What strategies can I use for task synchronization?

You can use barrier, first_success, or quorum strategies to control how your agents coordinate.

How do I know when my parallel tasks are finished?

You use the get_batch_summary capability to check if the synchronization threshold has been met based on your strategy.

Can I pass data from completed tasks to the next step?

Yes, when you use the update_task_status capability to mark a task as COMPLETED, you can include the result.

Which AI clients can use this MCP?

Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this MCP once connected via Vinkius.

Do I need to host this myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

What synchronization strategies are supported?

The coordinator supports three strategies: barrier (waits for all tasks), first_success (proceeds after one success), and quorum (proceeds after a specific number of successes).

How do I check if my parallel tasks are finished?

You can use get_batch_summary to retrieve the current state of the batch, including whether the synchronization threshold has been met and the results of completed tasks.

Can I set a timeout for a batch of tasks?

Yes, when calling register_task_batch, you can provide a maxWaitMs parameter to enforce a deadline for the entire batch.

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Connect Parallel Task Fan-out Coordinator to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Synchronize multiple agents with deterministic coordination patterns.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Parallel Task Fan-out Coordinator.

01
Get batch summary
This capability pulls the current state and results for a specific group of tasks. It shows you what has finished and what is still running.
02
Register task batch
This capability starts a new group of tasks. You define the batch size and the coordination strategy, like quorum or barrier, right at the start.
03
Update task status
This capability reports how an individual task is progressing. When a task hits a COMPLETED status, you include the result here.

Real work

What teams actually run

Parallel Web Research

Launch five agents to search different sites and wait for at least three to return valid data before summarizing.

Distributed Data Processing

Split a large dataset across multiple agents and use a barrier to ensure all parts are processed before merging results.

Redundant Task Execution

Run the same query through three different agents and proceed as soon as the first one provides a successful answer.

Multi-Agent Consensus

Use quorum logic to ensure a group of agents agrees on a decision before the workflow continues.

One connector, every AI

Parallel Task Fan-out Coordinator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Parallel Task Fan-out Coordinator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

867ms average. Fast in production.

Parallel Task Fan-out Coordinator is checked daily against the live service.

Daily averagePeak 1125ms

Oct 3Today

Fastest day: 639ms
Slowest day: 1125ms
14-day trend: Improving-8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Parallel Task Fan-out Coordinator, so you can see the experience inside your AI.

It does not authenticate your account with Parallel Task Fan-out Coordinator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Parallel Task Fan-out Coordinator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_elCb8wpPopd75uCL9DwkRf5ffmt3go594goWwsik/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Parallel Task Fan-out Coordinator capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "parallel-task-fan-out-coordinator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_elCb8wpPopd75uCL9DwkRf5ffmt3go594goWwsik/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Parallel Task Fan-out Coordinator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Parallel Task Fan-out Coordinator owners hand off.

This is built for developers and engineers building multi-agent systems that require strict execution order.

01
AI Engineers
They hand off the coordination of parallel agentic loops to this MCP.
02
Workflow Architects
They use it to define the logic for complex fan-out and fan-in operations.
03
Automation Developers
They rely on it to ensure parallel processes don't drift out of sync.

FAQ

Questions Parallel Task Fan-out Coordinator owners ask.

01
What strategies can I use for task synchronization?
You can use barrier, first_success, or quorum strategies to control how your agents coordinate.
02
How do I know when my parallel tasks are finished?
You use the get_batch_summary capability to check if the synchronization threshold has been met based on your strategy.
03
Can I pass data from completed tasks to the next step?
Yes, when you use the update_task_status capability to mark a task as COMPLETED, you can include the result.
04
Which AI clients can use this MCP?
Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this MCP once connected via Vinkius.
05
Do I need to host this myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.
06
What synchronization strategies are supported?
The coordinator supports three strategies: barrier (waits for all tasks), first_success (proceeds after one success), and quorum (proceeds after a specific number of successes).
07
How do I check if my parallel tasks are finished?
You can use get_batch_summary to retrieve the current state of the batch, including whether the synchronization threshold has been met and the results of completed tasks.
08
Can I set a timeout for a batch of tasks?
Yes, when calling register_task_batch, you can provide a maxWaitMs parameter to enforce a deadline for the entire batch.

Explore

More in Orchestration

Connect Parallel Task Fan-out Coordinator to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Get batch summary

Register task batch

Update task status

What teams actually run

Parallel Web Research

Distributed Data Processing

Redundant Task Execution

Multi-Agent Consensus

Building your own app? The connector is yours to use.

Parallel Task Fan-out Coordinator Connector

Claude Desktop

AI Engineers

Workflow Architects

Automation Developers

What strategies can I use for task synchronization?

How do I know when my parallel tasks are finished?

Can I pass data from completed tasks to the next step?

Which AI clients can use this MCP?

Do I need to host this myself?

What synchronization strategies are supported?

How do I check if my parallel tasks are finished?

Can I set a timeout for a batch of tasks?

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