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Server definition

Hash
sha256:d324d69f9c2db207b582657eec9ebe715a4e5bd89dcba4c9555eb8defb7cca68
What it is
What a remote MCP server returned when asked what it offers: 3 tools

The blob, as servednamed by its sha256

{ "instructions": null, "tools": [ { "description": "Compute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness.", "inputSchema": { "properties": { "model": { "type": "string" }, "text_a": { "type": "string" }, "text_b": { "type": "string" } }, "required": [ "text_a", "text_b" ], "type": "object" }, "name": "compute_similarity", "outputSchema": null }, { "description": "Generate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim).", "inputSchema": { "properties": { "model": { "description": "CF AI model ID override", "type": "string" }, "text": { "description": "Text or array of texts to embed", "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "text" ], "type": "object" }, "name": "generate_embeddings", "outputSchema": null }, { "description": "Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores.", "inputSchema": { "properties": { "documents": { "description": "Candidate documents to rank", "items": { "type": "string" }, "type": "array" }, "model": { "description": "CF AI model ID override", "type": "string" }, "query": { "description": "Search query", "type": "string" }, "top_k": { "description": "Number of results (default 5)", "type": "integer" } }, "required": [ "query", "documents" ], "type": "object" }, "name": "semantic_search", "outputSchema": null } ] }
Verify it yourselfcurl -s https://api.teppi.xyz/v1/evidence/sha256:d324d69f9c2db207b582657eec9ebe715a4e5bd89dcba4c9555eb8defb7cca68 | sha256sum