Endpoint verification
Check whether a live endpoint exists, responds, and looks usable before an agent recommends it in code, support, or research output.
MCP + Glama
Ground Truth is an MCP server that gives AI agents a live verification layer: check an endpoint, pull pricing, compare competitors, or validate a claim before the agent answers or acts.
The positioning here is intentionally lightweight. Ground Truth uses MCP because that is the practical integration surface for tools like Claude Desktop, Cursor, and other MCP clients, but the page stays focused on the product outcome: fewer stale, guessed, or unverifiable answers in agent workflows.
Ground Truth is not a generic research layer. It is a verification tool for agent workflows where the costly failure is confidently repeating something that should have been checked live.
Check whether a live endpoint exists, responds, and looks usable before an agent recommends it in code, support, or research output.
Pull live pricing or compare competitors when a workflow depends on what the market looks like right now instead of what the model remembers.
Use live data to challenge a claim or assumption before it turns into a recommendation, roadmap idea, or published answer.
MCP matters here because it is how an AI client discovers and calls the tools. That is the relevant part for buyers and builders evaluating the product right now.
{
"mcpServers": {
"ground-truth": {
"url": "https://ground-truth-mcp.anishdasmail.workers.dev/mcp"
}
}
}
Endpoint checking makes the product easy to try without a long onboarding story.
The current product shape spans endpoint, pricing, market, competitor, claim, and hypothesis workflows.
Connect it through a client that already supports MCP instead of building custom glue first.
Ground Truth is an MCP server that gives AI workflows access to live verification tools before the agent turns a guess into an answer.
It means the tool is exposed through Model Context Protocol so compatible clients can discover and call it directly during an AI workflow.
Because pricing, endpoints, competitors, and policy language change. Verification helps the workflow check first instead of relying on memory alone.
Start with endpoint checking. It is the simplest way to see the product value without reworking the rest of the stack.
Yes. The project is open source, while the hosted version keeps the trial path short for teams that want to move faster.
This page explains the product clearly without branching into a broader MCP or ACP content tree before traction exists.