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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 } ] }
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