Toloka

Toloka / tendem-mcp

Public

Tendem MCP server

103
4
100% credibility
Found Feb 02, 2026 at 18 stars 6x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project creates a connection allowing AI assistants like Claude to create, monitor, approve, and retrieve outcomes from tasks handled by Tendem's AI and human agent team.

How It Works

1
🔍 Discover Tendem helper

You hear about Tendem-mcp, a simple add-on that lets your AI chat buddy team up with human experts to handle real-world tasks.

2
📝 Join Tendem

Visit tendem.ai, sign up for a free account, and create your private password from the account page.

3
🔗 Link to your AI

Follow the quick setup in your AI app like Claude to connect Tendem using your private password.

4
💬 Chat and assign task

Tell your AI something like 'Use Tendem to research vacation spots' and watch it create the task.

5
📋 Track progress

Your AI shows updates on the task status, like when it's ready for your okay.

6
✅ Approve the plan

Review the suggested cost, say yes if it fits, and let the experts get to work.

7
⏳ Wait for results

Sit back as AI and humans collaborate, with your AI sharing steps along the way.

🎉 Enjoy the outcome

Your AI hands over the complete results, files, or reports just as you needed.

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Star Growth

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AI-Generated Review

What is tendem-mcp?

tendem-mcp is a Python MCP server that connects AI tools like Claude Desktop, OpenAI Codex, and OpenCode to Tendem.ai's task management API. It lets your AI create tasks for AI+human agents, list them with pagination, approve pricing requests, poll status, fetch results or artifacts, and even download files directly. Developers get a drop-in server to outsource complex, real-world tasks—like research or automation—without leaving their AI workflow.

Why is it gaining traction?

It stands out by wrapping Tendem's API into simple MCP tools, so AIs handle everything from task creation to artifact downloads via natural commands, skipping manual API calls. Setup is dead simple: just uvx tendem-mcp with an API key, and it works across Claude, Codex, and more. Pagination and approval flows make it practical for ongoing task management, not one-offs.

Who should use this?

AI power users in Claude Desktop building agentic workflows that need human oversight for tasks like data analysis or content creation. Devs prototyping AI-assisted ops who want to delegate to Tendem agents without custom integrations. Prompt engineers iterating on multi-step tasks requiring approval and results polling.

Verdict

Grab it if you're already in the MCP ecosystem and experimenting with Tendem—it's a clean bridge despite 18 stars and 1.0% credibility signaling early alpha status. Docs are quickstart-focused but light on edge cases; test in a sandbox before production.

(198 words)

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