Fauna (Serverless DB) Connector for AI agents.
1 live capability
Manage your serverless database collections and documents through natural language.
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Why people use Fauna (Serverless DB)
Fauna (Serverless DB) for Faster Database Debugging
With this Connector, you just ask your agent to check the record. It runs the query for you and reports back instantly. You stay in your editor, keep your momentum, and get the answer you need in seconds.
What Vinkius changes
You get a direct line to your data without leaving your primary workspace.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Verifying a user sign up
A developer needs to check if a new registration hit the database.
- Real-world use case 02
Cleaning up old logs
A data engineer needs to remove entries older than 30 days.
- Real-world use case 03
Checking recent orders
A product manager wants to see the last 10 orders.
Complete set · 1capability
The complete Fauna (Serverless DB) capability set.
These are the exact actions your AI can choose when you ask it to work with Fauna (Serverless DB).
01
1 capability in this set.
Part of 1 available through Fauna (Serverless DB).
- 01 Capability
Execute fql
Run complex Fauna Query Language commands to modify or read your data. It handles the logic of your database requests based on the query string you provide.
Set up in minutes
One URL. Then ask Fauna (Serverless DB) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Fauna (Serverless DB) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hEG5bwdrY3FdPx62RCPAMcIqUBDzab1jcyYhjY8I/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Fauna (Serverless DB), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Fauna (Serverless DB) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hEG5bwdrY3FdPx62RCPAMcIqUBDzab1jcyYhjY8I/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Fauna (Serverless DB) URL.
- Step 03
Save and start
Save the connection and enable Fauna (Serverless DB) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"fauna-serverless-db": {
"url": "https://edge.vinkius.com/vk_preview_hEG5bwdrY3FdPx62RCPAMcIqUBDzab1jcyYhjY8I/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Fauna (Serverless DB)
Open Agent mode in chat and ask: "Using Fauna (Serverless DB), help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"fauna-serverless-db": {
"url": "https://edge.vinkius.com/vk_preview_hEG5bwdrY3FdPx62RCPAMcIqUBDzab1jcyYhjY8I/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Fauna (Serverless DB)
Ask Copilot: "Using Fauna (Serverless DB), help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"fauna-serverless-db": {
"url": "https://edge.vinkius.com/vk_preview_hEG5bwdrY3FdPx62RCPAMcIqUBDzab1jcyYhjY8I/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Fauna (Serverless DB)
Open Cascade and ask: "Using Fauna (Serverless DB), help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"fauna-serverless-db": {
"url": "https://edge.vinkius.com/vk_preview_hEG5bwdrY3FdPx62RCPAMcIqUBDzab1jcyYhjY8I/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Fauna (Serverless DB)
Ask Cline: "Using Fauna (Serverless DB), help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add fauna-serverless-db --transport http "https://edge.vinkius.com/vk_preview_hEG5bwdrY3FdPx62RCPAMcIqUBDzab1jcyYhjY8I/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Fauna (Serverless DB)
Ask Claude: "Using Fauna (Serverless DB), show me...". 1 tools are ready
Where the request belongs
Work Fauna can move forward.
This is for the backend developer who is tired of switching tabs to check the database, the data engineer running manual cleanup scripts, and the product manager who needs a quick look at user metrics without asking for a manual export.
Backend Developer
Testing FQL queries on the fly to see how data actually behaves before committing code.
Data Engineer
Running cleanup scripts or verifying migrations using natural language prompts.
Product Manager
Pulling real-time user metrics or checking specific account statuses without asking a dev for a manual export.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Manage SurrealDB instances. execute SurrealQL, query tables, and manage records directly from any AI agent.
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This MCP does exactly one thing: it manages documents in a single Google Firestore Collection. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.
Xata
Automate your serverless database workflows with Xata. manage organizations, projects, and branches directly from your AI agent.
LanceDB (Serverless Vector DB)
Manage vectorized data via LanceDB. perform similarity searches, create tables, and manage multi-modal embeddings.
Couchbase (Vector & NoSQL)
Manage vector search and NoSQL via Couchbase. execute N1QL queries, perform KNN vector searches, and audit documents directly from any AI agent.
DataStax Astra DB Vector
Manage Astra DB collections, documents, and perform vector similarity searches via DataStax directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Fauna connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Fauna.
The practical details behind the request, access and result.
Can the Fauna (Serverless DB) MCP help me run queries?
Yes, it lets your agent execute FQL commands to read, update, or delete data in your database using natural language.
Do I need to keep the Fauna dashboard open while using this Connector?
No, you can do almost everything through your AI client, which saves you from having to keep multiple tabs open.
Is it safe to use the Fauna (Serverless DB) MCP for data deletions?
Yes, it's safe as long as you double-check the queries your agent generates before confirming the action.
Can I use the Fauna (Serverless DB) MCP with Cursor?
Yes, it works perfectly with Cursor, Claude, and any other MCP-compatible client.
Does the Fauna (Serverless DB) MCP support my specific region?
Yes, you just need to provide your Region URL during the initial setup process.
Can I manage my database schema with the Fauna (Serverless DB) MCP?
Yes, it can inspect and manage your collections and indexes using standard FQL commands.
Can I perform write operations like creating or updating documents?
Yes. The execute_fql capability 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.
How do I handle complex query arguments?
You can use the optional arguments parameter in the execute_fql capability. Pass a JSON object containing your variables, and reference them within your FQL string.
Does this support Fauna's regional endpoints?
Yes. You can provide a FAUNA_REGION_URL (e.g., for US or EU regions) as an optional credential during setup to ensure the agent connects to the correct database cluster.
One connection away
Give your agent a direct line to Fauna.
Connect Fauna once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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