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SonAIengine/graph-tool-call

v0.3.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 3mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent agentic ai anthropic function-calling hybrid-search
+13 more
langchain llm mcp mcp-server openai openapi python swagger token-optimization tool-calling tool-retrieval workflow-engine zero-dependency

Summary

AI summary

Introduces graph‑structured tool retrieval, hybrid search (BM25+Embedding+RRF), OpenAPI/Arazzo parsing, automatic dependency detection, and LangChain integration.

Full changelog

graph-tool-call v0.3.0 — 첫 공개 릴리스

LLM 에이전트를 위한 그래프 기반 도구 검색 엔진.

주요 기능

  • Graph-structured tool retrieval: NetworkX DiGraph 기반 도구 관계 모델링
  • Hybrid search: BM25 + Embedding + RRF 기반 3-Tier retrieval (BASIC/ENHANCED/FULL)
  • OpenAPI 3.x / Arazzo 1.0.0 파서: API 스펙에서 자동 도구 그래프 구축
  • 자동 의존성 감지: CRUD 패턴, 경로 계층, 스키마 공유 기반
  • 5-Stage 중복 탐지: rapidfuzz + embedding 기반 유사 도구 식별
  • 온톨로지 자동 구성: Auto + LLM-Auto 모드 (Ollama/OpenAI)
  • LangChain 통합: as_langchain_tools() 지원

설치

pip install graph-tool-call              # 코어
pip install graph-tool-call[all]         # 모든 기능
View diff on GitHub

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About SonAIengine/graph-tool-call

When tool count exceeds LLM context limits, accuracy collapses (248 tools → 12%). graph-tool-call builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy to 82% with 79% fewer tokens. Zero dependencies. Also works as an MCP Proxy — aggregate multiple MCP servers behind 3 meta-tools.

All releases →

Related context

Beta — feedback welcome: [email protected]