BloodHound icon

BloodHound

147

Enables Large Language Models to analyze Active Directory and Azure Active Directory environments through natural language queries.

DaVinci Resolve icon

DaVinci Resolve

146

Enables natural language control of DaVinci Resolve through AI coding assistants.

DB icon

DB

146

Enables AI assistants to interact with multiple databases simultaneously through a unified interface.

Apple Shortcuts icon

Apple Shortcuts

145

Enables AI assistants to control and automate tasks on macOS using Apple Shortcuts.

Git Ingest icon

Git Ingest

144

Reads GitHub repository structure and retrieves specified files, facilitating programmatic analysis of codebases.

Tripo icon

Tripo

144

Provides an interface between AI assistants and Tripo AI for generating 3D assets using natural language.

Figma icon

Figma

144

Enables AI assistants to interact with Figma files through the ModelContextProtocol.

Code Sandbox icon

Code Sandbox

141

Executes code securely within isolated Docker containers, providing a safe environment for AI applications.

Opencoder icon

Opencoder

140

Provides a local, open-source coding assistant experience similar to Claude Code, leveraging the Vercel AI SDK.

Remote icon

Remote

139

Enables remote access and centralized management of model contexts through type-safe MCP communication.

Elasticsearch icon

Elasticsearch

138

Connects Elasticsearch data to any Model Context Protocol (MCP) Client, enabling natural language interaction.

Everything Search icon

Everything Search

136

Enables fast file and folder searching across Windows, macOS, and Linux operating systems.

Goku icon

Goku

135

Simulates HTTP traffic to benchmark and analyze web service performance.

Fetch icon

Fetch

135

Fetches URLs and YouTube video transcripts through an MCP server.

Semgrep icon

Semgrep

134

Scans code snippets and directories for security vulnerabilities using Semgrep within an LLM environment.

Excel icon

Excel

133

Enables reading and writing of spreadsheet data to Microsoft Excel files through a Model Context Protocol (MCP) server.

YouTube icon

YouTube

133

Enables AI language models to interact with YouTube content through a standardized interface for video and channel management, transcript retrieval, and advanced analytics.

Perplexity icon

Perplexity

132

Enables web searches within MCP-compatible applications using the Perplexity AI API.

Kubernetes icon

Kubernetes

132

Implements a Model Context Protocol (MCP) server for Kubernetes and OpenShift, enabling seamless interaction and management of Kubernetes resources.

ReAct Web Search icon

ReAct Web Search

132

Integrates web search capabilities into AI assistant frameworks using the Exa API for real-time, markdown-formatted results.

Atlas icon

Atlas

129

Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol.

Unifai SDK icon

Unifai SDK

129

Enables Python developers to integrate with the Unifai AI platform for dynamic tools and agent communication.

Server Commands icon

Server Commands

128

Enables Large Language Models to execute operating system commands and scripts.

Mem0 icon

Mem0

128

Manages coding preferences via a Model Context Protocol server, enabling efficient storage, retrieval, and search functionality.

Easy icon

Easy

127

Simplifies the creation of Model Context Protocol (MCP) servers in TypeScript.

Rag Web Browser icon

Rag Web Browser

127

Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.

DuckDuckGo Search icon

DuckDuckGo Search

126

Provides web search capabilities through DuckDuckGo, along with content fetching and parsing features.

Code Runner icon

Code Runner

125

Executes code snippets in multiple programming languages and displays the result.

Claude Code icon

Claude Code

124

Implements Claude Code-like functionality using the Model Context Protocol, enabling code understanding, modification, and execution.

Mongo icon

Mongo

124

Enables Large Language Models (LLMs) to directly interact with MongoDB databases using natural language.

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