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 yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:d324d69f9c2db207b582657eec9ebe715a4e5bd89dcba4c9555eb8defb7cca68 | sha256sum