How do I install the kg mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

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Kg MCP Server

`kg` gives your AI assistant persistent, structured, editable project memory stored locally as a knowledge graph.

Local serverstdioPython

What is the Kg MCP Server?

kg gives your AI assistant persistent, structured, editable project memory stored locally as a knowledge graph.

What the server does

Persistent memory — — keep project knowledge between conversations
Structured, not fuzzy — — inspect nodes, edges, facts, and gaps directly
Editable and reviewable — — store graphs as *.kg files with readable diffs
Local-first — — your project memory stays on your machine in git-friendly format
Works with MCP clients — — connect it as a local stdio MCP server

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
stats	show graph statistics
strict	disable defaults for following lines

How to install the Kg MCP Server

{
  "mcpServers": {
    "kg": {
      "command": "/absolute/path/to/kg-mcp"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

“Use Kg to Local-first.”
“Use Kg to Verb.”
“Use Kg to stats.”

Frequently asked questions

`kg` gives your AI assistant persistent, structured, editable project memory stored locally as a knowledge graph. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.