Tendem MCP server
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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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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.π§βπ¬π€π€
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 βcreate_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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