Tessera Analytics

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Query Hyperliquid perp and HIP-3 market data — OHLCV, funding rates, open interest, and positioning — plus quant funding/volatility forecasts, straight from your LLM.

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Author
Unknown
Categories
Finance, AI, Other

Point Claude — or any MCP client — at Tessera Analytics' Hyperliquid datasets and explore them in plain language. Discover the catalog, read the data dictionary, and pull actual rows of funding, positioning, and the funding/RV and wallet forecasts, all authed with your API key.

TheModel Context Protocollets an AI assistant call external tools. Our hosted MCP server exposes Tessera Analytics' gold datasets as a small set of tools, so instead of writing download scripts you can just ask —"what's the latest funding-innovation forecast for BTC?"— and the model callsread_datasetand reasons over the rows. It's a single hosted endpoint (https://tesseralytics.dev/mcp), authed with the same API key you use for the REST API.

First,create an API keyon your account page. Then wire it into your client — replaceYOUR_TESSERA_API_KEYwith your key.

One command — native streamable-HTTP transport with a header.

claude mcp add --transport http tessera https://tesseralytics.dev/mcp \ --header "Authorization: Bearer $TESSERA_API_KEY"

For MCP clients that accept a remote URL plus custom headers, add this to your MCP config.

{ "mcpServers": { "tessera": { "type": "http", "url": "https://tesseralytics.dev/mcp", "headers": { "Authorization": "Bearer YOUR_TESSERA_API_KEY" } } } }

Some desktop clients don't yet send custom headers to remote servers. Themcp-remotebridge proxies the connection and injects your key. Add this toclaude_desktop_config.json, then restart the app.

{ "mcpServers": { "tessera": { "command": "npx", "args": [ "-y", "mcp-remote", "https://tesseralytics.dev/mcp", "--header", "Authorization: Bearer ${TESSERA_API_KEY}" ], "env": { "TESSERA_API_KEY": "YOUR_TESSERA_API_KEY" } } } }

Once connected, drive it in natural language. A few things to try:

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