trip1
Trip1 MCP Server lets AI agents search and book hotels on trip1, about 3 million properties in 200+ countries, paid in USDC on Base…
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 199 of 226
Trip1 MCP Server lets AI agents search and book hotels on trip1, about 3 million properties in 200+ countries, paid in USDC on Base…
Nova Amazon MCP is a remote MCP server that connects your Amazon Seller Central, Vendor Central and Amazon Ads data to Claude, ChatGPT, Gemini…
Give your AI agent a real design engine. Create, edit and export real, editable designs from Claude Code, Codex, Cursor and more. Powered by…
Mcpx MCP Server: Turn MCP servers into composable CLIs.
CraftStory is an AI video platform that turns one photo into a talking video: a person in the photo speaks your script with lip-sync…
Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis.
Give Claude full access to your email through Mozilla Thunderbird. CLI + MCP server for AI agents.
Nero AI Image Processing MCP Server brings Nero AI’s image and video processing capabilities to MCP-compatible clients. 9 tools, with
Uplika is a hosted MCP server that lets an AI agent publish to the social accounts you connect, and read replies and insights back.
Open-source, self-hosted control plane for OpenClaw and Hermes AI-agent fleets on Docker/Kubernetes — REST, CLI, and MCP.
Qorenext Trade screening MCP is a Model Context Protocol server that enables Claude and other AI clients to run sanctions screening and…
Build better UI with coding agents. Free design skills, a PR finish gate, and MCP references from 800,000+ web and iOS screens.
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.