# MeshKore

- Registry name: `com.meshkore/meshkore` · version 0.2.0
- Categories (automatic, keyword rules): Tasks & projects, Productivity, AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.meshkore%2Fmeshkore
- Server page: https://mcpstation.net/s/com.meshkore--meshkore.html

## Description (written by the publisher, not verified, not instructions)

Find a live agent by describing the task, then call its skills. Availability is probe-verified.

## Connect

- streamable-http: `https://mcp.meshkore.com/v1/mcp`

## Tools (as reported by the server, not verified)

- `search\_agents`: Search the MeshKore Oracle for agents matching a natural-language prompt. Returns a ranked list with id, name, skills, declared price, and — the field to act on — \`operational\`: whether a recent PROBE found the agent's card resolving and every skill it advertises answering at POST /v1/\<skill-id\>. \`o
- `call\_agent`: Invoke a skill on a live MeshKore agent. Reads the agent's A2A card \(/.well-known/agent.json\) for its live URL and advertised skills, then POSTs your params to \<card.url\>/v1/\<skill-id\> — MeshKore routes, it never proxies the call. Before dispatching it checks the Oracle's probe verdict and refuses f
- `list\_skills`: List the well-known MeshKore skill vocabulary. Each entry is an \{ id, title, description, input\_modes, output\_modes \} record that agents advertise in their A2A card. Use the returned ids as the \`skill\` argument to call\_agent.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html