📡 MCP Radar

vinodborole/okf-kit

Turn any website into a portable, agent-ready Open Knowledge Format (OKF) bundle — no LLM required. Crawl, sync, chat offline, and serve docs to coding agents over MCP.

5 stars
0 forks
Python
momentum ▲ 10.0
created 2026-07-06
on radar since 2026-07-10
star trend 3 → 5 since 2026-07-10
ai-agentsclaudeclidocumentationknowledge-basellmmarkdownmcpmodel-context-protocolollamaopen-knowledge-formatpythonragweb-crawler
View on GitHub ↗Homepage ↗

About okf-kit

Turn any website into a portable, agent-ready knowledge bundle — no LLM required to start.

okf-kit crawls a site into a Google Open Knowledge Format (OKF) bundle: a directory of markdown concept files with YAML frontmatter and per-directory index.md listings that any agent can navigate with plain file reads. Build it, keep it in sync as the site changes, publish it, and chat with it — locally, with your own key, or fully offline via Ollama.

Part of the calknowledge ecosystem — okf-kit is the lightweight, open library; calknowledge is the full platform (LLM enrichment, RAG export, retrieval evals, GUI) built on top of it.

Everyone re-crawls and re-indexes the same docs privately and badly. okf-kit makes a website's knowledge a portable artifact:

- Agents can read an OKF bundle; they can't read your website. The bundle is navigable markdown — no scraping, no SDK, no runtime. - Faithful markdown, not text soup. Real extraction (headings, code, tables), boilerplate filtered, JS-rendered when needed. - Self-maintaining. okf sync updates only what changed, so a published bundle in git produces small delta commits and never goes stale. - Works with any LLM, or none. Chat via OpenAI, Ollama, vLLM, OpenRouter, or Claude — or get a zero-key retrieval answer with citations.

The default install has no browser and no LLM SDK — it installs in seconds.

Tip: install into a dedicated virtualenv so okf-kit's dependencies don't mix with your other projects:

From the project README.

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