The Fireworks AI MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Fireworks AI account. It provides structured and secure access to model inference, embeddings, reranking, models, deployments, and account information, so your agent can generate responses, create embeddings, rank documents, inspect models, and monitor deployments on your behalf.
- Conversational model responses: Have your agent generate chat completions or other model responses from your prompts and role-based conversations.
- Semantic embeddings: Instruct your agent to turn text into embedding vectors for search, clustering, recommendations, or similarity analysis.
- Relevant document ranking: Let the agent rank a collection of documents against a query so the most useful results appear first.
- Model discovery and inspection: Direct your agent to list available models and review the metadata and status of a specific model.
- Account and deployment visibility: Have your agent find accessible accounts, list deployments, and inspect deployment configuration, serving capacity, and status.
