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Manage Python function knowledge graphs for dynamic, secure script composition and execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-kg-skills" yet — see the docs or source repo.
Find reusable Python functions in the knowledge graph for reading CSV files, cleaning missing values, and summarizing sales data. Assemble them into an executable script, handle dependencies automatically, and do not expose secrets from environment variables.
An executable Python script with required dependencies, using environment variables securely during execution.
Search the Neo4j knowledge graph for functions and documentation related to sending HTTP requests and parsing JSON. Create an invocation plan and generate a sample script.
A summary of relevant functions and docs, a recommended call sequence, and runnable sample code.
Assemble an automation script that reads an API key from environment variables, fetches data from an external API, processes it, and writes it to a local file. Automatically install missing dependencies and keep the secret protected.
A secure automated script workflow that manages dependencies automatically, produces the output file, and does not leak secrets.
Build a project knowledge graph for code search, traversal, and Q&A.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Retrieves company context and presents it as rules, reasoning, skills, and commands.
Expose Agent Skills as MCP tools for coding agents to discover and activate instructions.
Adds nodes, edges, and semantic retrieval to agent knowledge graphs.