How to Use the Fireworks AI MCP in Cursor

Q: Can Cursor generate code using Llama-3 through Fireworks AI?

Yes. Cursor uses the chat and completion tools to run prompts through Llama-3 and other open models hosted on Fireworks AI, writing the outputs directly into your active Cursor workspace.

Q: Does Cursor support audio transcription via Fireworks AI?

Yes, the agent in Cursor can use the transcribe tool to turn audio files in your project directory into markdown text files instantly via the Fireworks AI audio engine.

Q: How do I check which Fireworks AI models are currently available in my Cursor editor?

The Cursor agent uses the listmodels tool to fetch the current roster of open-source models from the Fireworks AI API, letting you switch between them on the fly in your Cursor chat.

Feed real-time open-source model outputs and vector embeddings directly into your Cursor editor using this Fireworks AI MCP Server.

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Connect Fireworks AI MCP to Cursor

Create your Vinkius account to connect Fireworks AI to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fireworks AI with Cursor

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Claude

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Generate code in Cursor using Fireworks AI models

Stop writing boilerplate by hand. This Fireworks AI MCP Server lets Cursor run the `completion` and `chat` tools to generate functional code blocks using the fastest open weights models available on the Fireworks AI platform. Because Cursor runs in agent mode, it can directly read your active file, hit the Fireworks AI completion endpoint, and inject the generated code right where your cursor is flashing.

Search your codebase with Cursor and vector embeddings

When dealing with massive repos, use Cursor to trigger the `embed` tool via this Fireworks AI MCP. This generates vector representations of your code blocks, allowing the Cursor agent to locate relevant functions across hundreds of files. Instead of relying on dumb string matches, your Cursor editor gains a deep semantic understanding of your project structure using Fireworks AI embeddings. It makes refactoring and debugging complex codebases significantly faster inside the Cursor workspace.

Generate design assets and audio transcripts in Cursor

Need placeholder graphics or need to transcribe a voice memo containing feature specs? Cursor can call the Fireworks AI `image` and `transcribe` tools to handle these tasks without forcing you to open a browser. The Cursor agent takes your spoken ideas, converts them to clean text via Fireworks AI transcription, and then uses that text to generate UI mockups. It keeps your entire development loop self-contained within Cursor.

Setup guide

Set up Fireworks AI MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Fireworks AI MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Fireworks AI transactions." If the MCP tools are loaded correctly, Cursor will call the Fireworks AI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "fireworks-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fireworks AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Fireworks AI MCP in Cursor

Add the server configuration to your global or project-specific `mcp.json` file in Cursor. Once saved, enable Agent mode in your Cursor editor chat to start using the Fireworks AI tools.

Yes. Cursor uses the `chat` and `completion` tools to run prompts through Llama-3 and other open models hosted on Fireworks AI, writing the outputs directly into your active Cursor workspace.

Yes, the agent in Cursor can use the `transcribe` tool to turn audio files in your project directory into markdown text files instantly via the Fireworks AI audio engine.

The Cursor agent uses the `list_models` tool to fetch the current roster of open-source models from the Fireworks AI API, letting you switch between them on the fly in your Cursor chat.

Your local files and vector embeddings are processed securely over HTTPS directly to the Fireworks AI API. Vinkius runs the server in an ephemeral sandbox, meaning your Cursor code snippets and generated images are never cached or stored.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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