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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.
Connect data sources and let LLMs reason over the retrieved data.
Build a knowledge graph from repos for Q&A and implementation planning.
Provide persistent graph memory, semantic search, and traversal for AI agents.
Extract data, retrieve context, and store knowledge in graph databases.
Search, inspect, trace, and read business data assets across internal platforms.
Connect AI to Graphlit for content access, retrieval, and context automation.