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Connect any API and Postgres to your AI

Your AI can call any API you use and store the response in your database, so external data lands in your own tables. One connection, both tools, works with Claude, ChatGPT, Gemini, and any MCP-compatible AI.

What you can build

Connect any API and Postgres

Connect the one MCP URL

Add the single UniversalBench MCP URL to your AI. It works with Claude, ChatGPT, Gemini, and any MCP-compatible AI.

Save your any API credential

Get the API key for the service you are calling, then save it in your secret vault as API_TOKEN. That name unlocks the any API capability automatically.

Save your Postgres credential

Take your postgresql:// connection string (any PostgreSQL-compatible database), then save it in your secret vault as DATABASE_URL. That name unlocks the Postgres capability automatically.

Ask in plain language

Ask for the combined workflow in plain language. Your AI does the whole chain across any API and Postgres, and only the result comes back.

# add this one URL to Claude, ChatGPT, or Gemini https://universalbench-mcp.penantiaglobal.workers.dev/u/<your-key> # save each credential once in your secret vault API_TOKEN = sk_your_key_here DATABASE_URL = postgresql://user:password@host:5432/dbname
UniversalBench dashboard secret vault: enter the secret name on the left, paste the secret value on the right, then save
Every credential goes in your UniversalBench secret vault once. Enter the secret name on the left, paste the secret value on the right, then Save.

How any API and Postgres work together

Your AI can call any API you use and store the response in your database, so external data lands in your own tables. Behind one MCP URL, UniversalBench runs the work across both tools and returns only the result, so the back and forth never fills your chat. Tokens you save are referenced as placeholders in the request header and substituted at call time, so they never reach the model.

Frequently asked questions

How do I connect any API and Postgres to my AI?

Add the one UniversalBench MCP URL, then save each tool's credential once in your secret vault (API_TOKEN, DATABASE_URL). After that you ask in plain language and your AI uses both.

Is there a single integration that does both?

Yes. UniversalBench is one MCP server that handles any API, Postgres, and many other tools behind the same connection, so you set it up once rather than wiring two separate integrations.

Does this work with ChatGPT and Gemini?

Yes. It connects through one standard MCP link, so it works with Claude, ChatGPT, Gemini, and any MCP-compatible AI.

Related

Connect any API and Postgres free

One URL, first 1,000 calls free, no credit card.

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