toyaikit

by alexeygrigorev · MCP 服务器 · ★ 30

About toyaikit

ToyAIKit ToyAIKit is a minimalistic Python library for building AI assistants powered by Large Language Models (LLMs). It provides a simple yet powerful framework for creating agentic conversational systems with advanced capabilities including function calling, tool integration, and multi-provider support. Purpose This library is designed for educational purposes and learning about AI agents.

Quick Facts

Stars30
Forks8
LanguagePython
CategoryMCP 服务器
Quality Score29.75/100
Last Updated2026-05-24
Created2025-07-18
Platformsmcp, python
Est. Tokens~30k

Compatible Skills

These tools work well together with toyaikit for enhanced workflows:

  • empower-functions — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • tool2schema — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
  • tiny_fnc_engine — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (58%)
  • ToolMaker — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)
  • claudetools — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is toyaikit?

toyaikit is Minimalistic implementation for LLM-based chat assistants with Tool Use (function calling) and MCP. It is categorized as a MCP 服务器 with 30 GitHub stars.

What programming language is toyaikit written in?

toyaikit is primarily written in Python.

How do I install or use toyaikit?

You can find installation instructions and usage details in the toyaikit GitHub repository at github.com/alexeygrigorev/toyaikit. The project has 30 stars and 8 forks, indicating an active community.

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