A Model Context Protocol server for Excel file manipulation
-
Updated
Jun 11, 2025 - Python
A Model Context Protocol server for Excel file manipulation
Arcade Python SDK, CLI, and toolkits
Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.
A template repo for writing and publishing local, remote, and binary MCP servers using Deno.
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
tool management service for performing vector tool calling at scale.
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.
Open WebUI Tools for Google Services: Manage contacts, send emails, and schedule Google Meet meetings directly from your AI assistant using Google APIs.
A collection of Model Context Protocol (MCP) servers by IBM.
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 project demonstrates a LangChain-based chatbot that integrates with a database to perform tasks like checking order statuses, registering new orders, and querying product inventory.It uses function calling and memory management to create a seamless user experience.The chatbot interacts with users through a web interface
Convert a function into the OpenAi template
Unleash dynamic multi-agent intelligence that fuses smart web searches with real-time financial insights and seamless PDF wizardry. Powered by PhiData’s robust financial data Agents and using Llama3 70B's as LLM for Agent supervisor Agent Orchestration
Add a description, image, and links to the toolcalling topic page so that developers can more easily learn about it.
To associate your repository with the toolcalling topic, visit your repo's landing page and select "manage topics."