Skip to main content

Lint and serve Open Knowledge Format (OKF) bundles — a validator and MCP server for the OKF v0.1 spec

Project description

okft

Lint and serve Open Knowledge Format (OKF) bundles.

OKF is Google's open spec for representing organizational knowledge as a directory of markdown files with YAML frontmatter — a knowledge graph that both humans and AI agents can read natively. okft covers the two sides of keeping a bundle healthy and useful:

  • okft lint — validate a bundle against the OKF v0.1 spec, plus hygiene checks (broken links, orphaned concepts, malformed timestamps). Wire it into CI so your knowledge bundle can't rot silently.
  • okft serve — expose a bundle to any MCP-capable AI agent (Claude, Gemini CLI, Cursor, …) as a set of navigation tools: overview, read, search, list. Deterministic graph traversal, no embeddings, no database.

Install

pip install okft          # lint only
pip install 'okft[serve]' # lint + MCP server

Lint

okft lint path/to/bundle
analytics/tables/orders.md:1 error E003 frontmatter must include a non-empty `type` field
analytics/metrics/churn.md:24 warning W001 link target does not resolve in bundle: /analytics/tables/order
engineering/runbook.md:1 warning W004 concept is never linked from any other document

12 concepts checked: 1 error(s), 2 warning(s)

Exit code is 1 on errors (or on warnings with --strict), so it drops straight into CI. --format json emits machine-readable findings.

Rules

Code Severity Check
E001 error concept file has no YAML frontmatter block
E002 error frontmatter is not parseable YAML
E003 error missing or empty type field
E004 error reserved file (index.md / log.md) has frontmatter
W001 warning link target does not resolve inside the bundle¹
W002 warning timestamp is not ISO 8601
W003 warning tags is not a list of strings
W004 warning orphan concept — nothing links to it (--no-orphans to skip)
W005 warning bundle root has no index.md
W006 warning log.md headings are not ISO 8601 dates
W007 warning concept has no title

¹ The spec requires consumers to tolerate broken links, so they are warnings, never conformance errors.

Both standard markdown links (/analytics/tables/customers.md, relative paths) and [[wiki-style]] links are resolved.

Serve to an AI agent

okft serve path/to/bundle

Runs an MCP server (stdio) with four tools:

Tool Purpose
okf_overview root index + every concept grouped by type
okf_read one concept: frontmatter, body, outbound & inbound links
okf_search ranked full-text search with snippets
okf_list filter concepts by type and/or tag

Register it with Claude Code:

claude mcp add acme-brain -- okft serve /path/to/bundle

or in any MCP client config:

{
  "mcpServers": {
    "acme-brain": { "command": "okft", "args": ["serve", "/path/to/bundle"] }
  }
}

Try it

A small example bundle ships in examples/acme_brain:

okft lint examples/acme_brain
okft serve examples/acme_brain

CI example (GitHub Actions)

- uses: actions/setup-python@v5
  with: { python-version: "3.12" }
- run: pip install okft
- run: okft lint knowledge/ --strict

Status

Tracks OKF v0.1. The spec is young and so is this tool — issues and PRs welcome, especially reports of real-world bundles that lint incorrectly.

License

Apache-2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

okft-0.1.0.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

okft-0.1.0-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file okft-0.1.0.tar.gz.

File metadata

  • Download URL: okft-0.1.0.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for okft-0.1.0.tar.gz
Algorithm Hash digest
SHA256 c4270e67570738c96453d36457158da63966440e9f0477d1c6c4dc711d8ad8c4
MD5 fad57f7b6209d09853e571f1e84620a3
BLAKE2b-256 e52dc3386e1ffd587e183c516df84fecc6cf07ebe10fdd8dd91814f79d9ddda8

See more details on using hashes here.

File details

Details for the file okft-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: okft-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 15.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for okft-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6e311132a12de5fdfb594175d50e4e602c3ce0a7686b582723171bb2ae18c4ff
MD5 c4a58946afea1f83c5337c31be756397
BLAKE2b-256 0095499a0ba2bdaf7bb9f76f07755a87b140c1851348e74b391537f22b30205b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page