otherapi_key

Fireworks AI

Fireworks AI provides APIs for serverless model inference, fine-tuning, deployments, datasets, evaluations, and account management.

Integration

Vendor
Fireworks AI
Category
other
Auth
API_KEY
Tools
9
Composio slug
fireworks_ai

Tools

  • Create Chat Completion

    Generate one non-streaming OpenAI-compatible chat completion from role-based messages using a caller-supplied Fireworks model or deployment ID.

  • Create Embeddings

    Create embedding vectors for one or more caller-provided inputs using a caller-supplied Fireworks embedding model.

  • Generate Model Response

    Generate one non-streaming Responses API result, optionally continuing a stored response or using function, MCP, or SSE tools; storage is off by default.

  • Get Deployment

    Return configuration and serving status for one Fireworks deployment without scaling or modifying it.

  • Get Model

    Return metadata and status for one model resource in a Fireworks account; this does not test whether the model can serve inference.

  • List Accounts

    Return one page of Fireworks accounts accessible to the API key so an agent can obtain account IDs for model and deployment discovery.

  • List Deployments

    Return one page of deployment resources in a Fireworks account for deployment ID discovery and serving-capacity and status inspection.

  • List Models

    Return one page of model resources in a Fireworks account for model-ID discovery and status inspection; availability for inference is not guaranteed.

  • Rerank Documents

    Rank a provided document list by relevance to a query using an optional caller-supplied Fireworks reranker model.

Setup

  1. Create or open a Switchy Project.
  2. Open Integrations and connect Fireworks AI.
  3. Authorise through api_key. Switchy stores the connection against your org.
  4. Everyone in the Project can now @-mention the Fireworks AI tools in chat.

What teammates see: by default, memories from Fireworks AI are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.

Works well with

Top models

Compatibility data appears once enough Projects have used this MCP together with a given model.

How Switchy teams use it

Not enough Projects yet to publish anonymised usage stats (we require ≥ 50 Projects per week).

Starter prompts

Starter prompts for this model will land here soon.

More other MCPs

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Data last verified 7 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.