Gemini Pro MCP
Connect an MCP client to documented Gemini, research and media workflows using a community-maintained local server.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
3 servers
Connect an MCP client to documented Gemini, research and media workflows using a community-maintained local server.
Ask an additional model from the assistant you already use, through a hosted or local MCP server.
Discover and call APIs from OpenAny’s gateway through a single remote MCP connection.
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.