Give AI agents an on-demand maze generator through the same real-data layer, returning a solvable grid and solution per call.
Enable Maze Generation 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.
Maze Generation rides the one VerveContext MCP endpoint alongside 300+ other sources, so adding it to an agent is a toggle, not an integration.
The agent pulls maze generation at answer time and can carry the source with the result, so the reasoning stays current and auditable.
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.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp",
"headers": { "x-api-key": "vc_live_••••" }
}
}
}Each call returns structured fields your agent can read.
widthheightdifficultystartendgridhtmlimageHow to ground an agent in it over MCP.