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MCP server · Developer Tools

Dash0

MCP server for Dash0

Unclaimed MIT last commit a year ago devtools
52Fair

Scored 5 months ago · breakdown

About Dash0

Dash0 is an MCP server published by dash0hq in the Developer Tools category: mCP server for Dash0.

The repository has 2 stars and 1 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/dash0hq/mcp-dash0

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Dash0

Powered by Claude · Grounded in docs

I know everything about Dash0. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 2 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

1 check has not been run yet.

README

Dash0 MCP server

The official Model Context Protocol (MCP) server for Dash0.

Enables AI assistants to navigate your OpenTelemetry resources, investigate incidents and query metrics, logs and traces on Dash0.

The Dash0 MCP server is remote and uses the Streamable HTTP transport.

Usage

See the Dash0 Integrations Hub for instructions on how to connect with the most popular AI agents and coding assistants like Claude, Cline, Cursor and Windsurf.

For custom integrations or integrating with other MCP clients, follow the instructions below:

  1. Log in to the Dash0 app and open your organization settings.

  2. Click on Endpoints > MCP and copy the endpoint URL for your region.

  3. Click on Auth Tokens and create or reuse an existing token with All permissions on the Dataset(s) that you want to work with.

  4. Add the following configuration to your AI assistant or MCP client (the configuration schema may differ depending on the implementation):

    {
      "mcpServers": {
        "dash0": {
          "type": "streamableHttp",
          "url": "{{endpoint_mcp}}",
          "headers": {
            "Authorization": "Bearer {{token}}"
          }
        }
      }
    }
    

    For clients that don't support remote MCP servers or that haven't implemented the Streamable HTTP transport yet, you can use a configuration like the following instead:

    {
      "mcpServers": {
        "dash0": {
          "command": "npx",
          "args": [
            "-y",
            "mcp-remote",
            "{{endpoint_mcp}}",
            "--header",
            "Authorization: Bearer ${DASH0_AUTH_TOKEN}"
          ],
          "env": {
            "DASH0_AUTH_TOKEN": "{{token}}"
          }
        }
      }
    }
    

README fetched from the repository 2 hours ago. The original is authoritative.

Questions

About Dash0

How do I install Dash0?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Dash0 safe to use with an AI agent?

Its trust score is 52 out of 100 (fair). It passes 2 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Dash0 still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.