Fast LLM inference via Fireworks AI — generate text, run chat completions, and access fine-tuned models at speed.
Use with AI AssistantsMCP
Connect Claude, Cursor, or any MCP-compatible client — then call tools directly
① Add This MCP Server
Paste into your AI client config — then all its tools are available instantly.
{
"mcpServers": {
"fireworks-ai": {
"url": "https://mcp.aerostack.dev/s/aerostack/mcp-fireworks-ai",
"headers": {
"Authorization": "Bearer YOUR_AEROSTACK_TOKEN"
}
}
}
}Replace YOUR_AEROSTACK_TOKEN with your API token from the dashboard.
② Call a Tool
Ask your AI assistant to call a specific tool, or send raw JSON-RPC:
Natural Language Prompt
“Use the _ping tool to verify fireworks ai credentials by calling a lightweight read endpoint. used internally by aerostack to validate credentials”
Using a Workspace?
Add this MCP to your Workspace — your team shares one token, secrets are stored securely, and every AI agent in the workspace can call it without per-user setup.
Fast LLM inference via Fireworks AI — generate text, run chat completions, and access fine-tuned models at speed.
Live endpoint: https://mcp.aerostack.dev/s/aerostack/mcp-fireworks-ai
This MCP server gives AI agents access to Fireworks AI via 5 tools. Connect it to any Aerostack workspace and your agents can interact with Fireworks AI directly.
| Tool | Description |
|---|---|
chat_completion | Fast chat completion using Fireworks AI. Supports Llama, Mixtral, and other open-source models with OpenAI-compatible API. Default model: llama-v3p1-8b-instruct. |
text_completion | Raw text completion using Fireworks AI. Continues the provided prompt without chat formatting. |
create_embedding | Generate text embeddings using Fireworks AI nomic-embed-text-v1.5. Returns dense vectors for semantic search, clustering, and similarity. |
list_models | List all available models on Fireworks AI including chat, completion, embedding, and image generation models. |
image_generation | Generate images using Stable Diffusion XL on Fireworks AI. Returns image URLs. |
| Variable | Required | Description |
|---|---|---|
FIREWORKS_API_KEY | Yes | Your FIREWORKS API KEY from the service's developer settings |
Add the following secrets under Project → Secrets:
FIREWORKS_API_KEYOnce added, every AI agent in your workspace can use Fireworks AI tools automatically.
curl -X POST https://mcp.aerostack.dev/s/aerostack/mcp-fireworks-ai \
-H 'Content-Type: application/json' \
-H 'X-Mcp-Secret-FIREWORKS-API-KEY: your-fireworks-api-key' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"chat_completion","arguments":{}}}'
MIT
Live Endpoint
https://mcp.aerostack.dev/s/aerostack/mcp-fireworks-ai
Sub-50ms globally · Zero cold start
@aerostack
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Yes. The Fireworks Ai MCP includes a create_embedding tool that lets Claude create embeddings in your Fireworks Ai account from a plain-English prompt. You can also update and delete embeddings — no Fireworks Ai UI needed.
Yes. The Fireworks Ai MCP includes tools to list and retrieve models from your Fireworks Ai account. Claude can filter, sort, and summarize models based on your instructions.
Yes. The Fireworks Ai MCP uses the open Model Context Protocol standard, so it works in Claude, Cursor, Windsurf, and any other MCP-compatible AI tool. All 5 Fireworks Ai tools are available everywhere you connect it — install once on Aerostack.
Yes. Aerostack hosts the Fireworks Ai MCP with encrypted credential storage and per-account authentication. Your Fireworks Ai credentials are never shared with Claude's conversation — they're used server-side only.