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Securely connect data sources and developer tools with unified access and auditing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-all-in-one" yet — see the docs or source repo.
Use mcp-all-in-one to connect PostgreSQL and Redash, query sales by region for the last 30 days, and return a summary suitable for reporting.
A region-level sales summary with the data sources and query scope clearly stated.
Access GitHub through mcp-all-in-one, review issue and pull request activity from the past week in a target repository, and list items that need priority attention.
A summary of recent repository activity, a prioritized action list, and auditable operation context.
Use mcp-all-in-one to run a workflow across GitHub and a database, and record permission checks, execution steps, and an audit log summary.
The workflow result plus permission validation details and an audit log summary.
Connect AI to Redash for read-only queries, dashboards, and alerts.
Connect and manage engineering, data, and collaboration platforms through natural language.
Search, inspect, trace, and read business data assets across internal platforms.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Turn existing APIs and databases into MCP tools for direct AI use.
Centralize prompts, model gateways, RAG, and secrets in a shared AI platform.