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DelinSirkov

Offload MCP

by DelinSirkov
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TypeScript
Hybrid

Offload MCP server

Delegate a real-world digital task to a vetted human, straight from your AI chat.

Offload's MCP server gives any MCP client (Claude, Cowork, Cursor, ChatGPT, …) three tools:

Tool

What it does

Auth

offload_get_quote

Describe a task → instant AI-scoped category, time estimate, and fair price.

None (free)

offload_post_task

Post the task to the marketplace → escrow-protected checkout link.

Optional key

offload_task_status

Check a posted task by ID.

Optional key

The wedge: you're mid-conversation, hit something you don't want to do, and instead of context-switching you just say "offload this." The AI does the automatable ~80%; a vetted human finishes the rest. Escrow-protected, and Offload never asks for your passwords.

Interactive quote card (MCP Apps). In hosts that support MCP Apps (Claude, Claude Desktop, VS Code), offload_get_quote renders an inline card with the category, time estimate, price, and the AI-vs-human split, plus a one-tap Post task button that returns the escrow checkout link. Every other host shows the same information as text, so nothing is lost.

Quick start (local / stdio)

npm install
npm run build
npm start          # runs the stdio server

Use it in Claude Desktop / Cowork

Add to your MCP config (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "offload": {
      "command": "npx",
      "args": ["-y", "offload-mcp"],
      "env": {
        "OFFLOAD_API_BASE": "https://offloads.io"
      }
    }
  }
}

offload_get_quote works with no API key. To enable posting and status, add OFFLOAD_API_KEY.

Related MCP server: AgentHire MCP Server

Remote / hosted (for the Connectors Directory)

Deploy to Render

One-click deploy with the included Dockerfile + render.yaml. See DEPLOY.md for the 3-minute, no-terminal walkthrough.

Or run it yourself:

npm run build
npm run start:http   # POST /mcp  (Streamable HTTP), GET /healthz

Deploy anywhere (Render, Fly, Railway, a container) to get a stable https://…/mcp URL, then submit it to the Anthropic Connectors Directory. A linked privacy policy is required — we point to https://offloads.io/trust.

Configuration

Env var

Default

Purpose

OFFLOAD_API_BASE

https://offloads.io

Offload API base URL

OFFLOAD_API_KEY

(empty)

Enables post_task / task_status

PORT

8787

Port for the HTTP server

Backend contract

The tools call these public Offload endpoints (implemented as edge functions on the Offload backend):

POST /api/public/mcp/quote        { description }                              -> Quote
POST /api/public/mcp/task         { title, description, urgency?, budget?, email? } -> CreatedTask
GET  /api/public/mcp/task/:id                                                   -> TaskStatus

See src/offloadClient.ts for the exact response shapes.

Where to list it

Same server, multiple front doors: Glama, mcp.so, Smithery, PulseMCP, and the punkpeye/awesome-mcp-servers GitHub list.

License

MIT — see LICENSE.

2026-06-15 (Claude, portfolio pass)

.gitignore secured BEFORE any push: added health-log.jsonl (the local monitoring log was NOT ignored - *.log does not match .jsonl) and dist-ui/ (the UI build - dist/ does not match dist-ui/). The health-monitor is now safe to stage. GATE (Deo): the actual commit + push of offload-mcp to PUBLIC GitHub is your go - verify nothing sensitive is in the diff first.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

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Resources

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