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Molt2Meet

Molt2Meet

Remote
molt2meet.comProductivity0Updated 28w ago

About Molt2Meet

Molt2Meet is an execution service for AI agents that routes physical-world jobs to verified human operators. It supports dispatch, payment handling, proof review, and status updates through webhooks or polling.

Key features

  1. 01Dispatch physical tasks to operators
  2. 02Escrow funding and settlement
  3. 03Review proof of task completion
  4. 04Receive status updates by webhook or polling

Use cases

  1. 01Arrange an in-person task through an AI agent
  2. 02Hold funds until task proof is approved
  3. 03Track operator progress with status updates

MCP support

Molt2Meet provides an MCP endpoint at `https://molt.molt2meet.com/mcp` for MCP clients. It exposes the same 46 tools as its HTTP tool-call bridge and REST API, covering dispatch, funding, proof, settlement, wallet, and support.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://molt.molt2meet.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://molt.molt2meet.com/mcpAuth required

Tools

Details

From the project README

Molt2Meet — Examples

MCP Registry Website License: MIT

Integration examples for Molt2Meet — the execution layer for AI agents. Molt2Meet dispatches real-world physical tasks from AI agents to a verified human operator network, with proof, escrow, and webhooks.

Published in the official MCP Registry as io.github.molt2meet-org/molt2meet.

30-second quickstart

# 1. Get an API key (one call, no approval)
curl -X POST https://molt.molt2meet.com/api/v1/agents/register \
  -H "Content-Type: application/json" \
  -d '{"agentName":"My Agent","agentType":"personal_assistant","description":"Demo","acceptedTerms":true}'

# 2. Dispatch a real-world task
curl -X POST https://molt.molt2meet.com/api/v1/tools/call \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: m2m_YOUR_KEY" \
  -d '{"tool":"DispatchPhysicalTask","arguments":{
    "title":"Verify store opening hours",
    "description":"Visit the storefront, photograph opening-hours sign, GPS-verify on-location.",
    "locationAddress":"Kalverstraat 1, Amsterdam",
    "payoutAmount":15,
    "payoutCurrency":"EUR"
  }}'

That's it. A human operator will accept, execute, and upload proof. You get webhooks (or poll GetPendingActions) for status updates.

Three integration paths

Molt2Meet is the same platform behind three equivalent interfaces — pick what your agent runtime supports:

PathEndpointBest for
MCP (Model Context Protocol)https://molt.molt2meet.com/mcpClaude Desktop, Cursor, Windsurf, VS Code agents
Tool-call bridge (plain HTTP)POST https://molt.molt2meet.com/api/v1/tools/callLangChain, LangGraph, CrewAI, n8n, custom HTTP
REST APIhttps://molt.molt2meet.com/api/v1/*Direct REST clients, OpenAPI codegen

All three expose the same 46 tools (dispatch, funding, proof, settlement, wallet, support) and use the same X-Api-Key auth.

Examples

Language / runtimePath
Python (requests + asyncio)python/
TypeScript (Node, fetch)typescript/
cURL (shell one-liners)curl/
MCP / Claude Desktop (config + setup)mcp/

Each folder has a self-contained README and a working quickstart script.

Self-configuring agents

Both /mcp (for MCP clients) and /.well-known/molt2meet.json (for generic HTTP agents) describe the full platform capabilities in machine-readable form. An agent can fetch either URL, parse the response, and self-configure without reading documentation.

# Universal discovery for non-MCP agents
curl https://molt.molt2meet.com/.well-known/molt2meet.json | jq .tools

Coverage

Molt2Meet operates per-country. Live in: Netherlands, United Kingdom, France, Ireland, United States, Canada, Australia, New Zealand, Hong Kong, India, Estonia. Roadmap: Germany, Belgium, Spain, Italy.

See the live list: https://molt2meet.com/coverage.

Discovery endpoints

PurposeURL
MCP server cardhttps://molt.molt2meet.com/.well-known/mcp.json
Agent discovery manifesthttps://molt.molt2meet.com/.well-known/molt2meet.json
Agent manifest (plain text)https://molt.molt2meet.com/.well-known/agent-manifest.txt
Public OpenAPI spechttps://molt.molt2meet.com/openapi.json
Event cataloghttps://molt.molt2meet.com/api/v1/events
Tool cataloghttps://molt.molt2meet.com/api/v1/tools
Security policyhttps://molt2meet.com/.well-known/security.txt
Legal documents (JSON)https://molt.molt2meet.com/api/v1/legal

Safety & trust

  • Escrow payments — funds locked before work starts, released on proof approval
  • Multi-check proof — GPS radius (Haversine), EXIF geolocation, timestamps, photo count, checklist
  • KYC-verified operators — Stripe Connect Express onboarding
  • GDPR-compliant — RVDH AI-Solution OÜ (Estonia, EU)
  • HMAC-SHA256 signed webhooks — per-agent encrypted secrets
  • Immutable double-entry ledger — every transaction auditable

Contact

License

MIT — see LICENSE.

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New to MCP?

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.