Kage MCP Server

Verified memory for coding agents: claims cited against code, stale withheld, savings receipts.

Remote serverstreamable-http

What is the Kage MCP server?

Most knowledge and memory work still happens through a UI a human drives. Kage MCP server moves it into the conversation instead. Verified memory for coding agents: claims cited against code, stale withheld, savings receipts.

The short version

In June 2026 Google shipped OKF (Open Knowledge Format): a standard for keeping knowledge as plain Markdown concept files in your repo, vendor-neutral, no lock-in. It standardizes the store and stops there. Verification, freshness, and staleness are explicitly out of scope for v0.1. Kage is the framework that maintains it. It captures what your coding agents learn as a conformant OKF bundle in git, then keeps every concept honest against your real code: a memory whose cited code no longer exists is rejected at write time, and one

Kage is a memory layer for coding agents. As your agent works, it captures what it learns (decisions, bug fixes, conventions, how the code fits together) as Open Knowledge Format (OKF) concept files committed in your repo under .agent_memory/. The next session (yours or a teammate's) starts already knowing it, instead of re-reading or re-asking.

Getting it running

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

What it needs from you

Configuration is passed through the environment: ANTHROPIC_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Things to watch

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by com.kage-core; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Kage's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

How to install the Kage MCP server

{
  "mcpServers": {
    "kage": {
      "command": "npx",
      "args": ["-y", "@kage-core/kage-graph-mcp"],
      "env": {
        "ANTHROPIC_BASE_URL": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
ANTHROPIC_BASE_URLEndpoint or connection string the server talks to.Yes

Frequently asked questions

It connects Kage to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Kage directly.