mcp

InterSystems IRIS

by caretdev

Provides a bridge to InterSystems IRIS databases for executing SQL queries and managing production items through tools for database operations and system monitoring

caretdev/mcp-server-iris

ssh-mcp-server

by classfang

Enables secure remote command execution and bidirectional file transfers on SSH servers through the Model Context Protocol. It features robust security controls including command whitelisting, credential isolation, and support for multiple SSH connection profiles.

classfang/ssh-mcp-server

Draw.io MCP Server

by jgraph

Enables LLMs to create and open diagrams in the draw.io editor, supporting inline chat previews via MCP Apps, direct editor opening with XML/CSV/Mermaid format support, and diagram export to PNG/SVG/PDF or browser URLs through multiple integration approaches.

jgraph/drawio-mcp

ReactUse

by childrentime

MCP server for the ReactUse library. Exposes 110+ React Hook signatures, examples, and API metadata so AI coding assistants can discover and use any hook from @reactuses/core directly.

childrentime/reactuse

langwatch/langwatch

by langwatch

An MCP server for Langwatch.

langwatch/langwatch

upstash/context7

by upstash

MCP server for Context7

upstash/context7

Fetch

by modelcontextprotocol

Web content fetching and conversion for efficient LLM usage

modelcontextprotocol/servers

mcp-searxng

by ihor-sokoliuk

MCP server for SearXNG integration

ihor-sokoliuk/mcp-searxng