Hyperliquid perp market data for LLMs: OHLCV, funding, open interest, positioning & forecasts.
AI & Agentsv0.1.0streamable-httptesseralytics.dev
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 2185ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-03-26, serverInfo tessera-hyperliquid-data@0.1.0 |
| tooling | 35 / 35 | tools/list OK: 6 tools e.g. "list_datasets"; 6/6 described, 6/6 fully-typed schemas, median description 254 chars |
| latency | 4 / 10 | initialize round-trip 2185ms |
| provenance | 12 / 15 | description present; no repository URL; version 0.1.0; namespace dev.tesseralytics matches endpoint/repo |
Score 91/100 · latency 2185ms · 6 tools · auth: open
Claude Code:
claude mcp add --transport http hyperliquid-data https://tesseralytics.dev/mcp
Generic MCP client config:
{ "mcpServers": { "hyperliquid-data": { "type": "http", "url": "https://tesseralytics.dev/mcp" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/dev.tesseralytics/hyperliquid-data · referral link https://mcpqueen.com/go/dev.tesseralytics/hyperliquid-data (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/dev.tesseralytics/hyperliquid-data)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-13 11:00 | A | 91 | 2185ms |