Reecopedia
Free regulatory search engine for EU textile sustainability law, exposed as a remote MCP server. 2 tools, with
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 124 of 226
Free regulatory search engine for EU textile sustainability law, exposed as a remote MCP server. 2 tools, with
Selenium MCP server for AI agents — 38 browser automation tools with page snapshots, selector hints, multi-session, and batched execution. 41 tools, with
When an AI agent fetches a page and it quietly comes back empty (a JavaScript app, a 403, a Cloudflare wall), the agent often…
# AniList MCP Server A Model Context Protocol (MCP) server that interfaces with the AniList API, allowing LLM clients to access and interact with…
Competitive intelligence API for autonomous AI agents — pay-per-call via x402 on Base and Solana.
# Candidate MCP Server Library A Model Context Protocol (MCP) server that gives LLMs access to information about a candidate. ## Overview > **Important**…
AI-Powered Security Analysis for AWS — official MCP server. Analyze IAM policies and CloudFormation templates from any MCP client. 2 tools, with
VeraData — Verified Latin American Data for Autonomous AI Agents via x402 micropayments.
# anki-mcp MCP Server A server to integrate with Anki via the AnkiConnect plugin This is a TypeScript-based MCP server that integrates with Anki…
# Exemplo de Servidor MCP Criado para fins educacionais no canal Código Fonte TV, este projeto demonstra como construir um servidor MCP com integração…
Human-in-the-loop approval inbox for AI agents. An agent proposes an action, a human approves or rejects it, then it runs. 8 tools, with
MCP Rust CLI server template ============================= Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.