LABSCO SUMMARY
The receipt is the product, not the run.
Plenty of servers execute work; the distinguishing thing here is that each run ends in a verifiable receipt and a signed proof object that lands in a work history you can inspect afterwards. That matters when an agent is spending money on your behalf and you need to reconstruct what it did. Note the honest framing in the README: end-to-end execution is demonstrated, and external agent invocation is described as the next adoption milestone.
What it is
A hosted set of agent rails: an agent discovers what callable work exists, runs it as a scoped work order, and comes away with a receipt and a proof trail rather than just an answer.
What you get
- Agent Store discovery and rail discovery, so an agent can find what is callable before committing to anything
- Scoped work orders and structured agent runs, with paid rail movement quoted before it runs
- Payment authority created or referenced, then paid rail runs completed
- Receipt verification and signed proof objects, plus callback-ready proof and receiver-side callback examples
- Credential allow and deny boundaries demonstrated, and work-history inspection through the Trust Ledger
- The recorded path is work order, rail run, receipt, verification, Trust Ledger, Agent Work History
Requirements
A hosted streamable-http endpoint at https://weverlabs.com/api/mcp, so nothing runs locally. Descriptors are published at .well-known/mcp.json and .well-known/agent.json, with an OpenAPI document alongside them. There is also a Smithery route: npm install -g smithery, then smithery mcp add davidwever/wever-labs-agentic-rails, and smithery tool list to see what a connection exposes.
Setup effort
Add the hosted endpoint — paste it into your client
USE CASES
Paying for a rail run and being able to prove it happened
Quote the fee, complete the run, then verify the receipt and keep the signed proof.
Finding out what an agent can actually call
Discover the Agent Store and the available rails before writing any workflow around them.
Reconstructing what an agent did last week
Inspect the Trust Ledger summary and the agent's work history.
BEFORE YOU INSTALL
What to know first
Requires
Node.js 20 or later with npm, for the Smithery CLI
INSTALLATION
Connect your client
Paste it into your client.
Server setup
Setup
npm install -g smithery
smithery mcp add davidwever/wever-labs-agentic-railsHosted endpoint
https://weverlabs.com/api/mcpAdd this hosted endpoint to your MCP client.