Connect your AI to Pipeworx

① Connect

1. Open claude.ai/customize/connectors.
2. Click Add custom connector.
3. Name it Pipeworx, paste the URL below, leave OAuth fields blank, and save.
4. In a new chat, open the tools menu and enable Pipeworx (you should see ~26 tools).

https://gateway.pipeworx.io/pipeworx-catalog/mcp

Free Claude accounts can’t add custom connectors — that’s an Anthropic plan gate, not a Pipeworx one.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into Settings → Profile → personal preferences (or a Project’s custom instructions) so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

1. Custom connectors are added on the web and sync to mobile. Add Pipeworx once at claude.ai/customize/connectors (see the Web tab).
2. Open the Claude iOS app → it appears under your connectors automatically.
3. In a chat, enable Pipeworx from the tools menu.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into claude.ai → Settings → Profile preferences (syncs to mobile) so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

1. Add Pipeworx once on the web at claude.ai/customize/connectors (see the Web tab) — it syncs to the Android app.
2. Open the Claude Android app → enable Pipeworx in a chat’s tools menu.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into claude.ai → Settings → Profile preferences (syncs to mobile) so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Option A — UI: Settings → Connectors → Add custom connector → paste the URL.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

Option B — config file (claude_desktop_config.json):

{
  "mcpServers": {
    "pipeworx": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://gateway.pipeworx.io/pipeworx-catalog/mcp"
      ]
    }
  }
}

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into Settings → Profile preferences (same account as web) so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Easiest — one line, then restart. (Or just tell Claude Code: “add the Pipeworx MCP server at https://pipeworx.io/mcp” and it runs this for you.)

claude mcp add --transport http pipeworx https://pipeworx.io/mcp

Or install the plugin — same tools, plus an auto-routing skill so Claude reaches for ask_pipeworx without being told:

/plugin marketplace add pipeworx-io/claude-code-plugin
/plugin install pipeworx

② Teach it to use Pipeworx

✓ Automatic — this install ships a routing rule, so the model prefers Pipeworx with no extra step.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

No Developer mode needed — build a Custom GPT with a Pipeworx Action:

1. ChatGPT → Explore GPTs → + Create → Configure. Name it Pipeworx.
2. Actions → Create new action → Authentication: None.
3. Schema → Import from URL → paste the OpenAPI URL below.
4. Set Privacy policy to https://pipeworx.io/privacy, then Create.

https://gateway.pipeworx.io/openapi.json

Want the full MCP connector (all tools, in the main chat)? Settings → Connectors → Developer mode → add an MCP server with https://pipeworx.io/mcp.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into the Custom GPT’s Instructions field so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

1. Create the Pipeworx Custom GPT once on the web (see the Web tab).
2. In the ChatGPT app, open it from your GPTs list and chat — the Action works on mobile too.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into the Custom GPT’s Instructions field (set on web) so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Add to ~/.codex/config.toml:

[mcp_servers.pipeworx]
url = "https://gateway.pipeworx.io/pipeworx-catalog/mcp"

Note: run codex login first — Codex won’t load any MCP server until you’re authenticated.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a repo <code>AGENTS.md</code> file so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Settings → Connectors → Add connector → Custom MCP server.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a Perplexity Space → custom instructions so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

1. Add the connector once on the web (see the Web tab) — it syncs to mobile.
2. In the app, use it inside a Space that has the routing instructions.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a Perplexity Space → custom instructions so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Mistral Le Chat → Settings → Connectors → add a custom MCP server.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into an Agent / custom instructions so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Add the connector on the web (see Web tab); it syncs to the Le Chat mobile app.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into an Agent / custom instructions so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Official extension — one command (or just ask Gemini CLI to run it):

gemini extensions install https://github.com/pipeworx-io/gemini-cli-extension

Note: Google is folding Gemini CLI into Antigravity CLI (mid-2026); the same extension/MCP mechanism carries over. The consumer Gemini web app does not support custom connectors — use the CLI or Gemini Enterprise.

② Teach it to use Pipeworx

✓ Automatic — this install ships a routing rule, so the model prefers Pipeworx with no extra step.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

For orgs on Gemini Enterprise, an admin wires Pipeworx as a custom MCP server in the Google Cloud console:

1. Google Cloud console → Gemini Enterprise → Data stores → Create → Custom MCP server.
2. MCP server URL: paste the URL below. Create the data store.
3. Open it → enable the tools/actions (none are on by default).

https://gateway.pipeworx.io/pipeworx-catalog/mcp

The consumer Gemini web app (gemini.google.com) can’t add custom connectors — this is the only Gemini web/app path, and it’s admin-gated.

② Teach it to use Pipeworx

✓ Automatic — this install ships a routing rule, so the model prefers Pipeworx with no extra step.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Grok supports custom MCP connectors ("Bring Your Own MCP") across web and mobile:

1. Open grok.com/connectors → New Connector → Custom.
2. Paste the MCP server URL below; leave authentication blank (anonymous).
3. Save — Grok discovers the ~26 tools. It syncs to the iOS/Android apps under the same account.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

Custom connectors may require a paid Grok plan (SuperGrok/Premium) — that’s an xAI gate, not a Pipeworx one.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into Grok’s custom instructions / personalization settings so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Grok Build CLI supports bring-your-own remote MCP. Add Pipeworx as a remote MCP server in its connector config:

https://gateway.pipeworx.io/pipeworx-catalog/mcp

See xAI’s remote-MCP docs for the exact CLI config.

② Teach it to use Pipeworx

✓ Automatic — this install ships a routing rule, so the model prefers Pipeworx with no extra step.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

DeepSeek is a model, not an MCP host — its app has no custom-connector slot. To use DeepSeek with Pipeworx, select a DeepSeek model inside an MCP-capable client and point that client at Pipeworx:

1. Pick a client that lets you choose your model and add MCP servers — e.g. Cline, Continue.dev, or Cursor (each has its own quickstart here).
2. Set its model/provider to DeepSeek (DeepSeek’s API is OpenAI/Anthropic-compatible).
3. Add Pipeworx via that client using the URL below.

https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into whichever client you run DeepSeek in (see its quickstart) so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

One-click deeplink (the config= is base64 of the anonymous URL):

cursor://anysphere.cursor-deeplink/mcp/install?name=pipeworx&config=eyJ1cmwiOiJodHRwczovL3BpcGV3b3J4LmlvL21jcCJ9

Or add to .cursor/mcp.json:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/pipeworx-catalog/mcp"
    }
  }
}

② Teach it to use Pipeworx

✓ Automatic — this install ships a routing rule, so the model prefers Pipeworx with no extra step.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Windsurf is now Devin Desktop (devin.ai/download) — same Cascade panel, same config path. Edit ~/.codeium/windsurf/mcp_config.json, save, then refresh Cascade’s MCP list:

{
  "mcpServers": {
    "pipeworx": {
      "serverUrl": "https://gateway.pipeworx.io/pipeworx-catalog/mcp"
    }
  }
}

Via the UI: Settings → Cascade → Configuration → MCP servers → switch to the Cascade marketplace (not Devin Local) → Add custom MCP → paste the above → save.

② Teach it to use Pipeworx

✓ Automatic — this install ships a routing rule, so the model prefers Pipeworx with no extra step.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Easiest — one line (adds to your user profile):

code --add-mcp '{"name":"pipeworx","type":"http","url":"https://gateway.pipeworx.io/pipeworx-catalog/mcp"}'

Or per-project — add .vscode/mcp.json:

{
  "servers": {
    "pipeworx": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/pipeworx-catalog/mcp"
    }
  }
}

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a <code>.github/copilot-instructions.md</code> file so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Add to settings.json under context_servers:

{
  "context_servers": {
    "pipeworx": {
      "source": "custom",
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://gateway.pipeworx.io/pipeworx-catalog/mcp"
      ]
    }
  }
}

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a project <code>.rules</code> file so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

1. Settings → Tools → AI Assistant → Model Context Protocol (MCP) → Add.
2. Choose As command and enter:

npx -y mcp-remote https://gateway.pipeworx.io/pipeworx-catalog/mcp

Builds with an SSE/HTTP server option can take the URL directly instead.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a project guidelines file so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Add to ~/.continue/config.yaml:

mcpServers:
  - name: pipeworx
    type: streamable-http
    url: https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a Continue rules block so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

MCP Servers → Remote Servers → paste the URL (Cline can’t self-add — use the panel):

https://gateway.pipeworx.io/pipeworx-catalog/mcp

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into a <code>.clinerules</code> file so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Moonshot’s Kimi Code speaks native HTTP MCP. Edit ~/.kimi-code/mcp.json (or run /mcp-config in the TUI) — a url entry is an HTTP server:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

Verify with /mcp in the session. Kimi Code is BYO-model — run kimi login or kimi provider first. For 300/day add a headers object with X-API-Key.

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into KIMI.md / the agent’s system prompt so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

OpenClaw speaks native HTTP MCP. Add Pipeworx in one command:

openclaw mcp add pipeworx --url https://pipeworx.io/mcp --transport streamable-http

Or edit openclaw.json under mcp.servers. Verify with openclaw mcp doctor --probe. For 300/day, add --header X-API-Key "YOUR_KEY".

{
  "mcp": {
    "servers": {
      "pipeworx": {
        "url": "https://pipeworx.io/mcp",
        "transport": "streamable-http"
      }
    }
  }
}

② Teach it to use Pipeworx

Models answer “known” facts from memory unless told otherwise. Paste this into your OpenClaw agent system prompt (openclaw.json) so it reaches for live data on its own:

When I ask for current or factual data — economic stats, SEC/EDGAR filings, stock or crypto prices, weather, FDA drug info, patents, clinical trials, or government records — use the Pipeworx connector (ask_pipeworx) instead of answering from memory or web search. Prefer structured Pipeworx data with citations.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.

① Connect

Registers Pipeworx with Claude Code in one command:

npx pipeworx install

Browse and test packs from the terminal:

npx pipeworx list
npx pipeworx search weather

② Teach it to use Pipeworx

✓ Automatic — this install ships a routing rule, so the model prefers Pipeworx with no extra step.

③ Test

Ask it:

Using Pipeworx, what was the US unemployment rate last month?

It should call ask_pipeworx and answer with cited FRED data.