mcpm

MCP package manager -- search, install, and audit MCP servers from your terminal.

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66% of MCP servers have security findings (AgentSeal scan). Most registries don't tell you that. mcpm runs a trust assessment on every install -- checking for hardcoded secrets, prompt injection patterns, typosquatting, and suspicious argument schemas -- so you know what you're adding to your AI tools before it runs.

Quick start

npm install -g @getmcpm/cli

mcpm search filesystem
mcpm info io.github.domdomegg/filesystem-mcp
mcpm install io.github.domdomegg/filesystem-mcp

Features

Search the MCP registry

Query the official MCP Registry and see results with trust indicators.

$ mcpm search filesystem

  Name                                              Description                    Score
  io.github.domdomegg/filesystem-mcp                 File system access via MCP     82/100
  io.github.Digital-Defiance/mcp-filesystem           Read-only filesystem server    67/100
  ...

Install with trust assessment

Every install runs a metadata-based trust assessment before writing config.

$ mcpm install io.github.domdomegg/filesystem-mcp

  Trust Score: 82/100 (safe)
    Health check:    30/30
    Static scan:     32/40
    External scan:    —  (install mcp-scan for full coverage)
    Registry meta:   10/10

  Install to Claude Desktop? (Y/n)

Audit installed servers

Scan everything you have installed. Get a trust report.

$ mcpm audit

  Server                                   Client          Score   Level
  servers-filesystem                        Claude Desktop  82/100  safe
  servers-github                            Cursor          74/100  caution
  some-sketchy-server                       VS Code         31/100  risky

Cross-IDE support

One tool for all your AI clients. mcpm reads and writes the correct config format for each.

$ mcpm list

  Client            Server Name                  Status     Command/URL
  Claude Desktop    servers-filesystem           active     npx -y servers-filesystem
  Claude Desktop    servers-github               active     npx -y servers-github
  Cursor            servers-fetch                disabled   npx -y servers-fetch

Doctor: check your MCP setup health

Find misconfigurations, missing runtimes, and broken servers.

$ mcpm doctor

  Checking MCP setup...
  [pass] Claude Desktop config found
  [pass] Node.js >= 20.0.0
  [warn] Cursor config not found
  [pass] 3 servers installed, 0 with errors

Stack files: docker-compose for MCP

Declare your project's MCP servers in mcpm.yaml, lock versions with trust snapshots, and let every team member replicate the setup with one command.

mcpm export > mcpm.yaml          # dump current setup
mcpm lock                        # resolve versions + trust snapshot
mcpm up                          # install everything from mcpm.yaml
mcpm diff                        # compare installed vs declared state

Stack files include a trust policy. If a server's trust score drops below the threshold, mcpm up blocks it.

version: "1"
policy:
  minTrustScore: 60
  blockOnScoreDrop: true
servers:
  io.github.domdomegg/filesystem-mcp:
    version: "^1.0.0"
  io.github.modelcontextprotocol/servers-github:
    version: "1.2.3"
    env:
      GITHUB_TOKEN: { required: true, secret: true }

Starter packs

Get a working MCP setup in one command.

$ mcpm init developer

  Installing 'developer' pack: Essential developer tools
    Installing servers-filesystem... done
    Installing servers-git... done
    Installing servers-github... done
  Installed 3/3 servers.

Available packs: developer (filesystem, git, GitHub), data (PostgreSQL, SQLite), web (HTTP fetch, Puppeteer).

Trust score

The trust score is a 0-100 assessment based on publicly available metadata. It is not a source code audit.

What it checks:

Component	Points	What it measures
Health check	0-30	Can the server start and respond to list_tools?
Static scan	0-40	Regex-based detection of hardcoded secrets, prompt injection patterns in tool descriptions, typosquatting in package names, suspicious argument schemas
External scanner	0-20	Results from MCP-Scan if installed (optional)
Registry metadata	0-10	Verified publisher, publish date, download count (capped to 0 when critical findings present)

Levels: safe (80+), caution (50-79), risky (below 50).

Without an external scanner installed, the maximum possible score is 80/100. The static scan catches common patterns but cannot detect all vulnerabilities. Treat the score as a signal, not a guarantee.

Commands

Command	Description
mcpm search <query>	Search the MCP registry for servers
mcpm install <name>	Install an MCP server from the registry
mcpm info <name>	Show full details for an MCP server
mcpm list	List all installed MCP servers across detected AI clients
mcpm remove <name>	Remove an MCP server from client config(s)
mcpm audit	Scan all installed servers and produce a trust report
mcpm update	Check for newer versions and update installed servers
mcpm doctor	Check MCP setup health and report issues
mcpm init <pack>	Install a curated starter pack of MCP servers
mcpm disable <name>	Disable an MCP server without removing it from config
mcpm enable <name>	Re-enable a previously disabled MCP server
mcpm import	Import existing MCP servers from client config files
mcpm alias	Create short aliases for long MCP server names
mcpm export	Export installed servers as an mcpm.yaml stack file
mcpm lock	Resolve versions and create mcpm-lock.yaml with trust snapshots
mcpm up	Install all servers from mcpm.yaml with trust verification
mcpm diff	Compare installed servers against mcpm.yaml and lock file
mcpm completions <shell>	Generate shell completion scripts (bash, zsh, fish)
mcpm serve	Start mcpm as an MCP server (stdio transport)

Run mcpm <command> --help for options and flags.

Agent mode

mcpm can run as an MCP server itself, letting AI agents search, install, and audit MCP servers programmatically.

{
  "mcpServers": {
    "mcpm": {
      "command": "npx",
      "args": ["-y", "@getmcpm/cli", "serve"]
    }
  }
}

This exposes 9 tools: mcpm_search, mcpm_install, mcpm_info, mcpm_list, mcpm_remove, mcpm_audit, mcpm_doctor, mcpm_setup, and mcpm_up.

The mcpm_setup tool takes a natural language description like "filesystem and GitHub" and handles everything: search, trust scoring, install. One tool call to assemble a working MCP toolchain.

Try it -- add the config above to your MCP client, restart, then ask your agent:

You have mcpm tools available (from @getmcpm/cli, the MCP package manager, not the Minecraft one). Use them to find MCP servers for filesystem access and GitHub. Check their trust scores and install anything above 60.

Supported clients

Client	Config path (macOS)
Claude Desktop	~/Library/Application Support/Claude/claude_desktop_config.json
Cursor	~/.cursor/mcp.json
VS Code	~/Library/Application Support/Code/User/mcp.json
Windsurf	~/.codeium/windsurf/mcp_config.json

Linux and Windows paths are also supported. See mcpm doctor to verify which clients are detected on your system.

How it works

mcpm is a local-first CLI. There is no mcpm backend or account system.

1. Search and install query the official MCP Registry API (v0.1) maintained by the Model Context Protocol project.
2. Trust assessment runs locally using built-in scanners (regex-based pattern detection) and optionally wraps MCP-Scan for deeper analysis.
3. Config management reads and writes the native config file for each AI client. All writes use atomic file operations with restricted permissions (0o600 files, 0o700 directories).
4. Local state lives in ~/.mcpm/ (installed server registry, scan results, response cache).

No telemetry. No analytics. No account required.

Contributing

Contributions are welcome.

git clone https://github.com/getmcpm/cli.git
cd cli
pnpm install
pnpm test
pnpm build

Before submitting a PR:

• Run pnpm test and ensure all tests pass
• Run pnpm lint to check types
• Keep commits focused -- one change per commit
• Follow conventional commit format

This project is MIT licensed. See LICENSE.

Security

If you discover a security vulnerability, please use GitHub's private vulnerability reporting instead of opening a public issue. We will respond within 48 hours.

For trust assessment issues (false positives/negatives in the scanner), regular GitHub issues are fine.

License

MIT