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Enable AI to read, write, and automate versioned ArcticDB time-series workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "arcticdb-mcp" yet — see the docs or source repo.
Connect to ArcticDB and write the latest daily data for symbols ['AAPL','MSFT','TSLA'] into the target library; append new records if the symbol already exists, then return the write result and latest version for each symbol.
Returns write status, appended row counts, and the latest version info for each symbol.
Read minute-level data for symbol 'BTC_USD' from ArcticDB between 2024-01-01 and 2024-03-31, aggregate it by day, and output volume, high, low, and the data version used.
Outputs a daily aggregated time-series table with the version identifier of the data used.
Create a batch workflow for ArcticDB: after market close each day, update factor data for all stocks, validate missing values, log failed symbols, and generate an execution summary.
Produces an automation workflow result including update statistics, exception logs, and a job summary.
Enable AI assistants to run ArangoDB queries, graph, tenancy, and backup operations.
Access ArangoDB through MCP to query, manage, and operate databases.
Turn ArangoDB into a schema-driven MCP server for agent workflows.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.
Safely let AI inspect database schemas and query PostgreSQL and MySQL data.
Let AI read and write MySQL, switch databases, and auto-configure from Spring Boot.