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AI Ops MCP

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AI Ops MCP is a local SSH credential broker and stdio MCP server. It lets AI clients perform SSH and SFTP operations through stable server_id aliases without receiving passwords, private-key contents, or private-key passphrases.

WARNING

AI Ops MCP protects the authentication boundary; it does not classify, approve, or block remote commands. Every command runs with the configured SSH account's permissions. Use dedicated, least-privilege accounts and server-side controls.

Version 0.1.0 is distributed from source only. This project is not published to npm.

Features

  • Interactive server enrollment and trusted Host key pinning

  • SSH Agent, system credential store password, and private-key authentication

  • Windows Credential Manager, macOS Keychain, and Linux Secret Service integration

  • Connection pooling with per-server and global concurrency limits

  • Remote commands, uploads, downloads, and directory listings

  • Local and remote file path boundaries, timeouts, output limits, and file-size limits

  • Structured audit logs with stable public error codes

Security Model

Passwords and private-key passphrases are requested through hidden prompts and stored in the operating system credential store. Non-secret connection metadata is stored in a private local configuration file. Private keys remain files on the local machine and are read only when connecting. Host key fingerprints are confirmed during enrollment and later changes are rejected.

The MCP interface cannot enumerate or export credentials. By default, local file operations are limited to the MCP process working directory; additional local and remote roots can be configured per server. Audit logs may contain commands and paths, so protect them as operational data. See SECURITY.md for vulnerability reporting.

This model does not protect against a compromised local user account, malicious remote output, a compromised remote host, or destructive commands issued with valid SSH permissions.

Requirements

  • Node.js 22 or 24

  • Git and an accessible SSH server

  • A verified SSH Host key fingerprint

  • One supported authentication method

  • Linux password/passphrase users: a running Secret Service provider

Windows Credential Manager has been validated on Windows 10 with Node.js 24. macOS Keychain and Linux Secret Service need broader real-device feedback.

Install and Build

git clone https://github.com/Finn-Aigc/ai-ops-mcp.git
cd ai-ops-mcp
npm ci
npm run typecheck
npm test
npm run build
npm link
ai-ops doctor

npm link exposes ai-ops and ai-ops-mcp locally. Run npm run dev -- --help during CLI development, or npm start -- --help after building.

Authentication

SSH Agent

Load a key into your system Agent, then either run ai-ops add --auth agent or import effective OpenSSH metadata:

ai-ops import-ssh my-host-alias

System Credential Store Password

ai-ops add --id dev-box --host ssh.example.com --user deploy --auth password

The password is requested interactively and cannot be passed as a command-line value.

Private Key File

ai-ops add --id dev-key --host ssh.example.com --user deploy \
  --auth private-key --key <path-to-private-key>

The key stays at the provided path. If encrypted, its passphrase is requested interactively and stored in the system credential store.

CLI Reference

Command

Purpose

ai-ops add

Add a server and confirm its Host key

ai-ops import-ssh <alias>

Import effective OpenSSH metadata for Agent auth

ai-ops list [--json]

List aliases and credential readiness

ai-ops show <id>

Show non-secret server metadata

ai-ops test <id>

Test a connection

ai-ops edit <id>

Update metadata, roots, or stored secrets

ai-ops remove <id>

Remove metadata and stored credentials

ai-ops trust-host <id>

Replace a verified Host key fingerprint

ai-ops doctor [--json]

Diagnose configuration, keyring, and Agent access

ai-ops logs

Read filtered audit events

Use ai-ops <command> --help for all options. Never automate password or passphrase entry through command arguments.

MCP Client Configuration

After npm link, configure any stdio MCP client with:

{
  "mcpServers": {
    "ai-ops": {
      "command": "ai-ops-mcp"
    }
  }
}

For development without linking, build first and use node with "<absolute-path-to-repository>/dist/mcp-entry.js" as the only argument.

MCP Tools

Tool

Purpose

list_servers

List configured aliases and readiness without credentials

test_connection

Test one server_id

execute_command

Run an arbitrary remote command

upload_file

Upload a file from an allowed local root

download_file

Download a file into an allowed local root

list_dir

List an allowed remote directory

Defaults are 30 seconds per command, 10 MiB combined command output, 100 MiB per file, four concurrent operations per server, and 16 globally. Server settings can reduce or tailor these limits.

Troubleshooting

  • Run ai-ops doctor first for keyring, Agent, configuration, and server diagnostics.

  • HOST_KEY_MISMATCH: verify the new fingerprint out of band, then run ai-ops trust-host <id>.

  • AGENT_UNAVAILABLE: start an SSH Agent and load a key with ssh-add.

  • CREDENTIAL_STORE_UNAVAILABLE: unlock or start the platform credential service.

  • LOCAL_PATH_NOT_ALLOWED or REMOTE_PATH_NOT_ALLOWED: update roots with ai-ops edit <id> --allowed-local ... --allowed-remote ....

  • MCP process exits immediately: run npm run build and confirm the configured executable or absolute entry path.

Local Live E2E Tests

Live tests intentionally stay out of GitHub Actions. Use an isolated home and a dedicated, low-privilege server account that may create temporary files under /tmp and update its own ~/.ssh/authorized_keys:

$env:AI_OPS_HOME = "<isolated-ai-ops-home>"
$env:AI_OPS_E2E_SERVER_ID = "test-server"
npm run build
npm run test:e2e:core
npm run test:e2e:mcp
npm run test:e2e:auth
npm run test:e2e:agent
npm run test:e2e:cleanup

Each test uses unique resources and cleans them in finally blocks. Never use production credentials or configuration. See CONTRIBUTING.md, docs/PRD.md, and docs/IMPLEMENTATION_PLAN.md.

License

MIT © 2026 AI Ops MCP contributors.

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Maintenance

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