Tendem MCP server

by toloka

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Delegate tasks to vetted human experts - research, writing, analysis, and data work.

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toloka
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Productivity

Setup

Install Tendem MCP server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/toloka/tendem-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

Delegate tasks to vetted human experts β€” straight from your AI assistant.πŸ§‘β€πŸ”¬πŸ€πŸ€–

Tendemgives your AI direct access to vetted human experts for the work an agent alone can't nail: judgment-heavy research, competitive analysis, copywriting and editing, design review, data cleaning, and complex multi-step tasks. You (or your agent) submit a task in plain English β€” Tendemscopes the work, quotes a transparent price, and delivers verified resultsback into the chat as files, reports, or structured outputs. Agentplusexpert raises the quality ceiling of what you can ship well beyond what either does alone.

Ideal for founders, creators, operators, and consultants who need reliable expert output without managing freelancers.

This repo is theofficial distribution homefor the Tendem MCP plugin β€” the part that lives in your AI client. Install it and your assistant arrives already knowing how to drive the full Tendem lifecycle: create β†’ scope β†’ approve β†’ fetch, with clean polling and spend safety built in.

The MCP server itself ishostedathttps://mcp.tendem.ai/mcpβ€” it is not in this repo. This repo contains the client-side plugins, skills, and rules that teach your AI client to use the hosted server well.

The hosted server URL is the same everywhere:https://mcp.tendem.ai/mcp(streamable HTTP, OAuth on first use). Pick your client:

/plugin marketplace add Toloka/tendem-mcp /plugin install tendem@tendem-mcp
codex plugin marketplace add Toloka/tendem-mcp codex plugin add tendem@tendem-mcp

Complete the MCP server's OAuth login on first tool use.

copilot plugin marketplace add Toloka/tendem-mcp copilot plugin install tendem@tendem-mcp
gemini extensions install https://github.com/Toloka/tendem-mcp

Then authenticate inside Gemini with/mcp auth tendem. The catalog entry isgemini-extension.jsonat the repo root.

Kiro Powers register through the IDE. Point Kiro at thetendem-power/steering bundle in this repo, then connect thetendemMCP server when prompted.

{ "mcpServers": { "tendem": { "type": "http", "url": "https://mcp.tendem.ai/mcp" } } }

Python / LangChain / LangGraph:skip the raw MCP wiring and uselangchain-tendemβ€” four price-capped tools that let an agent create a task, answer the service's questions, and collect the verified result, with all polling in plain Python (no LLM, no tokens).

For every other stack, a native"type": "http"remote server triggers the interactive OAuth flow, so to pass a static API key instead, bridge the connection throughmcp-remoteβ€” a local stdio process that connects to the hosted URL and injects yourAuthorization: ApiKeyheader:

{ "mcpServers": { "tendem": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.tendem.ai/mcp", "--transport", "http-only", "--header", "Authorization: ApiKey <your-tendem-api-key>" ] } } }

Keep the token out of source control (inject it from an environment variable or secret store). Your custom agent loop drives the same eleven tools the plugin uses β€”create_task,get_task,get_contract,get_task_result,list_tasks,approve_task,cancel_task,send_message,read_chat,get_account,get_file_upload_urlβ€” to implement the create β†’ scope β†’ approve β†’ poll β†’ fetch lifecycle yourself. The server ships atendem-quickstartprompt with a full walkthrough.

Spend safety:approve_taskis what triggers a charge. In an automated pipeline, gate it behind your own approval logic and checkget_accountfirst β€” an insufficient balance returns a task-bound top-up URL, not an error to retry.

Installing does more than wire up the connector β€” it ships steering so your AI handles Tendem correctly out of the box:

- tendem-tasksskillβ€” the end-to-end path (create β†’ scope β†’ approve β†’ fetch), silent long-polling without busy-loops, scope negotiation, and live-verified file upload/download mechanics. Loads only when work actually involves Tendem.
- /tendem-task,/tendem-status,/tendem-resultβ€” explicit entry points to submit, check, and fetch a task (in Codex these are$tendem-tasketc.).
- tendem-watcheragent(Claude / Copilot) β€” a background watcher that polls a running task at a slow pace and pings you the moment it needs you.
- Notification hookβ€” a desktop notification when a task transitions to needing you (quote ready, top-up needed, input needed, result ready).

- AGENTS.mdβ€” guide for AI agents working in this repo
-
CONTRIBUTING.mdβ€” how to contribute
- Per-client manifests:
Claude Code,OpenAI Codex,Cursor,GitHub Copilot CLI, andGemini CLI

- Product:tendem.aiΒ·App:agent.tendem.ai
- Overview:
Connect your AI agent to human experts via MCP
- Legal:
Privacy PolicyΒ·Terms of Use
- Support:
Help center

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