SonAIengine/graph-tool-call

v0.15.0 Breaking

This release includes breaking changes for platform teams planning a safe upgrade.

Published 2mo MCP Developer Tools

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✓ 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

Workflow Planning API adds JSON save/load and manual editing capabilities.

Full changelog

Highlights

Workflow Planning API

tg.plan_workflow("process a refund") → returns ordered execution chain with prerequisites
Manual editing: plan.insert_step(), plan.remove_step(), plan.reorder()
JSON save/load for sharing workflows

Visual Workflow Editor

Browser-based drag-and-drop editor (plan.open_editor())
Zero-dependency single HTML file

SSE/Streamable-HTTP Transport

Remote MCP deployment: graph-tool-call serve --transport sse --port 8000
1:N client connections (team sharing)

Architecture Improvements

Graph → candidate injection (removed from wRRF fusion)
set_weights() bug fix
Resource-first search generalized (removed 49 GitHub-specific aliases)

Benchmarks

1068 tool stress test (GitHub full API): 78% Recall@5
6-strategy competitive benchmark across 9 datasets

Install

```bash
pip install graph-tool-call==0.15.0
```

Full Changelog: https://github.com/SonAIengine/graph-tool-call/compare/v0.14.0...v0.15.0

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.

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