- ACCURACY
- SPEED
- CONTEXT
- HUMAN
Short answer
How do I stop my AI from hallucinating code?
Point your agent to the DevDocs registry to feed it precise Markdown files. It replaces guesswork with actual technical specs from the registry. You get code that actually works with the libraries you use.
The outcomes.
What your AI achieves.
The agent moves from guessing to knowing.
ACCURACY
Zero hallucinated syntax
The agent pulls specific Markdown files to ensure every function call matches the current documentation.
SPEED
Instant library lookups
Instead of searching the web, your agent finds the exact library or page it needs immediately.
CONTEXT
Deep technical grounding
Your agent builds its responses around the actual structure of the documentation it reads.
HUMAN
Manual verification needed
You still need to review complex architectural implementations that the documentation doesn't cover.
The workflow
What your AI does when documentation is requested.
The agent follows a logical path to find and ingest the right data.
Identify available libraries
The agent checks the DevDocs registry to see which specific libraries are available for use.
list_librariesLocate specific topics
Once it knows the library, the agent searches for the exact function or module you asked about.
search_docsIngest the Markdown
The agent reads the actual content of the documentation page to get the raw technical details.
read_pageApply the logic
The agent uses the ingested Markdown to write code that follows the documented rules.
read_page
Try it
Copy these to start.
Use these prompts to kick off the grounding process.
Starting points
Swap out the library names and function calls for the ones you are actually working with.
DevDocs Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_gtakRsXSjvJKMPo5mT3ZHr5dIo7MUph0terDEOB9/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — DevDocs capabilities are ready to use.
{
"mcpServers": {
"devdocs-mcp": {
"url": "https://edge.vinkius.com/vk_preview_gtakRsXSjvJKMPo5mT3ZHr5dIo7MUph0terDEOB9/mcp"
}
}
}List all the libraries available in DevDocs so I know what you can access.
Search the DevDocs registry for documentation on the React Query library.
Read the documentation page for the Axios fetch method and explain the parameters.
Using the documentation you just read, write a TypeScript function for this specific use case.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect DevDocs once, then ask.
Click the link to connect. Your credentials stay encrypted, and you can start prompting your agent immediately.
Connect DevDocs to your AIFAQ
How the connector behaves.
- 01
Can the AI update the documentation?
No. The agent can only read existing documentation; it cannot write or edit files in the DevDocs registry.
- 02
Does it work with any library?
It works with any library currently hosted in the DevDocs registry.
- 03
Can the AI write code based on these docs?
Yes. Once it reads the Markdown, it uses that information to generate code snippets.
- 04
Will the AI delete my local files?
No. This connector only has permission to read data from the registry. It cannot touch your local file system.
- 05
How does it handle outdated docs?
It only sees what is in the registry. If the registry has outdated info, the AI will use that info.
More questions about DevDocs? The Connector page answers them. See everything the DevDocs Connector can do
Connect DevDocs to Claude, Cursor, ChatGPT & more
