MCP Search Server

# Basic MCP Agent example This MCP Agent app shows a "finder" Agent which has access to the [fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) and [filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/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" /> ```plaintext ┌──────────┐ ┌──────────────┐ │ Finder │──┬──▶│ Fetch │ │ Agent │ │ │ MCP Server │ └──────────┘ │ └──────────────┘ | ┌──────────────┐ └──▶│ Filesystem │ │ MCP Server │ └──────────────┘ ``` ## `1` App set up First, clone the repo and navigate to the basic‑agent example: ```bash git clone https://github.com/lastmile-ai/mcp-agent.git cd mcp-agent/examples/basic/mcp_basic_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 ``` ## `2` Set up api keys In `main.py`, set your `api_key` in `OpenAISettings` and/or `AnthropicSettings`. ## `3` Run locally Run your MCP Agent app: ```bash uv run main.py ```