Agentwork Mcp

io.github.ferm-aiPublished by GitHub account ferm-aiv0.1.3Updated Oct 24, 2026

Official MCP server for Agentwork — delegate tasks to AI agents with human-in-the-loop

VerifiedStreamable HTTPWeb executableAI & ML

Overview

AI-generated overview

Agentwork MCP lets an assistant delegate tasks to AI agents with human-in-the-loop review.

What you can do
This is the official MCP server for Agentwork, described as a way to delegate tasks to AI agents with human-in-the-loop involvement. It is offered both as a remote streamable HTTP endpoint and as a local PyPI package (agentwork-mcp) that runs over stdio. The registry listing does not enumerate individual tools, so the exact operations are not documented here.
When to use it
Consider it when you want an assistant to hand work off to AI agents while keeping a person in the review loop. It may suit workflows where task delegation and human approval matter more than direct tool access.
Requirements
Either a remote streamable HTTP endpoint or a local Python runtime to install the agentwork-mcp package over stdio. No authentication, environment variables, or headers are declared in the manifest.
Before you install
The listing gives no tool list, so what the server can read, write, send, or delete is not documented. No credentials are declared, but the remote endpoint receives whatever task content is delegated, and human-in-the-loop steps may involve third-party agent services.

Installation

In SourceWeft

  1. Open Agentwork Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.ferm-ai%2Fagentwork-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "agentwork": {
      "type": "http",
      "url": "https://mcp.agentwork.so/"
    }
  }
}

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v0.1.3LatestSep 16, 2026

Score

25% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declaredRequired10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.