Examples — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Examples (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.# 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.
Molt2Meet is the same platform behind three equivalent interfaces — pick what your agent runtime supports:
| Path | Endpoint | Best for |
|---|---|---|
| MCP (Model Context Protocol) | https://molt.molt2meet.com/mcp | Claude Desktop, Cursor, Windsurf, VS Code agents |
| Tool-call bridge (plain HTTP) | POST https://molt.molt2meet.com/api/v1/tools/call | LangChain, LangGraph, CrewAI, n8n, custom HTTP |
| REST API | https://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.
| Language / runtime | Path |
|---|---|
| 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.
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 .toolsMolt2Meet 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>.
| Purpose | URL |
|---|---|
| MCP server card | <https://molt.molt2meet.com/.well-known/mcp.json> |
| Agent discovery manifest | <https://molt.molt2meet.com/.well-known/molt2meet.json> |
| Agent manifest (plain text) | <https://molt.molt2meet.com/.well-known/agent-manifest.txt> |
| Public OpenAPI spec | <https://molt.molt2meet.com/openapi.json> |
| Event catalog | <https://molt.molt2meet.com/api/v1/events> |
| Tool catalog | <https://molt.molt2meet.com/api/v1/tools> |
| Security policy | <https://molt2meet.com/.well-known/security.txt> |
| Legal documents (JSON) | <https://molt.molt2meet.com/api/v1/legal> |
MIT — see LICENSE.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.