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Connect to Data Graphs for natural-language graph search and querying.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@datalanguage/datagraphs-mcp-server" yet — see the docs or source repo.
Connect to the Data Graphs knowledge graph and find the main entities related to “OpenAI” plus their one-hop relationships, then summarize them grouped by relationship type.
A list of entities related to OpenAI, grouped relationship types, and a structured summary.
Using the Data Graphs platform, explore nodes and connection paths related to “supply chain risk” and identify the most important associated themes.
Key nodes, possible connection paths, and a summary of themes most related to supply chain risk.
Convert this question into a Data Graphs query and run it: which customers are connected to high-value orders, repeated complaints, and delayed deliveries? Provide the results and rationale.
An executable graph-query approach or result set, plus matching customers and their evidence chains.
Build a knowledge graph from repos for Q&A and implementation planning.
Extract data, retrieve context, and store knowledge in graph databases.
Connect AI to Graphlit for content access, retrieval, and context automation.
Ingest documents into Neo4j to build and query a knowledge graph.
Connect to DataHub catalogs to find datasets, trace lineage, and read metadata.
Build a semantic graph from project files for search, knowledge, and task management.