ckg-ai-platforms 0.2.2

AI developer platforms as traversable knowledge graphs — LangChain, LangGraph, OpenAI, Anthropic, HuggingFace, AWS Bedrock, Vertex AI — MCP-native

ckg-ai-platforms

AI developer platforms as traversable knowledge graphs — MCP-native.

7 domains · 314 nodes · 445 edges · 11× fewer tokens than RAG

Domain	Nodes	Edges	Coverage
langchain	48	71	Chains, agents, LCEL, memory, retrievers, LangSmith
langgraph	42	58	Graph state, nodes, edges, cycles, persistence
openai-api	43	59	Chat completions, assistants, embeddings, DALL-E
anthropic-sdk	44	62	Messages API, tool use, prompt caching, computer use
huggingface	46	65	Hub, Transformers, Spaces, Datasets, Inference API
aws-bedrock	46	67	Converse API, Guardrails, Knowledge Bases, agents
vertex-ai	45	63	Model Garden, Gemini API, evaluation, fine-tuning

Install

pip install ckg-ai-platforms
uvx ckg-ai-platforms   # MCP server

Use as MCP server

Add to your Claude Desktop or any MCP client:

{
  "mcpServers": {
    "ai-platforms": {
      "command": "uvx",
      "args": ["ckg-ai-platforms"]
    }
  }
}

Use as Python library

from ckg_ai_platforms import ask_platform, list_domains

# Ask a question — auto-detects platform
result = ask_platform("How does LCEL RunnableSequence work?")
print(result)

# Explicit domain
result = ask_platform("explain tool use", domain="anthropic-sdk")

Source provenance — verifiable to the byte

Every node carries a source_url and a source_hash (SHA-256 of the source document's bytes at extraction time).

curl -s https://python.langchain.com/docs/introduction/ | sha256sum
# expected: 75a86f60f9aa30d3f7f3e407827c17b9df90f17370237bc8a3c80b5c98b33ff5

Via MCP — verify_source("LCEL", "langchain"):

source_url:  https://python.langchain.com/docs/introduction/
source_hash: sha256:75a86f60f9aa30d3f7f3e407827c17b9df90f17370237bc8a3c80b5c98b33ff5
verify:      curl -s '<url>' | sha256sum

Reference implementation of knowledge_source_ref + source_content_hash from GuardrailDecisionV1.

Benchmark

System	Macro F1	Mean tokens	Cost / 1k queries
CKG	0.471	269	$7.81
RAG	0.123	2,982	$76.23
GraphRAG	0.120	~3,000	~$76

dataset · full paper

Licensing

Layer	License	Plain English
Server code — server.py, graph.py, scripts/	MIT (LICENSE-CODE)	Do anything. Fork it, embed it, sell products built on it.
Graph data — domains/*.csv + source hashes	Elastic License 2.0 (LICENSE)	Free for all internal and commercial use. Cannot offer this graph as a competing hosted service.
Extraction pipeline	Proprietary — Graphify.md	Not in this repo.

EVAL

benchmark: ckg-benchmark v0.6.2
dataset: huggingface.co/datasets/danyarm/ckg-benchmark
benchmarked: false
rag_baseline_f1: 0.123
graphrag_baseline_f1: 0.120
mean_tokens: 269
paper: github.com/Yarmoluk/ckg-benchmark/blob/main/paper/main.pdf

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Built by Graphify.md · 97 domains · PyPI · patent pending

Community-built. Not affiliated with LangChain, OpenAI, Anthropic, HuggingFace, AWS, or Google. All referenced trademarks belong to their respective owners.