Vector Panda Documentation
https://www.vectorpanda.com/mcp ↗
Description
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
What our measurements say
Vector Panda Documentation is a remote MCP server published at www.vectorpanda.com. It has been probed 6 times since 9/12/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 702 ms, a delay an agent will notice. It offers a narrow, focused set of 8 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Agent readability score
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
Agent readability score
Strengths
- Tool names like 'search_docs' and 'read_doc' clearly indicate their purpose.
- Descriptions for 'get_api_operation' and 'get_benchmark_methodology' provide specific use cases.
Weaknesses
- Tool names like 'get_pricing' are too generic and could overlap with 'compare_storage_tiers'.
- Descriptions for 'get_quickstart' and 'list_supported_formats' do not explain when to use them.
- No mention of error handling or constraints in any tool's description.
get_pricing— Overlaps with 'compare_storage_tiers' in scope, causing potential ambiguity.get_api_operation— Parameter 'operation' lacks clarity on expected format (e.g., HTTP method vs. path).get_quickstart— Description does not specify when or why to use this tool.
Verdict
Event narrative
Risk: low
Advice
Schema compliance
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
- tools/list schema valid
- inputSchema is valid JSON Schema
- Smoke test not run this round
- Cold-start: cold 165ms → warm 166ms (penalty 0ms)
Tools
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
search_docsFull-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.
querystringrequiredlimitinteger
read_docFetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.
pathstringrequired
get_quickstartThe Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.
get_api_operationList 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.
operationstring
get_pricingCurrent storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.
get_benchmark_methodologyMeasured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.
compare_storage_tiersHot, warm, and paused storage tiers: current per-GB prices with what each tier means for query latency and when to pick it.
list_supported_formatsFile formats accepted for vector ingestion, from the canonical features page.
Availability history
Event log
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
- Added to watch — era: Legacy
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