Fast inference for open-source models.
## Fireworks AI MCP Server: Blazing Fast Model Inference The **Fireworks AI MCP Server** connects Google Antigravity to Fireworks' optimized inference platform. This integration provides access to the fastest open-source model inference with sub-200ms latency for leading models like Llama, Mixtral, and many more. ### Why Fireworks MCP? Fireworks delivers exceptional inference performance: - **Fastest Inference**: Sub-200ms latency for most models - **Cost Effective**: Up to 10x cheaper than alternatives - **Model Variety**: 50+ open-source models available - **Function Calling**: Full tool use support - **Antigravity Native**: Seamless AI-assisted development ### Key Features #### 1. Fast Completions ```python from fireworks.client import Fireworks client = Fireworks() response = client.chat.completions.create( model="accounts/fireworks/models/llama-v3p1-70b-instruct", messages=[ {"role": "user", "content": "Explain microservices architecture"} ], max_tokens=1000 ) print(response.choices[0].message.content) ``` #### 2. Streaming Responses ```python # Real-time streaming for interactive applications stream = client.chat.completions.create( model="accounts/fireworks/models/mixtral-8x7b-instruct", messages=[{"role": "user", "content": prompt}], stream=True ) for chunk in stream: if chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="") ``` #### 3. Function Calling ```python response = client.chat.completions.create( model="accounts/fireworks/models/firefunction-v2", messages=[{"role": "user", "content": "Get the current stock price of AAPL"}], tools=[{ "type": "function", "function": { "name": "get_stock_price", "parameters": { "type": "object", "properties": {"symbol": {"type": "string"}} } } }] ) ``` ### Configuration ```json { "mcpServers": { "fireworks": { "command": "npx", "args": ["-y", "@anthropic/mcp-fireworks"], "env": { "FIREWORKS_API_KEY": "your-api-key" } } } } ``` ### Use Cases **Real-Time Chat**: Build responsive chatbots and assistants with minimal latency for smooth user experiences. **Cost Optimization**: Run high-volume inference workloads at a fraction of typical costs while maintaining quality. **Model Experimentation**: Quickly test different open-source models to find the best fit for your use case. The Fireworks MCP Server brings optimized, cost-effective inference to Antigravity for demanding AI applications.
{
"mcpServers": {
"fireworks": {}
}
}