@productbrain/mcp
v0.0.1-beta.15079
Published
Product Brain — MCP server for AI-assisted product knowledge management
Readme
Product Brain MCP (@productbrain/mcp)
Give your AI agent your product's memory. Read the Chain, capture decisions, and write back — from Claude Code, Claude Desktop, Cursor, or any MCP client.
Requirements: Node 18+, and an API key from Product Brain Settings, API Keys.
Install
Pre-GA, always pin the beta tag:
npx -y @productbrain/mcp@betaConnect your client
Claude Code
claude mcp add productbrain \
-e PRODUCTBRAIN_API_KEY=pb_sk_your_key_here \
-- npx -y @productbrain/mcp@betaClaude Desktop
claude_desktop_config.json:
{
"mcpServers": {
"productbrain": {
"command": "npx",
"args": ["-y", "@productbrain/mcp@beta"],
"env": {
"PRODUCTBRAIN_API_KEY": "pb_sk_your_key_here"
}
}
}
}Cursor
~/.cursor/mcp.json — same command / args / env block as above.
Configuration
| Variable | Required | Default |
|---|---|---|
| PRODUCTBRAIN_API_KEY | yes | — your API key. Workspace, user and scope come from it on the server. |
| CONVEX_SITE_URL | no | Product Brain Cloud. Point at another deployment (a *.convex.site URL, not *.convex.cloud). |
| PRODUCTBRAIN_URL | no | Alias for CONVEX_SITE_URL. |
| MCP_DEBUG | no | Set to 1 for verbose logs on stderr. |
See .env.mcp.example in this package for the annotated list.
What your agent gets
Tools for orientation, search, capture, entry and relation management, collections, labels, workflows, and session tracking. The agent reads what governs the work before it acts, and writes decisions and tensions back as it learns them.
Prefer the terminal? @productbrain/cli exposes the same Chain as pb.
Links
- Product Brain — https://work.productbrain.io
- Issues — https://github.com/synergyai-os/Product-OS/issues
