MCP Search Server

# MCP Ollama Agent example This example shows a "finder" Agent using llama models to access the 'fetch' and 'filesystem' MCP servers. You can ask it information about local files or URLs, and it will make the determination on what to use at what time to satisfy the request. <img width="2160" alt="Image" src="https://github.com/user-attachments/assets/14cbfdf4-306f-486b-9ec1-6576acf0aeb7" /> ## `1` App set up First, clone the repo and navigate to the MCP Basic Ollama Agent example: ```bash git clone https://github.com/lastmile-ai/mcp-agent.git cd mcp-agent/examples/model_providers/mcp_basic_ollama_agent ``` Install `uv` (if you don’t have it): ```bash pip install uv ``` Sync `mcp-agent` project dependencies: ```bash uv sync ``` Install requirements specific to this example: ```bash uv pip install -r requirements.txt ``` Make sure you have [Ollama installed](https://ollama.com/download). Then pull the required models for the example: ```bash ollama run llama3.2:3b ollama run llama3.1:8b ``` ## `2` Run locally Then simply run the example: `uv run main.py`