MCP.Market

SSH MCP server

by pulsemcp.com·com.pulsemcp/ssh·v0.1.5·80 stars
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MCP server for SSH remote server management with SSH agent authentication support.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

80 stars62 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

SSH tools (5, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • ssh_connection_info

    Get information about the configured SSH connection. **Returns:** JSON object with host, port, username, and authentication method details **Use cases:** - Verify SSH connection configuration - Debug connection issues - Confirm which server is being targeted

  • ssh_download

    Download a file from the remote SSH server to the local machine via SFTP. **Returns:** Success message with transfer details **Use cases:** - Retrieve log files for analysis - Download backups or exports - Fetch configuration files for review

  • ssh_executewrite action

    Execute a command on the remote SSH server. **Returns:** JSON object with stdout, stderr, and exit code **Use cases:** - Run shell commands on remote servers - Check system status (uptime, disk space, processes) - Execute scripts or programs remotely - Manage services and applications

  • ssh_list_directory

    List the contents of a directory on the remote SSH server via SFTP. **Returns:** JSON array of directory entries with filename, type, size, permissions, and modification time **Use cases:** - Browse remote file systems - Check for specific files or directories - Verify deployments and file presence

  • ssh_uploadwrite action

    Upload a file from the local machine to the remote SSH server via SFTP. **Returns:** Success message with transfer details **Use cases:** - Deploy configuration files to servers - Upload scripts for remote execution - Transfer data files for processing

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan33 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 28 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How SSH compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 73% of 4,460 AI and agents servers
Tools
5
the typical AI and agents server has 6
Tools that change things
40%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
80
more than 93% of 2,711 AI and agents servers
Downloads a week
62
more than 50% of 1,538 AI and agents servers with a package

What its tools let an agent do: 3 read · 2 change

Install SSH in Claude Code, Cursor or VS Code

Runs npx -y ssh-agent-mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add ssh -- npx -y ssh-agent-mcp-server
Add to Cursor

What the publisher says

From the SSH repository's README, as published. We do not edit it. Read it on GitHub

PulseMCP's MCP Servers

We build reliable servers thoughtfully designed for MCP Client-powered workflows.

Design principles

You can have confidence that any Pulse-branded MCP server was built with these north stars in mind:

  1. Purpose-built. LLM-powered MCP clients offer uniquely new user interaction patterns that necessitate a different layer of abstraction than the REST API's from a pre-AI era. We thoughtfully scope drawing lines like building a new server, versus incorporating a new feature in another server. Or deciding where one slew of REST API endpoints might be better packaged as a single Tool call. And more.
  2. Easy set up. Many MCP servers die before ever getting a chance to be used. We offer guides and a frustration-free experience to get going with our MCP servers inside your favorite MCP clients.
  3. Time savings. By minimizing the number of tool chain steps or conversational turns you need to accomplish a task, our MCP servers will save you (and your agents) time waiting for a task to be completed.
  4. Inference cost savings. By minimizing the number of tokens you need to consume to a accomplish a task, our MCP servers will save you on your LLM inference bills.
  5. Reliability. You should have confidence that you can deploy our servers in a production application serving mass market consumers or business clients.
  6. Future-proof. We sit on the bleeding edge of the MCP specification, working to push the ecosystem forward. As such, you can be sure that if you commit to baking our server into your workflow, it will self-improve over time to take advantage of the latest and greatest MCP features.

Servers Available

Productionized Servers

These are PulseMCP-branded servers that we intend to maintain indefinitely as our own offerings.

The MCP Registry column controls whether the server is published to the official MCP Registry (com.pulsemcp/) by the publish-mcp-registry.yml workflow.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

SSH: common questions

Is SSH MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the SSH safety report
How do I install SSH?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does SSH need an API key?
Yes. The registry entry asks for SSH_PASSPHRASE.
Is SSH maintained?
The last commit was 66 days ago (2026-08-30). The latest release is v0.1.5.
How does SSH compare with other AI and agents MCP servers?
safety score 85/100 (higher than 73% of 4,460 AI and agents servers); tools 5 (the typical AI and agents server has 6); tools that change things 40% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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