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How to integrate Parallel MCP with Codex

Connect Codex to Parallel MCP. Find top articles on generative ai trends, summarize recent news about electric vehicles, and more using natural language, with authentication handled for you.

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Parallel

Api Key

Parallel is a Task API for automated, structured web research and data extraction. It transforms natural language queries into precise, schema-driven outputs for streamlined workflows.

42 Tools

Managed auth

Connect Parallel without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

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Explore the MCP Gateway

Introduction

Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With the Parallel MCP integration, Codex can run research tasks, search and extract web content, find matching entities, set up monitors, and generate grounded answers, all without leaving the terminal or the app, whichever you prefer.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Parallel with

Claude Code Claude Cowork OpenAI Agents SDK Claude Agent SDK OpenClaw Hermes Atomic Agent Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI Pydantic AI AutoGen

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 1700+ 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 Parallel 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.

(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.

Click ⚙️ on the bottom left → MCP Servers → + Add servers → Streamable HTTP:
Fill the header and Key fields with { "x-consumer-api-key" = "ck_*******" }.
The Key is the Composio API key, that you can find on dashboard.composio.dev
Click on Authenticate and authorize Codex to your Composio account and you're all set.

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_*******" }

Try it

Ask Codex for a Parallel task. The first time, Composio asks you to connect your Parallel account.

For example, ask it to:

"Find top articles on generative AI trends"
"Summarize recent news about electric vehicles"
"Batch search for competitors' product launches"

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

The Parallel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Parallel account. It provides structured and secure access to advanced web research automation, so your agent can perform actions like launching batch research tasks, running semantic searches, monitoring task progress, and generating research suggestions on your behalf.

Automated web research task creation: Instantly create structured research tasks or batch multiple queries for parallel execution, saving time and effort.
Semantic search across multiple topics: Direct your agent to run parallel semantic searches and retrieve top-matching documents or data for several queries at once.
Real-time task group monitoring: Let your agent stream live updates about the progress, completion, or status of ongoing research task groups.
Context-driven research suggestions: Have the agent suggest the next best research tasks based on your project or intent, keeping your workflow efficient and on track.
Task group retrieval and management: Fetch detailed information about specific research task groups to review results or track progress seamlessly.

Conclusion

You've successfully integrated Parallel with Codex using Composio's MCP server. Now you can interact with Parallel 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 Parallel operations
Managed authentication through Composio
Access to 20,000+ tools across 1700+ apps for cross-app workflows
CodeAct workbench for complex tool chaining

Next steps:

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

TOOLS

Supported Tools

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

Add Enrichment to FindAll Run

Tool to add an enrichment to a FindAll run.

Add Runs to Task Group

Tool to initiate multiple task runs within a TaskGroup.

Cancel FindAll Run

Tool to cancel an active FindAll run by findall_id.

Create Chat Completions

Tool to get realtime chat completions from Parallel AI.

Create Monitor

Tool to create a web monitor that periodically runs the specified query.

Create Task Group

Tool to create a new task group.

Create Task Run

Tool to create and initiate a task run.

Delete Monitor

Tool to delete a monitor, stopping all future executions.

Extend FindAll Run

Tool to extend a FindAll run by adding additional matches to the current match limit.

Extract Content from URLs

Tool to extract relevant content from specific web URLs.

Extract Web Content

Extract excerpts or full content from known web URLs with Parallel's current stable Extract API.

Fetch Task Group Runs

Fetch Task Group run events from a resumable stream, optionally filtering by status and including inputs and outputs.

Start FindAll Run

Tool to start a FindAll run.

Generate Grounded Response

Generate a synchronous answer grounded in live web research with URL citation annotations.

Get FindAll Run Result

Tool to fetch the final (or latest available) FindAll candidates and result payload for a run.

Get FindAll Run Schema

Tool to retrieve the schema configuration of a FindAll run by findall_id.

Get Monitor

Retrieve a monitor's configuration and runtime state by ID using Parallel's current stable Monitor API.

Get Task Group

Retrieve a current stable-API snapshot of a Task Group's aggregate run counts and status.

Ingest FindAll Run

Tool to transform a natural language search objective into a structured FindAll specification.

List Current Monitors

List monitors from Parallel's current stable Monitor API, newest first, with optional type and status filters.

List Monitor Events

Tool to list events for a monitor from up to the last 300 event groups.

List Monitors

List monitors with their configuration and current state.

List Task Group Runs

Collect Task Group runs from the current stable API's resumable event stream, optionally including structured inputs and outputs.

List Task Run Events

Collect progress and state events from a Task Run using the current stable API.

Make Decisions

Answer 1-100 named predicate, choice, or score questions from shared state using current web evidence.

Retrieve Event Group

Tool to retrieve an event group for a monitor.

Retrieve FindAll Run Status

Tool to retrieve status and metadata for a FindAll run by findall_id.

Retrieve Memory

Retrieve relevant memories ranked against a query, or recent memories when the query is empty or omitted.

Retrieve Monitor

Tool to retrieve a specific monitor by ID.

Retrieve Task Group

Tool to retrieve details of a specific task group.

Retrieve Task Group Run

Tool to retrieve run status by run_id for a task group.

Retrieve Task Run

Tool to retrieve run status by run_id.

Retrieve Task Run Input

Tool to retrieve the input data of a specific task run by run_id.

Retrieve Task Run Result

Tool to retrieve the result of a task run by run_id, blocking until the run completes.

Parallel Search

Tool to perform parallel semantic search.

Search Web

Search the web with Parallel's current stable Search API and return ranked results with markdown excerpts.

Simulate Event

Tool to simulate sending an event for a monitor.

Stream FindAll Events

Collect FindAll run events, including candidate discovery, matching progress and run status, and return them as a list after the event stream ends.

Stream Task Group Events

Collect Task Group events, including group status and task run updates, and return them as a list after the event stream ends.

Stream Task Run Events

Collect Task Run events, including progress updates and state changes, and return them as a list after the event stream ends.

Suggest Task

Tool to suggest tasks based on user intent.

Update Monitor

Tool to update a monitor's configuration.

FRAMEWORKS

How to build Parallel MCP Agent with another framework

Claude Code

Use Parallel MCP with Claude Code

Claude Cowork

Use Parallel MCP with Claude Cowork

OpenAI Agents SDK

Use Parallel MCP with OpenAI Agents SDK

Claude Agent SDK

Use Parallel MCP with Claude Agent SDK

OpenClaw

Use Parallel MCP with OpenClaw

Hermes

Use Parallel MCP with Hermes

Atomic Agent

Use Parallel MCP with Atomic Agent

Google ADK

Use Parallel MCP with Google ADK

LangChain

Use Parallel MCP with LangChain

Vercel AI SDK

Use Parallel MCP with Vercel AI SDK

Mastra AI

Use Parallel MCP with Mastra AI

LlamaIndex

Use Parallel MCP with LlamaIndex

CrewAI

Use Parallel MCP with CrewAI

Pydantic AI

Use Parallel MCP with Pydantic AI

AutoGen

Use Parallel MCP with AutoGen

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Firecrawl

Api Key

Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.

Tavily

Api Key

Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.

Exa

Api Key

Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.

Serpapi

Api Key

SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.

FAQ

Frequently asked questions

With a standalone Parallel MCP server, the agents and LLMs can only access a fixed set of Parallel tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Parallel 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 Parallel tools.

Yes, absolutely. You can configure which Parallel 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 Parallel data and credentials are handled as safely as possible.

Start with Parallel.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Parallel tool your agent needs.Free to start.

Start building

How to integrate Parallel MCP with Codex

Connect Parallel without auth hassles

Introduction

Also integrate Parallel with

Why use Composio?

How to install Parallel MCP in Codex

Run the setup command

(Optional) Authenticate with OAuth

Verify the connection

Codex App

Try it

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

Conclusion

Supported Tools

How to build Parallel MCP Agent with another framework

Claude Code

Claude Cowork

OpenAI Agents SDK

Claude Agent SDK

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Firecrawl

Tavily

Exa

Serpapi

Frequently asked questions

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

Can I use Tool Router MCP with Codex?

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

How safe is my data with Composio Tool Router?

Start with Parallel.It takes 30 seconds.