AuraCite connects assistants to brand visibility research through a hosted MCP endpoint with OAuth and an API-key fallback.
AuraCite connects assistants to brand visibility research through a hosted MCP endpoint with OAuth and an API-key fallback.
The repository bundles an AI visibility skill with an MCP connection to AuraCite. Its documented read-oriented workflows inspect visibility information for a brand. The skill guides the assistant's work; the hosted server supplies the underlying tools and account access.
The plugin uses Streamable HTTP at the RPC endpoint and documents browser OAuth with PKCE. An API-key header is an alternative for supported clients. A legacy SSE endpoint is also documented when HTTP negotiation is unsuitable. These are transport choices for the same service, not separate anonymous datasets.
Start with one brand and a clear set of research questions. Check the prompts, observations and sources supporting the result before interpreting a visibility measure. Model answers vary by prompt and sampling, so a single response should not be treated as a complete ranking. Use the account's available scope and inspect the actual discovered tools instead of assuming another visibility service's tool names.
{
"mcpServers": {
"auracite": {
"url": "https://auracite.de/mcp/rpc"
}
}
}An AuraCite account and a compatible HTTP MCP client with the documented OAuth or key configuration.
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