Question 1

What is the MCP Server for Code Graph?

Accepted Answer

The MCP Server for Code Graph is a tool that generates a graph representation of your codebase, identifying entities (functions, classes, imports) and their relationships. This allows AI Agents to understand and interact with your code more effectively.

Question 2

Which programming languages does the MCP Server support?

Accepted Answer

The MCP Server currently supports Python, JavaScript, and Rust.

Question 3

How does the MCP Server integrate with UBOS?

Accepted Answer

By integrating the MCP Server into the UBOS platform, AI Agents gain a deeper understanding of the code they are interacting with. This enables them to perform tasks more effectively, automate code analysis, and streamline the development workflow.

Question 4

How do I install the MCP Server?

Accepted Answer

You can install the MCP Server using npm: `npm install -g @cartographai/mcp-server-codegraph`.

Question 5

How do I use the MCP Server?

Accepted Answer

Run the server, pointing it to your codebase directory: `npx @cartographai/mcp-server-codegraph /path/to/directory`.

Question 6

What are the main features of the MCP Server?

Accepted Answer

The MCP Server offers features such as codebase graph generation, entity and relationship identification, multi-language support, and tools for listing file entities and exploring entity relationships.

Question 7

How does the MCP server help with AI-powered code completion?

Accepted Answer

The MCP Server helps by understanding the context of the code. It provides structured information about codebase structure and relationships, which improves the accuracy and relevance of code completion suggestions.

Question 8

Can the MCP server identify bugs and vulnerabilities?

Accepted Answer

Yes, AI Agents can use the graph representation to identify potential bugs and vulnerabilities. By analyzing the relationships between entities, the AI can detect anomalies and potential error points.

Question 9

How can the MCP server assist in code optimization?

Accepted Answer

The MCP Server can help AI Agents identify areas for code optimization by analyzing the performance characteristics of different code sections, and suggesting improvements to enhance efficiency.

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