How do I define my ICP?
Three ways: pick a built-in template, provide a JSON config with weights per signal, or write a plain-English description of your ideal customer.

@mambalabsdev
基本情報
Scores any company against your ideal customer profile from a template, a weights config, or a plain-English description, returning a 0 to 100 score and tier. Part of the Mamba Labs signal toolkit.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mamba-icp": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-icp-fit-scorer"
],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}Score a company against your ideal customer profile (ICP) using weighted signals. Returns a 0 to 100 icp_score, an A to D icp_tier, and a per-signal breakdown as a flat, Clay-ready JSON row. Define your ICP with a prebuilt template, a JSON scoring_config, or a plain-English icp_description (which requires llm_api_key). Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.
Icp Fit Scorer is an MCP server that scores any company against your ideal customer profile and returns a 0 to 100 score, a tier (A/B/C), and per-signal reasoning. You define your ICP using a template, a JSON weights config, or a plain-English description.
Pass a company domain along with your ICP definition (template, weights config, or plain-English description). The server evaluates the company against your criteria and returns a scored, tiered result with reasoning. Configure it with your Apify token in the server config.
Three ways: pick a built-in template, provide a JSON config with weights per signal, or write a plain-English description of your ideal customer.
Depends on your config. Common signals include company size, industry, tech stack, hiring activity, geography, and funding stage.
Yes. The server runs on Apify infrastructure. You need an Apify token, which you can get from a free Apify account.
Yes. The output is a flat JSON row with score, tier, and reasoning columns.

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Build custom POS apps with your AI agent. Final's MCP server lets developers scaffold checkout flows, adapt vetted screen blueprints for counter POS, self-checkout kiosks, restaurant ordering and payment terminals, previ

Remote MCP server for domain and website checks: DNS, WHOIS/RDAP, domain age, TLS, DNSSEC, email auth (SPF/DKIM/DMARC), blocklists, a trust verdict ("should my agent click, sign in to, or pay this site?"), availability +


SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.
コメント