MCP Server

Scores a company against your ICP with weighted signals. Returns score, tier, and breakdown.

Local serverstdioGo

What is the MCP MCP server?

MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Scores a company against your ICP with weighted signals. Returns score, tier, and breakdown.

What you get

An MCP server that scores a company against your ideal customer profile. It wraps the Mamba Labs ICP Fit Scorer actor on Apify and returns a Clay-ready flat JSON row to any MCP client.

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

What the assistant can call

Once MCP is connected, these are the calls the assistant has available:

  • User — defined JSON scoring config with custom weights
  • Per — signal point breakdown: hiring, tech stack, headcount, funding, industry
  • Actor — Immutable Actor ID

Configuration and credentials

You will need one environment variable: APIFY_TOKEN. 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.

  • Node.js 18 or newer - An Apify account with an API token

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • 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 mcp mcp server does with a few real requests.

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. MCP's toolset — User, Per, Actor — is a fair guide to whether it matches your workflow. It is maintained by com.mambabuilt; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
Userdefined JSON scoring config with custom weights
Persignal point breakdown: hiring, tech stack, headcount, funding, industry
ActorImmutable Actor ID

How to install the MCP MCP server

{
  "mcpServers": {
    "mamba-icp-scorer": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-icp-fit-scorer"],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

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

Configuration

  • Node.js 18 or newer - An Apify account with an API token
VariableDescriptionRequired
APIFY_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use MCP to User.
  • Use MCP to Per.
  • Use MCP to Actor.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (User, Per, Actor) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.