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The Versuno MCP server implements the Model Context Protocol so coding agents can query public brains and search, load, and sync your Versuno assets without leaving their editor. It works with Cursor, Claude Code, Cline, Claude Desktop, VS Code, Windsurf, Zed, Antigravity, and any other MCP-compatible client. The tools fall into two groups: Brains for pulling accurate, up-to-date context out of indexed knowledge bases, and Prompt Manager for working with your own AI assets.

Brains

  • Find a brain with list_public_brains. Lists the public brains you can query, such as indexed library and framework docs.
  • Query for context with query_brain. Returns the most relevant passages for a question, ranked, with sources.
  • See the structure with get_brain_tree. Shows a brain’s container hierarchy as an outline.
  • Read full content with get_brain_node. Fetches the complete source behind a query result.

Prompt Manager

  • Load assets into context with get_asset. The agent reads the full content of a prompt, persona, context, system prompt, or skill.
  • Search your library with search_assets before loading, so the agent only pulls what’s relevant.
  • Sync to disk with pull_asset. Writes a markdown file with YAML frontmatter into .versuno/.
  • Push back with push_asset. Edits made in your editor become new versions in Versuno cloud.
Not sure whether to use the MCP or the CLI? See MCP vs CLI.

Quick start

  1. Get an API key from versuno.ai/settings/api-keys.
  2. Add the server to your MCP client. For Cursor:
  3. Restart the client. Your agent now has 9 new tools.
Prefer not to install anything? Point your client at the hosted server instead — https://mcp.versuno.ai/mcp with your API key as a bearer token. See Setup → Remote (hosted HTTP) server for details (the hosted server offers the read/query tools; pull_asset/push_asset stay local-only). For setup in other clients, see Clients.

Package

Published on npm as versuno-mcp.