Question 1

What is Docy?

Accepted Answer

Docy is a Model Context Protocol (MCP) server that provides AI agents with real-time access to technical documentation. It allows AI models to search, retrieve, and navigate documentation from various sources.

Question 2

How does Docy integrate with UBOS?

Accepted Answer

Docy seamlessly integrates with the UBOS AI Agent Development Platform, enhancing the capabilities of AI agents by providing them with accurate and up-to-date documentation access.

Question 3

What are the key benefits of using Docy?

Accepted Answer

Key benefits include instant documentation access, hot-reload support, intelligent caching, self-hosted control, and seamless MCP integration.

Question 4

What type of documentation can Docy access?

Accepted Answer

Docy can access documentation from popular tech stacks like React, Python, and crawl4ai, as well as any other technology for which documentation is available online.

Question 5

How do I add new documentation sources to Docy?

Accepted Answer

You can add new documentation sources by editing the `.docy.urls` file and adding the URLs of the documentation websites you want to include. The server supports hot-reloading, so no restart is needed.

Question 6

What is MCP?

Accepted Answer

MCP stands for Model Context Protocol. It is an open protocol that standardizes how applications provide context to LLMs, enabling AI models to access and interact with external data sources and tools.

Question 7

What is `crawl4ai`?

Accepted Answer

`crawl4ai` is a web scraping tool used by Docy to crawl and index documentation websites, ensuring that the documentation content is up-to-date.

Question 8

How does Docy's caching mechanism work?

Accepted Answer

Docy uses intelligent caching to reduce latency and minimize external requests. It pre-fetches and caches documentation URLs at startup, and the cache TTL can be configured via the `DOCY_CACHE_TTL` environment variable.

Question 9

How can I configure Docy?

Accepted Answer

Docy can be configured using environment variables or a `.docy.urls` file. Environment variables allow you to customize various settings, such as the documentation URLs, cache TTL, and cache directory.

Question 10

What is the recommended way to install Docy?

Accepted Answer

The recommended way to install Docy is using `uv`. Alternatively, you can use `pip` or Docker.

Question 11

How do I ensure that Claude Code prioritizes Docy for documentation-related tasks?

Accepted Answer

Add specific guidelines to your project's `CLAUDE.md` file, instructing Claude Code to prefer using Docy over WebFetchTool for documentation tasks.

Question 12

What are the available tools in Docy?

Accepted Answer

Available tools include `list_documentation_sources_tool`, `fetch_documentation_page`, and `fetch_document_links`.

Question 13

How do I use the MCP inspector to debug Docy?

Accepted Answer

You can use the MCP inspector with Docy using the command `DOCY_DOCUMENTATION_URLS="https://docs.crawl4ai.com/" npx @modelcontextprotocol/inspector uvx mcp-server-docy`.

Question 14

Is Docy open source?

Accepted Answer

Yes, mcp-server-docy is licensed under the MIT License.

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