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Summary

Open MCP gateway giving agents live, citable data from 1,300+ verified sources like SEC, FDA, USPTO, and FRED.

Features

  • 5,000+ tools across 1,300+ verified data sources via one connection
  • Responses carry source metadata and stable citation URIs
  • On-demand tool loading keeps agent context small
  • Natural-language ask_pipeworx entry point
  • Free tier: 50 calls/day anonymous, 200/day with GitHub

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

  1. Open your agent's MCP configuration file.
  2. Merge the snippet below into it.
  3. Restart the agent — the "Pipeworx" tools will be available.
{
  "mcpServers": {
    "pipeworx": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://gateway.pipeworx.io/mcp"
      ]
    }
  }
}

Description

Pipeworx is an MCP gateway that puts thousands of verified public data sources behind a single MCP connection. Rather than wiring up one server per source, an agent connects once and reaches SEC filings, FDA records, ClinicalTrials.gov, USPTO patents, EPA data, FRED economic series, and more than 1,300 others.

The design detail that matters for research work is citation: every response carries source metadata and a stable citation URI, so a claim an agent makes can be traced back to the record it came from instead of being asserted from memory. Tools are loaded on demand rather than all at once, which keeps the tool list from overwhelming an agent's context, and a natural-language ask_pipeworx entry point lets an agent describe what it needs instead of picking a tool by hand.

It is free to use anonymously at 50 calls per day, rising to 200 per day with a GitHub account. Paid metered plans remove the cap and add premium verticals.

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