Question 1

What is a Knowledge Graph MCP Server?

Accepted Answer

A Knowledge Graph MCP (Model Context Protocol) Server is a service for creating, managing, analyzing, and visualizing knowledge graphs. It complies with the MCP standard, enabling seamless integration with AI assistants like Claude.

Question 2

What are the core features of this MCP Server?

Accepted Answer

The server supports multiple graph types (topology, timelines, etc.), complete error handling, resource management for SVG and Markdown, and version status management.

Question 3

How do I install the Knowledge Graph MCP Server?

Accepted Answer

You can install it via Smithery or manually using npm or pnpm. The installation guide provides detailed instructions for both methods.

Question 4

What are the requirements for installing the MCP Server?

Accepted Answer

You need Node.js version 16.0.0 or higher and pnpm version 7.0.0 or higher.

Question 5

How do I configure the server to work with Claude Desktop?

Accepted Answer

Add the server configuration to your `claude_desktop_config.json` file, specifying the command, arguments, and environment variables, including the path to your knowledge graph directory.

Question 6

How do I use the MCP Server in Cursor?

Accepted Answer

Add the server configuration to your Cursor config file, similar to Claude Desktop, specifying the command, arguments, and environment variables.

Question 7

What is Smithery?

Accepted Answer

Smithery is a tool for automatically installing the knowledge-graph-mcp for Claude Desktop.

Question 8

Where are the prompt files located, and how do I use them?

Accepted Answer

Prompt files are in the `/src/rules/prompts` directory. Copy them to your Cursor rules directory and add them as default rules for Agent mode.

Question 9

How can I trigger knowledge graph queries in Cursor's Agent mode?

Accepted Answer

Type `/ck` in the editor to invoke the prompt defined in `@graph-query.mdc`. The Agent will analyze the context, query the knowledge graph, and integrate results into the conversation.

Question 10

What graph management tools are available?

Accepted Answer

The server provides tools like `create_graph`, `list_graphs`, and `publish_graph` for creating, listing, and publishing knowledge graphs.

Question 11

What node management tools are included?

Accepted Answer

Node management tools include `add_node`, `update_node`, `delete_node`, and `get_node_details` for managing nodes within a graph.

Question 12

What edge management tools are available?

Accepted Answer

Edge management tools include `add_edge`, `update_edge`, and `delete_edge` for managing relationships between nodes.

Question 13

What resource management tools are provided?

Accepted Answer

Resource management tools include `get_creation_guidelines`, `save_resource`, `update_resource`, `delete_resource`, and `unlink_resource` for managing resources like SVG and Markdown files.

Question 14

How does the server handle errors?

Accepted Answer

All errors are logged to the `md/error_log.txt` file with timestamps, error messages, and stack traces.

Question 15

What is MCP?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs.

Question 16

How UBOS related to MCP Server?

Accepted Answer

UBOS is Full-stack AI Agent Development Platform. UBOS focused on bringing AI Agent to every business department. Our platform help you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

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