Exercise

What it grounds

Ground fitness agents in a verifiable exercise database so workout guidance rests on real movement data — muscle, equipment and instructions.

Ways to ground with it

Ground answers in real data

Enable Exercise and it becomes a tool your agent calls over MCP to check itself against live data before it answers — grounding the response instead of guessing.

On the same endpoint and key

Exercise rides the one VerveContext MCP endpoint alongside 300+ other sources, so adding it to an agent is a toggle, not an integration.

Traceable and current

The agent pulls exercise at answer time and can carry the source with the result, so the reasoning stays current and auditable.

Connect over MCP

Point your agent framework at the VerveContext endpoint. Every enabled source — this one included — becomes a tool the model can call. No per-source plumbing.

context.json

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp",
      "headers": { "x-api-key": "vc_live_••••" }
    }
  }
}

# “exercises” is now a tool your agent can call

Facts your agent can cite

Each call returns structured fields your agent can read — and trace back to this source.

count
filteredOn
exercises

Exercise, answered

How to ground an agent in it over MCP.

How do I give my agent Exercise?

Enable it on VerveContext and point your agent framework at the VerveContext MCP endpoint. Exercise then appears to the model as a tool named exercises, which it calls when a task needs it — no per-source plumbing.

Which agents and frameworks can use it?

Any MCP client — Claude, Cursor, LangChain, and custom agents all speak the Model Context Protocol. Exercise is exposed as a standard tool, so nothing source-specific is required.

Can the agent cite Exercise?

Yes. Exercise is verifiable factual grounding — every value the agent pulls can carry Exercise as its source, so a person (or another system) can trace where the fact came from.

How many credits does a Exercise call cost?

Each call costs 1 credit. Scoped keys let you grant an agent only the sources it should reach, and usage logs show exactly what was pulled to ground each answer.

How current is the data?

Exercise is served live from APIVerve's production data engine and pulled at the moment the agent calls it, so answers reflect the world now rather than the model's training cutoff.

Where does the data come from, and what shows on my bill?

VerveContext runs on APIVerve, our production data engine; Exercise is one of 300+ sources on the same key. Invoices and card statements show APIVERVE.

Ground answers in real data

On the same endpoint and key

Traceable and current

Exercise, answered

Ground your agents in Exercise. Connect over MCP, enable the source, and every answer carries its receipts.

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