FastMCP - Model Context Protocol Server

by ryuichi1208

287 downloads

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Description

# FastMCP - Model Context Protocol Server A lightweight Model Context Protocol (MCP) server implemented with [FastMCP](https://github.com/jlowin/fastmcp), a fast and Pythonic framework for building MCP servers and clients. ## Features - Create, retrieve, update, and delete model…

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Details

Author: ryuichi1208
Downloads: 287
Categories: Developer Tools

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name FastMCP - Model Context Protocol Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

From the repository

Install via provided Unix/Windows scripts or manually using uv. Start the server with python mcp_server.py or uv run python mcp_server.py. Use tools such as create_context, get_context, update_context, delete_context, list_contexts, query_model, health_check, and configure_datadog. It can also be installed as a Claude Desktop tool via fastmcp install.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "fastmcp - model context protocol server": {
            "datadog-mcp-server-ryuichi1208": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "datadog-mcp-server-ryuichi1208": {
        "command": "uv",
        "args": [
            "venv"
        ]
    }
}

FastMCP - Model Context Protocol Server

A lightweight Model Context Protocol (MCP) server implemented with FastMCP, a fast and Pythonic framework for building MCP servers and clients.

Features

- Create, retrieve, update, and delete model contexts
- Query execution against specific contexts
- Filtering by model name and tags
- In-memory storage (for development)
- FastMCP integration for easy MCP server development
- Datadog integration for metrics and monitoring

Requirements

- Python 3.7+
- FastMCP
- uv (recommended for environment management)
- Datadog account (optional, for metrics)

Installation

Using uv (Recommended)

The simplest way to install is using the provided scripts:

Unix/Linux/macOS

```bash

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Description

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

FastMCP - Model Context Protocol Server

Features

Requirements

Installation

Using uv (Recommended)

Unix/Linux/macOS

Install

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