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Generate, search, and reason over knowledge graphs from data sources without API keys.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "okfgen-mcp" yet — see the docs or source repo.
Scan this project codebase, extract modules, functions, dependencies, and call chains, generate a searchable knowledge graph, and summarize the core architecture.
A project entity-relationship graph plus a summary of the system structure and key dependencies.
Unify the database schema, field descriptions, and product docs into a knowledge graph, then find the data entities, business rules, and document sources related to 'order delays'.
Relevant tables, fields, rules, and document nodes, with the relationship paths connecting them.
Ingest relevant datasets from multiple open-data portals, build a knowledge graph, and analyze potential relationships between urban air quality and traffic volume.
An integrated knowledge graph, traceable data sources, and a summary of research findings based on the discovered relationships.
Adds nodes, edges, and semantic retrieval to agent knowledge graphs.
Build a project knowledge graph for code search, traversal, and Q&A.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Build and query a codebase knowledge graph with relationships and rationale.
Search, read, and analyze wiki content with graph and vector tools.
Query code structure and cross-language relationships via MCP with auditable access logs.