MCP For Claude Marketplace
Fauna (Serverless DB)

Fauna (Serverless DB) MCP Connector for Claude

F

Execute FQL queries directly against your Fauna serverless database from any AI agent to manage collections, documents, and indexes.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Fauna serverless database to any AI agent and manage your data infrastructure through natural conversation and powerful FQL queries.

What you can do

  • Execute FQL — Run any Fauna Query Language (FQL) command to read, create, update, or delete data across your database.
  • Data Exploration — List collections, query indexes, and fetch specific documents directly from your AI interface.
  • Parameterized Queries — Use the arguments field to pass complex JSON data safely into your FQL execution logic.
  • Schema Management — Inspect and manage your database schema, including collections and indexes, using standard FQL commands.

How it works

  1. Subscribe to this server
  2. Enter your Fauna Secret (and optional Region URL)
  3. Start managing your serverless data from Claude, Cursor, or any MCP-compatible client

No more switching to the Fauna dashboard for quick data lookups or schema checks. Your AI acts as a database administrator and developer assistant.

Who is this for?

  • Backend Developers — test FQL queries and verify data state directly from the code editor.
  • Data Engineers — perform quick data migrations or cleanup tasks using natural language prompts.
  • Product Teams — retrieve real-time usage metrics or user data without needing a custom admin panel.
faunafqlserverless-databasenosqldatabase-management

1 tools expose this connector's capabilities to your AI agent.

execute_fql

Can be used for reading, creating, updating, or deleting data depending on the FQL string provided. Execute a Fauna Query Language (FQL) query

See how to talk to your AI agent using Fauna (Serverless DB).

List all documents in the 'Products' collection using FQL.

I'll execute `Products.all()` to fetch your documents. [Agent returns list of product documents from Fauna]

Find a user document where the email is 'dev@example.com'.

Running FQL query: `Users.byEmail('dev@example.com')`. I found one document with ID 3849201...

Create a new entry in the 'Logs' collection with the message 'System started'.

Executing `Logs.create({ message: 'System started' })`. The document has been successfully created with a new timestamp.

Yes. The `execute_fql` tool allows any valid FQL command. If your Fauna Secret has the appropriate permissions (e.g., 'server' or 'admin' role), you can create, update, and delete data.

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