How to integrate Retellai MCP with Codex

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Introduction

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

Also integrate Retellai 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 Retellai 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 Retellai MCP server, and what's possible with it?

The Retellai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Retellai account. It provides structured and secure access to your call records, phone numbers, and conversation transcripts, so your agent can perform actions like retrieving call details, managing phone numbers, initiating outbound calls, and analyzing voice data on your behalf.

  • Retrieve and analyze call records: Your agent can fetch detailed call logs, filter by agent or time, and surface insights from past conversations.
  • Initiate outbound and web-based calls: Easily direct your agent to start new phone or web calls between specific numbers or agents, supporting various business workflows.
  • Manage phone numbers and assignments: Buy, update, or delete phone numbers, and bind them to agents for streamlined inbound and outbound call handling.
  • Access and review call transcripts and details: Let your agent drill down into specific calls, pulling transcripts and metadata for compliance, training, or analytics.
  • Explore and configure voice settings: Fetch detailed information about available voice options, including provider, accent, gender, and preview audio for customization of call experiences.

Supported Tools & Triggers

Tools
Add community voiceAdd a community voice from ElevenLabs to your Retell voice library.
Add sources to knowledge baseTool to add sources (documents, URLs, text) to an existing knowledge base in Retell AI.
Buy a new phone number bind agentsThis endpoint allows purchasing a new phone number with a specified area code and binding it to designated agents for inbound and outbound calls.
Create Voice AI AgentCreate a new voice AI agent with specified configuration.
Create a new outbound phone callInitiate an outbound call by POST to '/v2/create-phone-call'.
Create a new web callThe /v2/create-web-call endpoint creates a web call with a unique agent ID, returning call details like type, token, call ID, and status in JSON format, with a 201 response.
Create Batch TestTool to create a batch test job that runs multiple test cases against an agent.
Create a new chat sessionTool to create a new chat session with a chat agent.
Create a new chat agentCreate a new chat agent with specified configuration.
Create chat completionTool to create a chat completion for an existing chat session, generating the agent's response to a user message.
Create conversation flowCreate a new Conversation Flow that can be attached to an agent for response generation.
Create conversation flow componentCreates a new shared conversation flow component at POST '/create-conversation-flow-component'.
Create a new knowledge baseTool to create a new knowledge base in Retell AI with texts, files, and URLs.
Create Retell LLM Response EngineCreate a new Retell LLM Response Engine that can be attached to an agent.
Create Test Case DefinitionTool to create a test case definition for agent QA testing in Retell AI.
Delete agentDeletes an existing agent by its unique identifier.
Delete callDelete a specific call and its associated data by call ID.
Delete chat agentDelete an existing chat agent by its unique identifier.
Delete conversation flowDelete a conversation flow and all its versions.
Delete conversation flow componentDelete a shared conversation flow component.
Delete knowledge baseDelete an existing knowledge base by its unique identifier.
Delete knowledge base sourceDelete an existing source from a knowledge base.
Delete phone numberTool to delete an existing phone number from Retell AI.
Delete Retell LLMDelete an existing Retell LLM Response Engine by its unique identifier.
Delete test case definitionDelete a test case definition by its unique identifier.
End chatTool to end an active chat session.
Retrieve details of a specific agentRetrieve details of a specific agent by its unique identifier.
Get agent versionsTool to retrieve all versions of a specific agent.
Get batch testRetrieve details and results of a specific batch test job.
Get chat detailsTool to retrieve details of a specific chat session by chat ID.
Retrieve details of a specific chat agentRetrieve details of a specific chat agent by its unique identifier.
Get all versions of a chat agentRetrieve all versions of a specific chat agent by its unique identifier.
Get concurrencyRetrieves the current concurrency and concurrency limits for the organization.
Get Conversation FlowRetrieve details of a specific Conversation Flow by its ID.
Get conversation flow componentRetrieves a shared conversation flow component by its unique identifier.
Get knowledge baseRetrieve details of a specific knowledge base by its unique identifier.
Retrieve details of a specific Retell LLMRetrieve details of a specific Retell LLM Response Engine by its unique identifier.
Import phone numberTool to import a phone number from custom telephony and bind agents to it.
List agentsRetrieves a list of all agents associated with the account.
List all chatsTool to retrieve a list of all chats associated with the account.
List all phone numbersRetrieves a list of all phone numbers associated with the account.
List batch testsTool to list batch test jobs for a response engine.
List chat agentsTool to retrieve a list of all chat agents associated with the account.
List conversation flow componentsRetrieves a list of all shared conversation flow components.
List conversation flowsTool to list all conversation flows that can be attached to an agent.
List knowledge basesTool to retrieve all knowledge bases associated with the account.
List Retell LLMsTool to list all Retell LLM Response Engines that can be attached to an agent.
List test case definitionsTool to list test case definitions for a response engine (Retell LLM or Conversation Flow).
List test runsTool to list all test case jobs (test runs) for a batch test job.
List voicesList all voices available to the user.
Publish agentPublishes the latest version of the agent and creates a new draft agent with a newer version.
Publish chat agentPublishes the latest version of the chat agent and creates a new draft chat agent with a newer version.
Register phone callRegister a phone call for custom telephony integration with Retell AI.
Retrieve call detailsTool to retrieve call details with filtering options.
Retrieve call details by idRetrieve call details by ID for web/phone calls, including type, agent ID, status, timestamps, and web access token; covering responses from success to server errors.
Retrieve phone number detailsTool to retrieve details of a specific phone number from Retell AI.
Retrieve details of a specific voiceTool to retrieve details of a specific voice by its voice_id.
Search community voiceSearch for community voices from voice providers.
Update agentUpdate an existing agent's latest draft version.
Update callUpdate an active call's parameters such as metadata, dynamic variables, or data storage settings.
Update chat agentUpdate an existing chat agent configuration.
Update chat metadataTool to update metadata and sensitive data storage settings for an existing chat.
Update conversation flowUpdate an existing conversation flow configuration.
Update conversation flow componentUpdate an existing shared conversation flow component by its ID.
Update phone number configurationUpdate agent bound to a purchased phone number.
Update Retell LLM Response EngineUpdate an existing Retell LLM Response Engine by its unique identifier.
Update test case definitionUpdate a test case definition for agent testing.

Conclusion

You've successfully integrated Retellai with Codex using Composio's MCP server. Now you can interact with Retellai 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 Retellai 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 Retellai operations
  • Explore cross-app workflows by connecting more toolkits
  • Build automation scripts that leverage Codex's AI capabilities

How to build Retellai MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Retellai MCP?

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

Can I use Tool Router MCP with Codex?

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 Retellai tools.

Can I manage the permissions and scopes for Retellai while using Tool Router?

Yes, absolutely. You can configure which Retellai 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.

How safe is my data with Composio Tool Router?

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 Retellai data and credentials are handled as safely as possible.

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