How to integrate Fireworks AI MCP with Codex

Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With Fireworks AI MCP integration, you can draft, triage, summarise emails, and much more, all without leaving the terminal or the app, whichever you prefer.

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Api Key

Fireworks AI is a serverless AI platform for model inference, fine-tuning, deployments, datasets, and evaluations. Use it to run fast open-model workflows without managing GPU infrastructure.

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Introduction

Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With Fireworks AI MCP integration, you can draft, triage, summarise emails, and much more, all without leaving the terminal or the app, whichever you prefer.

Also integrate Fireworks AI with

Why use Composio?

Apart from a managed and hosted MCP server, you will get:

  • CodeAct: A dedicated workbench that allows GPT to write its code to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
  • Large tool responses: Handle them to minimise context rot.
  • Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so GPTs aren't overwhelmed by tools you don't need.

How to install Fireworks AI MCP in Codex

Run the setup command

Run this command in your terminal to add the Composio MCP server to Codex.

Terminal

It will initiate the authentication in a browser window, authorize Codex to access your Composio account.

Composio authentication page

(Optional) Authenticate with OAuth

To authenticate manually, run the login command to open a browser window and authorize Codex to access your Composio account.

bash
codex mcp login composio

Verify the connection

Run codex mcp list to confirm Composio appears as a registered MCP server.

bash
codex mcp list

Codex App

Codex App follows the same approach as VS Code.

  1. Click ⚙️ on the bottom left → MCP Servers → + Add servers → Streamable HTTP:
  2. Fill the header and Key fields with { "x-consumer-api-key" = "ck_*******" }.
  3. The Key is the Composio API key, that you can find on dashboard.composio.dev
  4. Click on Authenticate and authorize Codex to your Composio account and you're all set.
Codex App MCP setup
  1. Restart and verify if it's there in .codex/config.toml
bash
[mcp_servers.composio]
url = "https://connect.composio.dev/mcp"
http_headers = { "x-consumer-api-key" = "ck_*******" }

What is the Fireworks AI MCP server, and what's possible with it?

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.

Conclusion

You've successfully integrated Fireworks AI with Codex using Composio's MCP server. Now you can interact with Fireworks AI directly from your terminal, VS Code, or the Codex App using natural language commands.

Key benefits of this setup:

  • Seamless integration across CLI, VS Code, and standalone app
  • Natural language commands for Fireworks AI operations
  • Managed authentication through Composio
  • Access to 20,000+ tools across 1000+ apps for cross-app workflows
  • CodeAct workbench for complex tool chaining

Next steps:

  • Try asking Codex to perform various Fireworks AI operations
  • Explore cross-app workflows by connecting more toolkits
  • Build automation scripts that leverage Codex's AI capabilities
TOOLS

Supported Tools

Every Fireworks AI action and event your agent gets out of the box.

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.

FAQ

Frequently asked questions

With a standalone Fireworks AI MCP server, the agents and LLMs can only access a fixed set of Fireworks AI tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Fireworks AI and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Codex fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Fireworks AI tools.

Yes, absolutely. You can configure which Fireworks AI scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Fireworks AI data and credentials are handled as safely as possible.

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