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The Model Context Protocol (MCP) is an open standard for AI model communication.
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wxflows

GitHub
Website

The watsonx.ai Flows Engine repository provides tools to build, run, and deploy AI agent tools from various data sources, enabling integration with frameworks like LangChain and watsonx.ai for diverse applications.

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watsonx.ai Flows Engine

Build, run & deploy Tools for AI Agents

The watsonx.ai Flows Engine enables the creation, execution, and deployment of tools for AI agents. These tools, built from diverse data sources, can be deployed to cloud endpoints and integrated into any Agentic Framework using Python & JavaScript SDKs.

The engine provides a range of pre-built tools, including those for accessing exchange rates, Wikipedia, Google Books, mathematical functions, and weather data. Users can also build custom tools.

RESOURCES: VIDEOS | BLOGS | DOCUMENTATION | DISCORD | FREE SIGNUP

Tools

Includes tools for: exchange, wikipedia, google_books, math, weather, and more. all tools

⌘— Build your own tool ⌘—

Integrations

Supports integrations with: LangGraph, LangChain, watsonx.ai, and OpenAI.

Examples

Provides examples for: End-to-end Agent Chat App, Text-to-SQL Agent, YouTube transcription agent, Math agent, Model Context Protocol (MCP), Tool Calling (LangGraph, LangChain, watsonx.ai, OpenAI), RAG, and Summarization.

Support

For questions or feedback, please join the Discord community.

Repository

IB
IBM

IBM/wxflows

Created

July 1, 2024

Updated

March 28, 2025

Category

AI