Skip to main content
Glama

MCP Search Server

by Nghiauet
README.md1.92 kB
# marimo MCP Agent example This example [marimo](https://github.com/marimo-team/marimo) notebook shows a "finder" Agent which has access to 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. https://github.com/user-attachments/assets/3396d0e8-94ab-4997-9370-09124db8cdea --- ```plaintext ┌──────────┐ ┌──────────┐ ┌──────────────┐ │ marimo │─────▶│ Finder │──┬──▶│ Fetch │ │ notebook │ │ Agent │ │ │ MCP Server │ └──────────┘ └──────────┘ │ └──────────────┘ │ ┌──────────────┐ └──▶│ Filesystem │ │ MCP Server │ └──────────────┘ ``` ## `1` App set up First, clone the repo and navigate to the marimo agent example: ```bash git clone https://github.com/lastmile-ai/mcp-agent.git cd mcp-agent/examples/usecases/marimo_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 ``` Next modify `mcp_agent.config.yaml` to include directories to which you'd like to give the agent access. ## `2` Run locally Then run with: ```bash OPENAI_API_KEY=<your-api-key> uvx marimo edit --sandbox notebook.py ``` To serve as a read-only app, use ```bash OPENAI_API_KEY=<your-api-key> uvx marimo run --sandbox notebook.py ```

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Nghiauet/mcp-agent'

If you have feedback or need assistance with the MCP directory API, please join our Discord server