Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' `smolagents` framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the runtime.

AI agent toolkit for accessing and analyzing SEC EDGAR filing data. Build intelligent agents with LangChain, MCP-use, Gradio, Dify, and smolagents to analyze financial statements, insider trading, and company filings.

AI assistant using the SmolAgents library that integrates with Brave Search and Crawl4ai Model Context Protocols (MCP) servers for web searches and scraping. Modular design allows easy addition of new MCP servers and tools.

Ready-to-use smolagents template: Agentic UI, MCP and Native Tools, Multi-agent Orchestration, ToolCalling/Code Agent Examples, Tracing.

MCP server for multi-agent thinking using smolagents

SentinelOne 🛰️ – Climate Risk Agents Multi-agent platform built with Gradio & Smolagents to monitor, process, and analyze environmental data. Provides real-time climate risk assessment & actionable recommendations. 🏆 2nd place at Hugging Face Agents & MCP Hackathon (600+ projects).

MCP Server implementation using smolagents and Claude

This repo utilizes HFs smolagents with MCP

Ai Agent SmolAgents framework and mcp using FastMCP

Connect Smolagents (HuggingFace) to Civic's MCP Hub

Fast Prototyping with Gradio, Smolagents and MCP Servers

Integration of SmolagentS with Model Context Protocol (MCP) tools to build powerful agentic systems

Educational demo: MCP + Smolagents + HuggingFace integration for AI agent tool calling with weather and geocoding services

🎁 ACE (Agentic Context Engineering) module for smolagents - Self-improving agents through evolving playbooks. 1st MCP Birthday Gift 🎂

smolagents for agent orchestration Hugging Face Inference API (multi-provider setup) Tool-calling agents with MCP (Firecrawl) Strong schema enforcement for reliability and reproducibility

MCP Client Distributor Chat is a comprehensive Model Context Protocol (MCP) client application that enables seamless connection to multiple MCP servers and interactive communication with AI agents. Built with modern Gradio interface and powered by smolagents, it provides both simple and advanced implementations for various use cases.

Un sistema multi-agente avanzado que utiliza smolagents y Google Gemini para simular batallas Pokémon basadas en efectividad de tipos, consultando datos reales a través de un servidor Model Context Protocol (MCP).

This project is based on the MCP server that is built using Financialdatasets.ai Api. Server is seamlessly integrated with Agentic framworks like Agno and Smolagents. You can Also use this finance server with IDE

A Gradio-based AI agent powered by smolagents and connected to external tools via Model Context Protocol (MCP). The agent uses a Hugging Face Inference API model to process user queries and dynamically execute code or call remote tools.

this project is about the agentic protocol released by Ibm for communication between to different types of agent and also from different kind of frameworks they made of in this showed it with Smolagents , langchain , with Acp and mcp sdk

A Smolagent based agent that has a chat mode, planning summaries, and a confirmation of Spaces, Tools, or other MCP servers that it plans to use.