AgentDocs · Features · Database
AgentDocs · Database

A friendly database, built for AI agents

AgentDocs Database gives you a table with statuses, owners and views — the structured-data tool you know from Airtable and Notion databases — but built so your AI agents query it over MCP. A real database underneath, no raw schemas to wrangle. No per-seat fees.

your agent adds a row
In short

AgentDocs Database is an Airtable- and Notion-database-style table built for AI agents. You get statuses, owners and views — like a modern structured-data tool — but your AI agent (Claude or ChatGPT) queries it directly over MCP, in plain language, with no raw schemas to learn. There's a real structured database underneath, and there are no per-seat fees.

Why teams use Database

The familiar structured-table shape, rebuilt so your agent does the querying.

Statuses & owners

Track work with the fields you'd expect — statuses, owners, dates — for pipelines, trackers and registers.

Views

Filter and group records into views, so the same data answers different questions for different people.

A real database underneath

Not a flat list — a structured database, so relationships and queries hold up as your data grows.

Agents query at speed

Your agent queries records over MCP and tends to return answers quickly, even across larger tables.

No raw schemas

Your agent works with friendly fields and plain language — no need to hand it raw table schemas.

No per-seat fees

Connect once over MCP. No install, no card, no paying per head to give every agent access.

How it works

Three steps and your agent has a database to query.

1 · Connect

Add the AgentDocs MCP connector to Claude or ChatGPT and sign in with Google.

2 · Ask

Ask your agent to add records, change a status or pull a filtered view — in plain language, over MCP.

3 · Get answers

Your agent queries the structured database and returns the records you asked for, without raw schemas.

Database FAQ

Is AgentDocs Database an Airtable or Notion-database alternative?

Yes — it's an Airtable- and Notion-database-style table (statuses, owners and views), built agent-first so Claude and ChatGPT query it over MCP. A real structured database underneath, with no per-seat fees.

Do AI agents need to understand raw schemas?

No. Your agent works with friendly fields like statuses, owners and views rather than raw table schemas, and queries the database in plain language over MCP. A real structured database sits underneath.

How much does it cost?

AgentDocs has a free tier and no per-seat pricing. Connect over MCP and start — no install, no card.

Give your agent a database

Add AgentDocs to Claude or ChatGPT and let your agent query a real structured database in plain language.

Add AgentDocs to Claude →
https://getagentdocs.com/mcp

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