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Query and traverse a drevo graph database through natural language AI tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "drevo-mcp" yet — see the docs or source repo.
Connect to the drevo graph database and find the direct and indirect dependencies between "Order Service" and "Payment Service", listing nodes and edges by level.
A clear relationship path with relevant nodes, edges, and dependency levels.
Starting from the node "Customer Churn", traverse outward two levels, identify related metrics, events, and owners, and summarize the key connections.
A two-level traversal result with a brief summary of the key relationships between entities.
In the drevo graph database, find the upstream sources and downstream systems potentially affected by a failure in the "User Authentication Module", grouped by impact direction.
A categorized impact list by upstream and downstream direction to help analyze failure propagation.
Build a knowledge graph from repos for Q&A and implementation planning.
Connect to Data Graphs for natural-language graph search and querying.
Expose Django REST Framework APIs as secure MCP tools for AI agents.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.
Enable AI to query knowledge graphs via SPARQL and return structured results.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.