DakNode
Email API tools for software agents: inbox creation, message and thread reads, search and sending.
No outside reports on file
DakNode connects to external service APIs; restrict its folder reach, network access, and credentials before installing.
Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourcePyPI (daknode-mcp)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
uvx daknode-mcpAbout DakNode
DakNode is an MCP server focused on Web & browsing and Communication: Email API tools for software agents: inbox creation, message and thread reads, search and sending.
It is published on PyPI as daknode-mcp. Based on its public metadata, its operational scope includes: connects to outside service api.
Setup
These use the package this listing points to. Check the project’s own instructions before running anything.
PyPI command
uvx daknode-mcpPyPI (pip) command
pip install daknode-mcpMCP client config
For Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json).
{
"mcpServers": {
"daknode-mcp": {
"command": "uvx",
"args": [
"daknode-mcp"
]
}
}
}Why this grade
Signal-based grade (0/7 points): no public source code found. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- Listing last refreshed
- 2026-10-24
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- External API & account scope: Connects to third-party service APIs. Use a dedicated, least-privilege token scoped only to the workspaces or repositories this tool needs.
- Dependency & version pinning: Distributed via PyPI (daknode-mcp). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.
How to lower the risk
Least-privilege permissions
- Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
- Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.
Network isolation
- Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
- If your IT team can, limit which websites and services it is allowed to contact.
Monitoring
- Check its activity history or logs weekly at first, and look at what it changed or sent.
- Turn on alerts for new logins or unusual usage on any account it connects to.
Red flags to watch for
- It asks for more access than its job requires, or prompts you to paste passwords.
- It suddenly updates with new owners, or starts contacting unfamiliar websites.
Questions
How do I install DakNode?
Run uvx daknode-mcp (or pip install daknode-mcp) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page.
Are there security reports about DakNode?
No reports found for this package in our research (last checked 2026-10-29). DakNode currently holds Grade F (Many risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.
Is DakNode actively maintained?
We do not have star or download counts on file for DakNode yet (listing refreshed 2026-10-24). Check the commit history and open issues before relying on it.
What are alternatives to DakNode?
You can compare DakNode side by side with other Search MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.
Key facts
- Type
- App connector
- Install command
- pip install daknode-mcp
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Last updated
- 2026-10-24
- Last graded
- 2026-10-24
Community
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