AstroFabric

AstroFabric is agentic AI for business intelligence.

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What it can do

  • Billing Status: Read this workspace's credit balance, trial deadline, selected subscription and monthly credits, renewal/cancellation state, and billing recovery link. Trial credits do not refresh mon
  • Mission Agent: Give AstroFabric an objective about go-to-market data in plain language and it plans and executes the whole mission autonomously: identify companies, discover and verify contacts, enric

What data it sees

Do you need an account

No: the server works without sign-in

AstroFabric is agentic AI for business intelligence. Autonomous AI agents identify the companies, find and verify the people, attach the buying signals, score the fit and deliver finished lists and audiences into the CRM, outreach tools and ad accounts your team already runs. Every workflow carries evidence, approval gates and credit ceilings.

How to connect

How to connect AstroFabric to Claude

The server address to paste into Claude settings:

https://astrofabric--hello-vlrx.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect AstroFabric to ChatGPT

The server address to paste into ChatGPT settings:

https://astrofabric--hello-vlrx.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect AstroFabric to Cursor

The server address to paste into Cursor settings:

https://astrofabric--hello-vlrx.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (2)

Raw names from tools/list. Only developers need these.

billing_statusRead this workspace's credit balance, trial deadline, selected subscription and monthly credits, renewal/cancellation state, and billing recovery link. Trial credits do not refresh monthly. Extra credits are available only after a paid plan starts. This tool never starts checkout or charges a payment.
mission_agentGive AstroFabric an objective about go-to-market data in plain language and it plans and executes the whole mission autonomously: identify companies, discover and verify contacts, enrich lists through waterfalls of company and person data, attach buying signals, score fit, build ad audiences on connected accounts, personalize outreach, and deliver into connected CRMs and tools. The result starts with a [thread:<id>] line - pass it as thread_id on follow-ups ("verify those emails", "push them to LinkedIn as an audience") and the agent remembers everything already asked and delivered. It may reply with a clarifying question; answer it the same way. Prefer this over the individual tools for anything multi-step.