mcpField
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mcp-launcher

mcp-launcher

Local
github.com/oneprofile-devDeveloper Tools1Updated 13w ago

About mcp-launcher

mcp-launcher is a CLI and MCP hub for discovering, managing, auditing and governing MCP servers across AI clients. It combines a local server stack, configuration audits and an action firewall, with optional team sync.

Key features

  1. 01Discover and add catalog servers
  2. 02Share one server stack across clients
  3. 03Audit local MCP configurations
  4. 04Gate tool calls with policies
  5. 05Sync team-approved server lists

Use cases

  1. 01Reuse configured servers across AI clients
  2. 02Review machine configs for risky servers
  3. 03Require approval for write actions
  4. 04Distribute a team's vetted server list

MCP support

Runs as an MCP hub over stdio, exposing discovery and stack-management tools while routing calls to added servers. It can also wrap an MCP server with a local policy engine that controls tool calls.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"oneprofile-dev-mcp-launcher": {
"command": "npx",
"args": [
"-y",
"curatedmcp"
],
"env": {
"CURATOR_API_URL": "<CURATOR_API_URL>"
}
}
}
}
Run commandnpx -y curatedmcp
Environment variables to set
CURATOR_API_URLOverride the CuratedMCP API base URL (defaults to https://www.curatedmcp.com). Only needed for local development against a different deployment.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmcuratedmcp2.1.1

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
limitnumberNoMax results (default 10, max 50)
querystringYesSearch query (e.g. 'GitHub', 'database', 'Stripe')
categoryenumNoFilter by categoryDEVELOPER_TOOLS | WEB_AUTOMATION | DATABASE | CLOUD_SERVICES | AI_AGENTS | PRODUCTIVITY | COMMUNICATION | ANALYTICS

Details

From the project README

curatedmcp

npm version npm downloads License: MIT Node.js ≥18

The CuratedMCP Agent. One CLI to discover, run, audit, and govern every MCP server your AI tools (Claude, Cursor, Windsurf, Copilot, Gemini) use.

# 10-second risk scan of your machine — no signup
npx curatedmcp audit

Plug it in once. Add servers anytime. Audit and govern them from one place.


What you get

CommandWhat it does
curatedmcp auditScan your MCP configs for risky servers (high/medium/low). Zero auth, instant value.
curatedmcp (no args)Run as an MCP hub server over stdio for Claude, Cursor, Windsurf, etc.
curatedmcp add <slug>Add a server from the CuratedMCP catalog to your stack.
curatedmcp remove <slug>Remove a server from your stack.
curatedmcp listShow your current stack.
curatedmcp initPrint the config snippet to drop into your AI client.
curatedmcp guard -- <cmd>Run a server behind the local action firewall.
curatedmcp loginAuthenticate the agent to your CuratedMCP account.
curatedmcp syncPull your team's registry config and push audit results.

1. Audit (the wedge — start here)

npx curatedmcp audit

Scans every MCP config file on your machine (Claude Desktop, Cursor, Windsurf, Claude Code, …), classifies each server against the CuratedMCP catalog, and flags:

  • 🔴 HIGH — unverified or known-risky servers with credentials
  • 🟡 MEDIUM — verified servers running outside catalog defaults
  • 🟢 VERIFIED — known-good catalog servers

No signup, no cloud, no data leaves your machine. Logged in? Add --sync to push the result to your dashboard.


2. Run as the MCP Hub

If you use MCP servers across multiple AI clients, you've felt this pain: configure GitHub MCP in Claude Desktop, then re-do it in Cursor, then in Windsurf. New agent ships? Re-paste every config.

The agent fixes that. It's one MCP entry that fans out to every server you've added, in every AI client.

   Claude   Cursor   Windsurf   Copilot   Gemini
       \      \      |      /      /
        ┌──────────────────────────┐
        │       curatedmcp         │   ← one config in each agent
        │     (the MCP hub)        │
        └────┬──────┬──────┬───────┘
             │      │      │
          GitHub  Postgres  Stripe   ← `add`'d once, available everywhere
Add it to your AI client
{
  "mcpServers": {
    "curatedmcp": {
      "command": "npx",
      "args": ["-y", "curatedmcp"]
    }
  }
}
ClientPath
Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.json (mac) / %APPDATA%\Claude\claude_desktop_config.json (win)
Cursor~/.cursor/mcp.json
Windsurf~/.codeium/windsurf/mcp_config.json
Claude Code~/.claude/mcp.json (or .claude/mcp.json per-project)
Add servers to your stack
npx curatedmcp add github          # prompts for GITHUB_TOKEN
npx curatedmcp add postgres --env DATABASE_URL=postgres://...
npx curatedmcp list
Restart your AI client

Tools appear with a <slug>__ prefix:

  • github__create_issue
  • postgres__query
  • filesystem__read_file

3. Guard (local action firewall)

npx curatedmcp guard -- npx -y @modelcontextprotocol/server-github

Wraps an MCP server with a local policy engine that gates every tools/call against ~/.curatedmcp/guard-policy.json. Default policy allows read, prompts on write, blocks destructive.

npx curatedmcp guard --dashboard --port 7878 -- npx -y @some/server
# Then open http://localhost:7878 for the live action log

4. Login + sync (for teams)

Once you have a CuratedMCP account, link the CLI to it:

npx curatedmcp login                  # paste a registry key from your dashboard
npx curatedmcp sync                   # pull team registry config + push audit results
npx curatedmcp sync --team acme-eng   # pick a specific team if you're in more than one

Sync pulls the locked-down server list approved by your team and merges it into your local stack — so every developer's machine runs the same vetted set of servers.


Config files

~/.curatedmcp/stack.json — your stack, plain JSON, hand-editable, version-controllable:

{
  "version": 1,
  "entries": [
    {
      "slug": "github",
      "name": "GitHub",
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": { "GITHUB_TOKEN": "ghp_xxxxxxxxxxxx" },
      "addedAt": "2026-05-01T10:14:00.000Z"
    }
  ]
}

Set "disabled": true on an entry to skip it without removing it.

Other files (created on first use):

  • ~/.curatedmcp/auth.json — login token (mode 0600)
  • ~/.curatedmcp/guard-policy.json — firewall policy
  • ~/.curatedmcp/launcher.json — anonymous client UUID

In-agent discovery

The agent itself exposes discovery tools to your AI client, so you can ask:

"Find me an MCP server for Postgres." "What's the best Stripe MCP?" "Add the Postgres MCP server to my stack."

The agent uses search_servers, get_server_details, and add_to_stack to do all of that without you leaving the chat.


Privacy

  • All config is local at ~/.curatedmcp/. No cloud sync unless you login.
  • Anonymous telemetry only (event names like "search", "add"). Disable with --no-telemetry or CURATOR_TELEMETRY=false.
  • Audit results stay on your machine unless you login and run --sync.

Compatibility

  • Works with Claude Desktop, Claude Code, Cursor, Windsurf, Copilot, Gemini, OpenAI Agents — anything that supports MCP over stdio.
  • Node.js ≥ 18.

Migrating from the old packages

The agent replaces three earlier packages, which are now deprecated:

OldNew
@curatedmcp/launchercuratedmcp (no args) / curatedmcp add / curatedmcp list
@curatedmcp/auditor (aka mcp-audit)curatedmcp audit
@curatedmcp/sentinel (aka sentinel)curatedmcp guard

A launcher bin alias is kept for back-compat.


Links

MIT licensed.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.