Parallel Task MCP

Name: Parallel Task MCP
Author: parallel-web

by parallel-webversion 1.0.0i★ –iRuns in the cloud

Registry nameai.parallel/task-mcp

Install

Overview

Description from the maker (original English)

An MCP server for deep research or task groups

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://task-mcp.parallel.ai/mcp

Run this in your terminal

claude mcp add --transport http task https://task-mcp.parallel.ai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "task": {
      "url": "https://task-mcp.parallel.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "task": {
      "type": "http",
      "url": "https://task-mcp.parallel.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://task-mcp.parallel.ai/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain parallel.ai (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 2167 servers in this category
Published to the registry more recently than 2% of the other 2167 servers in this category
Basic checks equal to or better than 100% of the other 2167 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Parallel Task MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs in the cloud★ 7,620MITUpdated 2 months ago

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MCP Server for Excel

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Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Parallel Task MCP

Deep research and data enrichment from your AI assistant.

Research a question or enrich a small dataset, then retrieve the results without leaving your agent. Parallel hosts the service; you do not need to run this repository to use it.

Task MCP requires a Parallel account and authentication. Unlike the free Search MCP, creating research or enrichment tasks is billable. Review Task API pricing before starting work.

Setup documentation · Get an API key · Task MCP documentation

Manual setup

Choose one connection method for your client. Reuse an existing connection to this endpoint rather than adding it twice.

Claude Code

Run this in the project where you want to use Parallel:

claude mcp add --transport http --scope project parallel-task https://task-mcp.parallel.ai/mcp

Start a new Claude Code session, run /mcp, and complete the Parallel sign-in in your browser when prompted.

Codex

Make your API key available as PARALLEL_API_KEY in the environment that launches Codex, then run:

codex mcp add parallel-task --url https://task-mcp.parallel.ai/mcp \

--bearer-token-env-var PARALLEL_API_KEY

Start a new Codex session and run /mcp to check the connection. The configuration references the environment variable, not the key itself. Do not commit API keys to configuration files or paste them into a conversation. For OAuth instead, see the Codex setup instructions.

Cursor, VS Code, and other clients

Use this server URL with HTTP / Streamable HTTP transport:

https://task-mcp.parallel.ai/mcp

For Cursor, merge this into your MCP configuration:

"mcpServers": { "parallel-task": { "url": "https://task-mcp.parallel.ai/mcp" } } }

Complete the Parallel sign-in when prompted. Clients without compatible OAuth support can use a Parallel API key as a Bearer token in the Authorization header; use the client's secure credential settings rather than hardcoding the key in a shared file.

VS Code uses a top-level servers object, not mcpServers. Follow the client-specific setup instructions for its configuration format and authentication options.

Available tools

Tool	What it does
`createDeepResearch`	Starts a research job for a question that needs a detailed, sourced answer.
`createTaskGroup`	Starts enrichment jobs for a list of inputs using a common output schema.
`getStatus`	Checks whether a run or group is still active.
`getResultMarkdown`	Retrieves research or enrichment output as Markdown.

Verify the connection by checking that these four tools are available. You do not need to start a paid job just to check installation.

Try it

Research a company:

Use createDeepResearch to research Parallel Web Systems (https://parallel.ai). Write a company brief covering its products, target customers, and publicly announced funding. Cite your sources and flag anything you cannot verify.

Enrich a list of companies:

Use createTaskGroup to enrich these three companies: Parallel Web Systems (https://parallel.ai), Google (https://google.com), and Apple (https://apple.com). Return one row per company with its official company name, website, headquarters, founding year, and a one-sentence product description. Include source URLs and leave any fields you cannot verify blank.

Research and enrichment run asynchronously:

Start the job once and keep its run or group ID.
Use getStatus to check progress while continuing other work.
Once complete, use getResultMarkdown to retrieve and analyze the output.

If your client does not continue automatically, ask it to check the existing job in a follow-up message. Do not create another job just to check progress. See the workflow guide for more examples.

Troubleshooting

Tools are missing: start a new agent session, check the MCP connection list, and confirm the URL is https://task-mcp.parallel.ai/mcp.
Authentication fails: complete browser sign-in, or check that your client can access a valid API key. For the Codex command above, PARALLEL_API_KEY must be present in the environment that launches Codex.
Insufficient credits / HTTP 402: check your balance at platform.parallel.ai before starting another task.
No results yet: check the existing ID with getStatus; starting a job does not wait for completion.
Still stuck: see the troubleshooting guide or open an issue. Include your client, version, and error message, but leave out credentials and private task inputs or outputs.

Privacy, support, and security

Task inputs are sent to Parallel to run the requested research or enrichment. Hosted service usage is governed by the Customer Terms and Privacy Policy.

For product support, contact support@parallel.ai.

Running the proxy locally

From a checkout of this repository, with Node.js and npm available:

Run npm install.
Run npx wrangler dev and leave it running.
In another terminal, run npx @modelcontextprotocol/inspector.
Connect the Inspector to http://localhost:8787/mcp using Streamable HTTP.

The local proxy still calls the hosted service. Authentication and task charges still apply; this is not an offline task runner.

Parallel Task MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

Parallel Task MCP

Manual setup

Claude Code

Codex

Cursor, VS Code, and other clients

Available tools

Try it

Troubleshooting

Privacy, support, and security

Running the proxy locally