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Turn ArangoDB into a schema-driven MCP server for agent workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-arango-mind" yet — see the docs or source repo.
After connecting to ArangoDB, list available collections and graph definitions, then find the relationship path between user A and project B and explain the result in natural language.
Returns relevant collection and graph details, query results, and a clear explanation of the relationship path.
First describe the order database schema, then retrieve high-value orders from the last 30 days, summarize them by customer, and explain which fields and filters were used.
Outputs a schema overview, summarized retrieval results, and traceable details about query fields and filters.
Explore the knowledge base as a graph database: first search node types related to 'supply chain risk,' then describe available relationships, and finally run a query to identify the most critical risk sources.
Provides relevant node and relationship details, query execution results, and a summary of the key risk sources.
Enable AI assistants to run ArangoDB queries, graph, tenancy, and backup operations.
Access ArangoDB through MCP to query, manage, and operate databases.
Enable AI to read, write, and automate versioned ArcticDB time-series workflows.
Safely query SQL and NoSQL databases through AI with zero setup.
Connect AI to MongoDB for CRUD, schema discovery, and collection management.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.