Tools Reference

Available MCP tools for llm.energy.

New Tools

Two new verification tools added: verify_llms_txt and discover_documentation_urls

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extract_documentation

Extract and parse documentation from a website with llms.txt support.

Parameters

Name	Type	Required	Description
url	string	Yes	Documentation site URL

Example

{
  "url": "docs.anthropic.com"
}

Output

• Extraction summary
• List of parsed documents with token counts
• Statistics (processing time, document count, total tokens)

Caching

After extraction, documentation is cached for quick access via other tools.

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verify_llms_txt

Verify if a URL has llms.txt and retrieve file information.

Parameters

Name	Type	Required	Description
url	string	Yes	Website URL to verify

Example

{
  "url": "docs.stripe.com"
}

Output

• Verification status (online/offline/error)
• File size and last modified date
• Content type and server information
• llms.txt URL location

Real-time Verification

This tool performs live HTTP checks - perfect for validating sites before extraction.

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discover_documentation_urls

Intelligently discover documentation URLs for a domain.

Parameters

Name	Type	Required	Description
domain	string	Yes	Base domain to scan

Example

{
  "domain": "anthropic.com"
}

Output

• Discovered documentation URLs
• Subdomain patterns (docs., api., developers.*)
• Confidence scores for each URL
• Platform detection (GitBook, ReadMe, etc.)

Smart Discovery

Checks 50+ common documentation patterns, subdomains, and platform-specific locations.

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fetch_llms_txt

Fetch raw llms.txt content without parsing.

Parameters

Name	Type	Required	Description
url	string	Yes	Documentation site URL
full	boolean	No	Fetch llms-full.txt instead (default: true)

Example

{
  "url": "modelcontextprotocol.io",
  "full": true
}

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get_document

Retrieve a specific document from the cache.

Parameters

Name	Type	Required	Description
name	string	Yes	Document filename

Example

{
  "name": "getting-started.md"
}

---

list_documents

List all cached documents.

Output

Array of document names with metadata:

• Filename
• Token count
• Section title