Give Your AI Assistant Memory

Connect GNO to Claude Desktop, Cursor, Zed, Windsurf, Amp, Raycast, and more via MCP. 19 tools for search, retrieval, graph exploration, and indexing. Your AI can search and cite your local documents.

Key Benefits

19 MCP tools for search, retrieval, graph, and indexing
Works with Claude Desktop, Cursor, Zed, Windsurf, Amp
Also supports Raycast, LM Studio, LibreChat
One-command install for 10+ clients
Write tools disabled by default (security-first)
Resource URIs for direct document access

Example Commands

gno mcp install gno mcp install --target cursor gno mcp install --target zed gno mcp status

Get Started

Ready to try MCP Integration?

Quick Start Guide CLI Reference

What is MCP?

Model Context Protocol (MCP) is a standard that lets AI assistants access external tools and data sources. GNO implements an MCP server that gives your AI access to your local documents.

Quick Setup

Claude Desktop

gno mcp install

Restart Claude Desktop. GNO tools will appear in the tool list.

Claude Code

# User-level (all projects)
gno mcp install --target claude-code

# Project-level (current project only)
gno mcp install --target claude-code --scope project

Check Status

gno mcp status

Shows which clients have GNO configured.

Advanced Setup

For manual configuration or unsupported clients, add to the client’s MCP config:

{
  "mcpServers": {
    "gno": {
      "command": "/path/to/bun",
      "args": ["/path/to/gno", "mcp"]
    }
  }
}

Note: Use absolute paths. Claude Desktop runs in a sandboxed environment with a limited PATH.

Config Locations

Client	Path
Claude Desktop (macOS)	`~/Library/Application Support/Claude/claude_desktop_config.json`
Claude Code (user)	`~/.claude.json`
Claude Code (project)	`./.mcp.json`
Codex (user)	`~/.codex.json`

Cursor

Configure in Cursor’s MCP settings with the command:

gno mcp

Available Tools (19 Total)

Once connected, your AI assistant can use:

Read Tools:

Tool	Description
`gno_search`	BM25 keyword search
`gno_vsearch`	Vector similarity search
`gno_query`	Hybrid search with reranking
`gno_get`	Retrieve document content
`gno_multi_get`	Batch document retrieval
`gno_status`	Check index status
`gno_list_tags`	List all tags
`gno_links`	Get outgoing links
`gno_backlinks`	Get incoming backlinks
`gno_similar`	Find semantically similar docs
`gno_graph`	Knowledge graph data

Write Tools (opt-in with --enable-write):

Tool	Description
`gno_capture`	Create new documents
`gno_add_collection`	Add document sources
`gno_remove_collection`	Remove document sources
`gno_sync`	Update collections
`gno_embed`	Generate embeddings
`gno_index`	Full re-index

Job Tools:

Tool	Description
`gno_job_status`	Check async job state
`gno_list_jobs`	List all jobs

Example Prompts

Ask your AI assistant:

“Search my notes for the project roadmap and summarize the Q4 goals.”

“Find all documents about authentication and list the key decisions.”

“What did I write about database migrations last month?”

Your AI will search your local documents and cite sources in its response.