Constellate MCP
Give agents a compact map and searchable evidence pages for a shared project's decisions.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
3 servers
Give agents a compact map and searchable evidence pages for a shared project's decisions.
Keep project facts in named memory vaults that a coding agent can recall across sessions.
Give an AI agent persistent memory with separate handling for current facts, pinned context and older history.
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.