Burn MCP Server

Burn MCP — give your AI agent a reading workflow. 26 tools to search, triage, burn, vault, and analyze your saved articles. Works with Claude

Remote serverstreamable-httpTypeScript

What is the Burn MCP server?

Burn MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Burn MCP — give your AI agent a reading workflow. 26 tools to search, triage, burn, vault, and analyze your saved articles. Works with Claude, Cursor, Windsurf.

What you get

Your reading data as an AI-accessible knowledge base. 26 tools for Claude, Cursor, Windsurf, and any MCP-compatible agent.

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Configuration and credentials

You will need 3 environment variables: BURN_MCP_TOKEN, BURN_SUPABASE_TOKEN, BURN_API_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by fisher521; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

  • 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.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the burn mcp server does with a few real requests.

How to install the Burn MCP server

{
  "mcpServers": {
    "burn": {
      "type": "http",
      "url": "https://burn-mcp-server.vercel.app/api/mcp",
      "headers": {
        "Authorization": "Bearer <your-token>"
      }
    }
  }
}

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

Configuration

VariableDescriptionRequired
BURN_MCP_TOKENCredential the server authenticates with.Yes
BURN_SUPABASE_TOKENCredential the server authenticates with.Yes
BURN_API_URLEndpoint or connection string the server talks to.Yes

Frequently asked questions

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