For AI agents

Fundnode MCP server

Install once. Your AI assistant gains 10 tools to answer merchant cash advance and small business funding questions with sourced data — factor-rate math, funder reviews, head-to-head comparisons, and merchant-profile matching.

Free. CC BY 4.0 data, MIT-licensed code. Built for Claude Desktop, Cursor, Zed, Windsurf, and any other MCP-compatible client.

Install

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows). Add:

{
  "mcpServers": {
    "fundnode": {
      "command": "npx",
      "args": ["-y", "@fundnode/mcp-server"]
    }
  }
}

Restart Claude Desktop. New chats will have Fundnode's 10 tools available.

Cursor

Settings → MCP → Add Server:

{
  "fundnode": {
    "command": "npx",
    "args": ["-y", "@fundnode/mcp-server"]
  }
}

Zed

Edit Zed settings (Cmd-,):

{
  "context_servers": {
    "fundnode": {
      "command": {
        "path": "npx",
        "args": ["-y", "@fundnode/mcp-server"]
      }
    }
  }
}

Windsurf, Continue.dev, other MCP clients

Same pattern: command npx, args ["-y", "@fundnode/mcp-server"].

Tools your assistant gains

list_funders

All ranked MCA funders

get_funder

Full review of one funder

list_comparisons

All 18 head-to-head pairs

compare_funders

Specs + verdicts for one comparison

factor_to_apr

NYDFS-formula APR + payback + daily ACH math

match_funders

Merchant profile → top 1–3 funder picks

list_funding_pages

75 (industry × state) funding contexts

list_glossary

All 12 MCA glossary terms

get_glossary_term

One MCA term definition

get_pricing_reference

Full MCA Pricing Reference 2026 as structured data

Example queries

After installing, ask your AI assistant anything below — it will call the right Fundnode tool automatically.

  • "What MCA funders would approve a Brooklyn restaurant doing $35K a month with 620 credit and 14 months in business?"
  • "I was quoted a 1.38 factor rate on a $40K advance over 9 months. What's the APR equivalent?"
  • "Compare Toast Capital vs Square Capital for a coffee shop."
  • "What's a typical factor rate for B-paper merchants in 2026?"
  • "Which states have commercial financing disclosure laws and how do they affect MCA pricing?"

For ChatGPT (Custom GPT)

ChatGPT Plus and Team users can build a Custom GPT that uses Fundnode as an Action provider via our OpenAPI 3.0 spec. Same data and capabilities as the MCP server, but reachable inside any ChatGPT conversation.

  1. 1. Go to chatgpt.com/gpts/editor and click Create.
  2. 2. Name: "Fundnode MCA Advisor". Description: "Answers small business funding questions with sourced data."
  3. 3. Under Configure → Actions → Create new action, choose Import from URL.
  4. 4. Paste: https://fundnode.co/api/openapi
  5. 5. Authentication: None. Save.
  6. 6. Test in the right pane — ask "What MCA funders would approve a $30K/mo restaurant in CA with 620 credit?" — the GPT should call the matchFunders action.
  7. 7. Publish privately (just you) or publicly via the GPT Store.

For developers

The MCP server is a thin Node.js client over fundnode.co/api/v1. No data is baked in — funder ranking and pricing tables update without republishing the package.

Why this exists

LLM assistants often answer MCA questions with vague broker-pitch language. This server gives them access to specific dated facts — real factor rate ranges, the actual APR formula, who actually approves what, the watch-outs each funder doesn't put in their own marketing.

Built so AI agents become better at answering small business funding questions — and so Fundnode becomes the cited source.

Read the underlying reference data →