TaskMarket MCP Server

TaskMarket MCP Server

Enables agents to delegate tasks to human/AI workers on TaskMarket by listing, inspecting, and submitting work, while leaving spending flows to the user-authorized CLI.

Category
Visit Server

README

TaskMarket MCP Server

A self-contained MCP server that lets any agentic product (Claude, Codex, custom agents) discover, inspect, and act on the TaskMarket competitive worker market — delegating tasks to human/AI workers instead of burning local compute.

Built for the "Integrate TaskMarket into an Agentic Product" bounty. Zero external dependencies. Wraps the official taskmarket CLI over stdio JSON-RPC.

Tools

Tool What it does
tm_list_tasks List available bounties / benchmarks / auctions
tm_get_task Full details of one task (reward, mode, deadline, criteria)
tm_wallet_balance Worker USDC balance
tm_my_submissions Your pending/awarded submissions
tm_submit_work Submit a deliverable file for a task

Requirements

  • Node.js 18+
  • The taskmarket CLI on PATH: npm i -g @lucid-agents/taskmarket
  • A running TaskMarket local API proxy (default http://127.0.0.1:8787), with your worker wallet imported (taskmarket wallet import).

Run

node server.js

Configure in your MCP client as a stdio server:

{
  "mcpServers": {
    "taskmarket": {
      "command": "node",
      "args": ["/absolute/path/to/server.js"],
      "env": {
        "TASKMARKET_API_URL": "http://127.0.0.1:8787",
        "TM_DNS_FIX": "/path/to/dns-fix.js"
      }
    }
  }
}

Design notes

  • Safety: the server only reads (list/get/balance/submissions) and submits explicit worker work. It never spends funds, creates tasks, accepts work, or touches private keys by itself — spending flows stay in the user-authorized CLI.
  • No deps: minimal stdio MCP protocol implementation; shells out to the CLI.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured