DocMCP FAQs

Question 1

Can I use DocMCP with my existing AI IDE?

Accepted Answer

Yes! DocMCP provides built-in MCP (Machine-Client Protocol) tools that allow integration with AI IDEs like Cursor, enabling you to query your documentation directly within your development environment.

Question 2

What kind of documentation can DocMCP handle?

Accepted Answer

DocMCP can crawl and process HTML documentation from websites. It extracts metadata and converts the content into clean Markdown for efficient storage and retrieval.

Question 3

How does DocMCP generate embeddings?

Accepted Answer

DocMCP uses AWS Bedrock to generate embeddings (vector representations) of the documentation content. These embeddings are then stored in a PostgreSQL database using the pgvector extension for efficient similarity search.

Question 4

What is DocMCP?

Accepted Answer

DocMCP is a system that indexes technical documentation, converts it into a vector representation using AWS Bedrock, and allows semantic searching of the content via AI IDE integrations.

Question 5

Does DocMCP support continuous documentation updates?

Accepted Answer

Yes, DocMCP allows you to re-crawl and re-index documentation as it's updated. The job management system provides tracking and detailed progress reporting for all document processing tasks.

DocMCP

DocMCP

主要功能

使用案例

主要功能

使用案例