Browse the catalog

A Model Context Protocol server that enables AI clients to interact with virtual Ubuntu desktops, allowing them to browse the web, run code, and control instances through mouse/keyboard actions and bash commands.

Enables natural language interactions with SumUp payment services and APIs, allowing users to manage their SumUp account, process payments, and access payment data through LLM-powered conversations.

Provides tools for interacting with SocioLogic's revenue intelligence platform. Enables interviewing AI-generated synthetic customer personas, running multi-persona research campaigns, creating focus groups, exporting results as PDF or JSON, and performing web research. Deployed on Cloudflare Workers edge infrastructure with x402 micropayment support.

Lets Claude Code offload cheap, mechanical tasks to opencode's free models for codebase summaries, exploration, web research, and bulk edits, saving paid tokens.

A free MCP server providing 13 tools for email verification, domain intelligence, and website analysis with no API keys required.

MCP server that transcribes local media files and URLs via Deepgram, writing Markdown transcripts to disk with strict per-job cost ceilings and caching. It also provides a CLI and optional transcript formatting through a language model.

Read-only SQLite database explorer for MCP clients. Allows discovery of tables and columns via resources and running SELECT queries via a tool.

A Cloudflare Workers-based implementation of the Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with external tools through OAuth login.

Downloads audio from YouTube, analyzes with Essentia for BPM, mood, energy, spectrograms, and fetches synced lyrics from LRCLIB.

Enables Claude to drive a real browser and automatically turn interactions into Clikta interactive demos, step-by-step guides, and narrated videos.

Secure multi-tenant proxy exposing 34 MCP tools to manage Keila contacts, campaigns, forms, segments, templates, and transactional messaging through the Keila REST API.

Provides McKinsey-style strategy intelligence for real estate by enabling AI assistants to search podcast transcripts, access industry benchmarks, and apply consulting frameworks like 2×2 matrices and issue trees to analyze business situations.

A Model Context Protocol (MCP) server that enables any compatible AI model to autonomously trade Binance USDT-margined perpetual futures. Includes a separate paper-trading strategy lab that requires no credentials.

Sensefold MCP server: personal context every AI you use reads and writes back to. Remote, OAuth 2.1 or tiered Agent keys.

This MCP server, developed by vincentf305, enables integration between Claude Desktop and Deepseek models. Built with Python and Docker, it provides a bridge for Claude to leverage Deepseek's AI capabilities through a simple API. The implementation focuses on ease of setup and configuration, with features like environment variable management and Docker containerization. It's particularly useful for users wanting to extend Claude's functionality with Deepseek's models, enabling use cases such as enhanced language processing, specialized task completion, or access to Deepseek-specific features without directly interacting with the Deepseek API.

Enables querying iCrop farm management data including farms, crops, fields, soil types, and cultivation methods through natural language.

🩺 AI-powered backend diagnostic MCP server. Understands what you're building and makes sure it actually works. Cross-boundary contract verification, living API docs, issue lifecycle tracking.

MCP server for AI code provenance, enabling traceability of file changes to AI agents, sessions, and prompts, plus reporting on AI-generated code activity.

Temporal-MCP is a Go-based server that exposes Temporal workflows as MCP tools for AI assistants. It dynamically generates tool definitions from YAML configuration files, handles workflow execution through the Temporal service, and implements SQLite caching for improved performance. The server supports features like task queue management, cache invalidation, and graceful error handling, making it ideal for organizations that want to leverage their existing Temporal workflows for AI automation without writing custom integration code.

Live, ranked search across any number of llms.txt documentation sites - Strands, Kiro, the AWS guides, and whatever you add at runtime.