At a glance
- SAM.gov
- federal opportunity data, served to agents
- MCP
- open protocol for agent tool calls
- Live
- monetized and in production, not a demo
- 0
- invented data points: no source, no answer
The problem
An AI agent is only as trustworthy as its data path. Ask a bare model about contract opportunities and it will produce plausible, confident, wrong answers, because nothing connects it to the actual record. For procurement work, an agent that invents data is worse than no agent at all.
What was built
GovSignal MCP is a monetized SAM.gov intelligence server built on the Model Context Protocol, the open standard for how AI agents call external tools. An agent connected to GovSignal does not guess about federal opportunities; it queries the approved source and returns what the record says. No source, no answer.
What it demonstrates
This is the tool-and-connector layer of Munivera’s architecture, running as a live product. In the deterministic pipeline it is the Retrieve step: existing permissions and approved sources decide what the model may read, and everything else is out of bounds.
The same pattern applies directly inside agency environments: bid boards, ERP systems, and document repositories in state, local, and education settings, each exposed to the agent as a governed tool rather than pasted into a prompt.