Server definition
- Hash
- sha256:9d0e1665f36baa0e1e0513655304ae675c90ecf0b73ccf52dc39d177fc32db3f
- What it is
- What a remote MCP server returned when asked what it offers: 8 tools
The blob, as servednamed by its sha256
{
"instructions": "Canonical Vector Panda product documentation: search and read docs, look up API operations, pricing, storage tiers, supported formats, and measured benchmark methodology. Every result cites its canonical vectorpanda.com URL. No authentication required.",
"tools": [
{
"description": "Hot, warm, and paused storage tiers: current per-GB prices with what each tier means for query latency and when to pick it.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "compare_storage_tiers",
"outputSchema": null
},
{
"description": "List public REST API operations, or pass one (e.g. \"POST /api/v1/query\") for its parameters, request body, responses, and auth. Sourced from the published OpenAPI spec.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"operation": {
"description": "Operation key like \"POST /api/v1/query\"; omit to list all operations",
"type": "string"
}
},
"type": "object"
},
"name": "get_api_operation",
"outputSchema": null
},
{
"description": "Measured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "get_benchmark_methodology",
"outputSchema": null
},
{
"description": "Current storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "get_pricing",
"outputSchema": null
},
{
"description": "The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "get_quickstart",
"outputSchema": null
},
{
"description": "File formats accepted for vector ingestion, from the canonical features page.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "list_supported_formats",
"outputSchema": null
},
{
"description": "Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"path": {
"description": "Site path of the document, e.g. /docs/tutorials/filter-syntax",
"type": "string"
}
},
"required": [
"path"
],
"type": "object"
},
"name": "read_doc",
"outputSchema": null
},
{
"description": "Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"limit": {
"description": "Maximum results (default 5, cap 20)",
"maximum": 20,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Search terms",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search_docs",
"outputSchema": null
}
]
}Verify it yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:9d0e1665f36baa0e1e0513655304ae675c90ecf0b73ccf52dc39d177fc32db3f | sha256sum