Relay — agent service discovery
RemoteAbout Relay — agent service discovery
Discover agent services, compare sourced capabilities and inspect connection evidence. No execution.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://relay-agent-services.orellise.chatgpt.site/api/mcpclaude mcp add --transport http site-chatgpt-orellise-relay-agent-services-relay https://relay-agent-services.orellise.chatgpt.site/api/mcp{"mcpServers":{"site-chatgpt-orellise-relay-agent-services-relay":{"type":"http","url":"https://relay-agent-services.orellise.chatgpt.site/api/mcp"}}}Open in Cursor{"servers":{"site-chatgpt-orellise-relay-agent-services-relay":{"type":"http","url":"https://relay-agent-services.orellise.chatgpt.site/api/mcp"}}}Open in VS Code{"mcpServers":{"site-chatgpt-orellise-relay-agent-services-relay":{"type":"http","url":"https://relay-agent-services.orellise.chatgpt.site/api/mcp"}}}{"mcpServers":{"site-chatgpt-orellise-relay-agent-services-relay":{"serverUrl":"https://relay-agent-services.orellise.chatgpt.site/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
12| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | Maximum provider records to return; defaults to 20. |
| query | string | No | Literal metadata terms; all whitespace-separated terms must occur. |
| offset | integer | No | Number of matching provider records to skip for pagination; defaults to 0. |
| planType | enum | No | Filter documented access-plan observations; defaults to all. Stale observations become unknown, not free access.all | free-tier | evaluation | recurring-credit | trial-credit | paid-credit | unknown |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.