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LLM Context Files

Klozeo publishes machine-readable documentation at build time so that AI assistants and agents can ingest it directly, without scraping HTML.

This is based on the llmstxt.org convention.


FileURLWhat’s in it
llms.txtdocs.klozeo.com/llms.txtIndex — links to all other files with descriptions
llms-full.txtdocs.klozeo.com/llms-full.txtComplete documentation, all pages in markdown
llms-small.txtdocs.klozeo.com/llms-small.txtCompact version — tips, notes, and whitespace removed

For large context windows where you only need a specific area:

FileURLContent
API Referencedocs.klozeo.com/_llms-txt/api-reference.txtLeads, Notes, Attributes, Scoring Rules, Webhooks, Export
MCP Integrationdocs.klozeo.com/_llms-txt/mcp-integration.txtClaude Desktop, Claude Code, Cursor, Cline setup guides
SDKsdocs.klozeo.com/_llms-txt/sdks.txtTypeScript, Python, Go, Rust SDK documentation

Building something with the full API → use llms-full.txt or the api-reference.txt subset.

Tight context window → use llms-small.txt — same coverage, ~40% smaller.

Connecting via MCP → use mcp-integration.txt — has all the setup steps for every supported client.

Asking an AI assistant a quick question → point it at llms.txt first — it will pick the right subset.


Read https://docs.klozeo.com/llms-full.txt then help me implement lead filtering with the Go SDK.

Add to your project’s CLAUDE.md or .cursor/rules:

Klozeo API docs: https://docs.klozeo.com/llms-full.txt

If you’ve set up the Klozeo MCP integration, your AI client already has live access to your lead data. The context files complement MCP — they document the API itself, not your data.