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Fauna (Serverless DB) MCP Server for WindsurfGive Windsurf instant access to 1 tools to Execute Fql

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Windsurf brings agentic AI coding to a purpose-built IDE. Connect Fauna (Serverless DB) through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Ask AI about this MCP Server for Windsurf

The Fauna (Serverless DB) MCP Server for Windsurf is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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Classic Setup·json
{
  "mcpServers": {
    "fauna-serverless-db": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Fauna (Serverless DB) MCP Server

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

Windsurf's Cascade agent chains multiple Fauna (Serverless DB) tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 1 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

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.

The Fauna (Serverless DB) MCP Server exposes 1 tools through the Vinkius. Connect it to Windsurf in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Fauna (Serverless DB) tools available for Windsurf

When Windsurf connects to Fauna (Serverless DB) through Vinkius, your AI agent gets direct access to every tool listed below — spanning fauna, fql, serverless-database, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

execute

Execute fql on Fauna (Serverless DB)

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

Connect Fauna (Serverless DB) to Windsurf via MCP

Follow these steps to wire Fauna (Serverless DB) into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
02

Add the server

Paste the JSON configuration above into mcp_config.json
03

Save and reload

Windsurf will detect the new server automatically
04

Start using Fauna (Serverless DB)

Open Cascade and ask: "Using Fauna (Serverless DB), help me...". 1 tools available

Why Use Windsurf with the Fauna (Serverless DB) MCP Server

Windsurf provides unique advantages when paired with Fauna (Serverless DB) through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 1 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Fauna (Serverless DB) + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Fauna (Serverless DB) MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Fauna (Serverless DB) and generate models, types, or handlers based on real API responses

02

Live debugging: query Fauna (Serverless DB) tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Fauna (Serverless DB) and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Fauna (Serverless DB) data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Fauna (Serverless DB) in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Fauna (Serverless DB) immediately.

01

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

02

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

03

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

Troubleshooting Fauna (Serverless DB) MCP Server with Windsurf

Common issues when connecting Fauna (Serverless DB) to Windsurf through Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Fauna (Serverless DB) + Windsurf FAQ

Common questions about integrating Fauna (Serverless DB) MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

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