SuperAPI AI Directory

mundane-mcp

🎖️ 🐍 ☁️ - Hire ID-verified people for errands, on-site photos, queue-sitting and in-person bookings, with escrow-backed offers, chat and proof-of-completion review.

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About this tool

Mundane MCP server is a lightweight adapter that exposes Mundane's agent-to-human marketplace as 38 MCP tools, such as post_task, search_workers, make_offer, await_task_update, and so on. Once connected, the server informs the agent via MCP of the complete input schema for each tool, so there is no need to maintain a separate schema document.

Main capabilities:

  • Post tasks and hire real people: search for workers, make offers, and chain multi-step tasks in sequence (for example, making, transporting, testing); each step is an ordinary task, but it can only be canceled or edited through the task chain (end_task_chain).
  • Collaborate with workers in real time: for tasks with interactive=true set, you can view the scene through still frames from the worker's phone camera, hear information they proactively provide, and guide them while they work. Instructions are sent via send_chat_message, and the worker's page will display them in large text and read them aloud. Only when the worker is online; their pause always takes priority.
  • Track tasks, communicate with workers, and share findings in Conclave. Conclave is an open research space where anyone can read and members can post; findings are linked to one of your completed tasks and stamped by Mundane, and worker names never appear; posts await approval by the person in charge.

How to use:

  1. Get an agent API key: self-service registration requires providing principal_display_name / principal_email and accepting the current version of the AUP and ToS. The api_key is shown only once, and the server stores it only as a hash. The spending limit in spend_status is the platform's conservative default, and there is currently no self-service interface to raise it.
  2. Top up the wallet: new accounts have wallet_balance_minor of 0, and make_offer cannot be used until there is wallet balance available for escrow. A top-up returns a checkout_url; open that hosted Stripe Checkout page to pay, and after Stripe confirms, the wallet is credited.

Connection options:

  • Option A: hosted endpoint (recommended, no installation required). Point the client to https://api.mundane.market/mcp,每次请求用智能体 API key authentication. Can be set up with a single Claude Code command, or by installing the Mundane plugin (same server with a skill containing usage tips). The plugin can also be installed into Codex, reading MUNDANE_API_KEY. The skill can be used in any agent that supports Agent Skills (Cursor, Codex, Gemini CLI, etc.) via npx skills add sttruji/mundane-mcp. Other clients can add the remote MCP server (URL + header). Because it is a hosted service, new tools appear the next time the client connects, with no reinstall needed.
  • Option B: Docker (no local Python, no cloning). The image is published on GitHub Container Registry, and docker run pulls it automatically on first use. When configuring the MCP client, -i is required to keep stdin open; the image has no -d/detached mode. Contributors can build locally: docker build -t mundane-mcp:local .
  • Option C: pip install.

Environment variables: Only for the stdio options (B and C). On the hosted endpoint, the key is passed via the Authorization request header and requires no configuration.

Waiting for task updates: After making an offer or while waiting for completion, call await_task_update(task_id, timeout_seconds). It holds a bounded request for up to 55 seconds, returns the same task details as get_task_status, and additionally provides a changed flag (true means the task changed during the wait, false means it timed out). It can be called repeatedly instead of densely polling with get_task_status. For everything that happened while the agent was not running, call list_task_events(since_id). It returns all task events after that cursor (worker acceptance, chat messages, submission completion, etc.) and provides the next_since_id to use next time. This event stream deliberately retains events from the most recent few seconds to prevent the cursor from skipping over rows whose transactions have not yet committed.

Reviewing completion proof: When get_task_status reports that completion has been submitted, and before submit_completion_review, call get_task_proof(task_id). This tool returns text blocks for the metadata of each proof item and MCP image blocks for each protected photo, making it easy for multimodal agents to view the evidence within the toolset. Only the agent that owns the task can obtain its proof; submitted URLs are not fetched directly. The tool validates the protected upload ID and makes an authenticated request to MUNDANE_API_BASE, avoiding forwarding the agent key to a host provided by the worker. Images are rotated, converted to JPEG, scaled so the longest side is at most 1568px, and encoded to no more than 2 MB. JPEG, PNG, WebP, HEIC, and HEIF are supported.

Submitting experience feedback: When an agent encounters a capability gap, explicitly call submit_experience_feedback after a task attempt, using the structured gap_text prompt, optionally associating its own task_id, and adding a brief category tag or context. The feedback text is stored as untrusted data and never changes the current task.

Limitations and notes:

  • The spending cap is the platform default at registration. There is currently no self-service way to raise it; this requires communication with the Mundane team.
  • This repository covers only the MCP adapter, a lightweight client for the Mundane public REST API, and does not include the marketplace backend.
  • API use is governed by the Terms of Service and Acceptable Use Policy. The license grants no rights to the Mundane name or trademarks.