toolcalling

A Model Context Protocol server for Excel file manipulation

Arcade Tool Development Kit (TDK), Worker, Evals, and CLI

A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.

soulshack, an irc chatbot. openai/ollama/gemini/anthropic apis. basic shell tools and mcp server support.

A template repo for writing and publishing local, remote, DXT, and binary MCP servers using Deno.

Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.

an agent that manages a folder of project descriptions as blocks and mix them to generate an optimal resume for a given job description

DEPRECATED AI Chat assistant with access to Github, Google (calendar/mail/etc), Slack, Twitter, and more all through Arcade tools

Powerful primitives that simplify LLM calling - developed by Assistant Engine.

The Open eXecution Protocol Specification

Open WebUI Tools for Google Services: Manage contacts, send emails, and schedule Google Meet meetings directly from your AI assistant using Google APIs.

tool management service for performing vector tool calling at scale.

A service that enables LLMs without native OpenAI tool calling support to simulate standard OpenAI tool calling, support claude code、roocode、kilocode,etc.

Open WebUI Tool Template & Skeleton: A starting point and guide for developing custom tools to extend your AI assistant's capabilities in Open WebUI. Includes examples and best practices.

A LangGraph-powered fantasy RPG engine that builds an agentic world while utilizing tool-calling, retrieval-augmented generation (RAG), and dynamic summarization for efficient token usage. Players interact with evolving storylines, NPCs, inventory, and game logic through a language model acting as the game master.

Arcade Tools for using LLMs to interact with Obsidian Vault contents

Open eXecution Protocol spec docs

llm-tool-fusion é uma biblioteca Python que unifica e simplifica o uso de ferramentas com LLMs. Compatível com frameworks como Ollama, LangChain e OpenAI, facilita a integração de funções e módulos, tornando o desenvolvimento de apps de IA mais ágil e modular.

This Python script demonstrates how to use Google's Gemini AI models with function calling capabilities. It sets up a chat interface where a user can interact with a Gemini model.

This is a minimal demo project to show the capabilities of a tool calling using LangChain, it contains all the things you required to build a basic agent-based tool-call system.