Fireworks AI Connector for AI agents.
6 live capabilities
Run high-speed LLM inference and generate images or embeddings from your favorite AI client.
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Why people use Fireworks AI
Fireworks AI for High-Speed LLM Inference and Multi-Modal Tasks
With this Connector, you just tell your agent what to do. You can jump from chat to image generation or transcription in a single conversation and get immediate results, making it much faster to prototype your features.
What Vinkius changes
You get a direct bridge to Fireworks AI's inference engine inside your favorite AI client.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Building a RAG system
A developer asks the agent to generate embeddings for a folder of PDFs to set up a semantic search index.
- Real-world use case 02
Multi-modal content creation
A social media manager asks the agent to generate an image and then write a caption for it in one go.
- Real-world use case 03
Rapid model benchmarking
An engineer asks the agent to compare responses from three different models to see which handles technical instructions best.
Complete set · 6capabilities
The complete Fireworks AI capability set.
These are the exact actions your AI can choose when you ask it to work with Fireworks AI.
01—03
3 capabilities in this set.
Part of 6 available through Fireworks AI.
- 01 Capability
Embed
Create multi-dimensional vector representations for your text data to power semantic search.
- 02 Capability
List models
Pull a list of all available models to find the right IDs and versions for your project.
- 03 Capability
Image
Create high-fidelity images from text prompts using Fireworks AI's hosted models.
04—06
3 capabilities in this set.
Part of 6 available through Fireworks AI.
- 04 Capability
Chat
Send messages to models and get back natural language responses for conversational apps.
- 05 Capability
Completion
Generate text continuations for instructions or prompts using various open-source models.
- 06 Capability
Transcribe
Turn audio files into text by providing a public URL for processing by speech models.
Set up in minutes
One URL. Then ask Fireworks AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Fireworks AI 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_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 Fireworks AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Fireworks AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 Fireworks AI URL.
- Step 03
Save and start
Save the connection and enable Fireworks AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"fireworks-ai": {
"url": "https://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 Fireworks AI
Open Agent mode in chat and ask: "Using Fireworks AI, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"fireworks-ai": {
"url": "https://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 Fireworks AI
Ask Copilot: "Using Fireworks AI, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"fireworks-ai": {
"url": "https://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 Fireworks AI
Open Cascade and ask: "Using Fireworks AI, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"fireworks-ai": {
"url": "https://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 Fireworks AI
Ask Cline: "Using Fireworks AI, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add fireworks-ai --transport http "https://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 Fireworks AI
Ask Claude: "Using Fireworks AI, show me...". 6 tools are ready
Where the request belongs
Work Fireworks AI can move forward.
This is for AI engineers and developers who need to move quickly between different models and modalities without the friction of manual API management.
AI Engineer
Testing different open-source models for chat and completion tasks during the development cycle.
Data Scientist
Generating embeddings for large datasets to build and test RAG pipelines directly from the IDE.
Product Manager
Prototyping multi-modal features like image generation or audio transcription for new product ideas.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Access powerful AI models for image generation, text-to-speech, and transcription via serverless GPU infrastructure.
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Orchestrate Lingyi Wanwu AI models. manage chat completions, embeddings, and monitor Yi model performance directly from any AI agent.
Together AI
Access 100+ open-source models for chat, image generation, and fine-tuning. Power your AI agents with Llama 3.3, Flux, and more.
Bring your own AI
Change the model, client or framework. Keep Fireworks AI 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 Fireworks AI.
The practical details behind the request, access and result.
Does the Fireworks AI MCP support image generation?
Yes, you can use it to create high-fidelity images from text prompts directly through your AI client.
Can I use this for RAG and embeddings?
Definitely. It includes a capability to generate multi-dimensional vector representations for your text data to power semantic search.
Is it compatible with Cursor and Windsurf?
Yes, it works with any MCP-compatible client, including Cursor, Windsurf, and Claude.
How do I get my API key for Fireworks AI?
You can find your key in your Fireworks AI Dashboard under the API Keys section.
Can I list all the models available?
Yes, you can ask your agent to list all the models to see which ones are currently active and available for use.
Does it support audio transcription?
It does. You can provide a public URL to an audio file, and the Connector will return the text transcript.
Can my agent perform semantic searches using Fireworks AI embeddings?
Yes. Use the 'embed' capability. Provide a JSON array of text strings, and the agent will retrieve multi-dimensional vector representations. You can then use these vectors to perform semantic similarity matches within your database.
How do I list all available LLM and image models via chat?
Use the 'list_models' capability. Your agent will enumerate the high-speed open-source and proprietary models hosted by Fireworks AI, providing the IDs and versions needed for your inference requests.
Can I generate high-fidelity images through the agent using Fireworks AI?
Absolutely. Use the 'image' capability. Provide your text prompt, and the agent will command synchronous inference against Fireworks-hosted image models to deliver high-quality visual content natively.
One connection away
Give your agent a direct line to Fireworks AI.
Connect Fireworks AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available