io.paretostudio/paretostudio-mcp

Official registry AI and agents

Read, create, and install your ParetoStudio prompts, agents, and skills from any MCP client.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package paretostudio-mcp
Claude Code
claude mcp add paretostudio-mcp -e 'PARETOSTUDIO_API_KEY=<your paretostudio_api_key>' -e 'PARETOSTUDIO_API_URL=https://paretostudio.io' -- npx -y paretostudio-mcp@0.4.1
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "paretostudio-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "paretostudio-mcp@0.4.1"
            ],
            "env": {
                "PARETOSTUDIO_API_KEY": "<your paretostudio_api_key>",
                "PARETOSTUDIO_API_URL": "https://paretostudio.io"
            }
        }
    }
}

Environment variables

  • PARETOSTUDIO_API_KEY required secret Your ParetoStudio API key (starts with psk_). Create one at https://paretostudio.io/settings under Developer.
  • PARETOSTUDIO_API_URL API base URL. Only change this when pointing at a self-hosted or staging instance.

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. paretostudio-mcp
  2. Quick Start
  3. Available Tools
  4. Rate Limits
  5. Environment Variables
  6. Source
  7. Links
  8. Privacy Policy
  9. Security
  10. License

paretostudio-mcp

Read your ParetoStudio prompt, agent, and skill library from Claude Code, Cursor, and any MCP client. Install agents and skills as files into Claude Code.

Quick Start

1. Get your API key

Go to paretostudio.io/settings and navigate to Developer, then create an API Key.

2. Configure your client

Claude Code (.mcp.json in your project root):

{
  "mcpServers": {
    "paretostudio": {
      "command": "npx",
      "args": ["-y", "paretostudio-mcp@latest"],
      "env": {
        "PARETOSTUDIO_API_KEY": "psk_your_key_here"
      }
    }
  }
}

Cursor (Settings > MCP):

{
  "mcpServers": {
    "paretostudio": {
      "command": "npx",
      "args": ["-y", "paretostudio-mcp@latest"],
      "env": {
        "PARETOSTUDIO_API_KEY": "psk_your_key_here"
      }
    }
  }
}

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "paretostudio": {
      "command": "npx",
      "args": ["-y", "paretostudio-mcp@latest"],
      "env": {
        "PARETOSTUDIO_API_KEY": "psk_your_key_here"
      }
    }
  }
}

Codex (~/.codex/config.toml):

[mcp_servers.paretostudio]
command = "npx"
args = ["-y", "paretostudio-mcp@latest"]

[mcp_servers.paretostudio.env]
PARETOSTUDIO_API_KEY = "psk_your_key_here"
3. Use it

Ask Codex, Claude, or your MCP client to "list my prompts" or "install my agent" — the tools are available automatically.

Available Tools

ToolDescription
list_promptsList all prompts in your library
get_promptGet full prompt content (all 6 steps)
search_promptsSearch prompts by title or description
list_agentsList all agents
get_agentGet agent with full configuration
search_agentsSearch agents
list_skillsList all skills
get_skillGet skill with full configuration
search_skillsSearch skills
install_skillInstall skill for Claude or Codex project layouts
install_agentDownload agent to .claude/agents/
install_bundleInstall agent + skills in one operation
create_promptCreate a new prompt
update_promptUpdate a prompt
delete_promptDelete a prompt
create_skillCreate a new skill
update_skillUpdate a skill
delete_skillDelete a skill
create_agentCreate a new agent
update_agentUpdate an agent
delete_agentDelete an agent

Install tools never overwrite existing files by default. Pass overwrite: true only when you intentionally want to replace an installed agent or skill. For Codex project skills, call install_skill with client: "codex"; the skill is written to .agents/skills/<name>/SKILL.md instead of .claude/skills/.

Write tools respect your plan's library caps (Free: 5 prompts / 2 agents / 2 skills; Pro and Team: unlimited).

Rate Limits

PlanDaily RequestsWrite Access
Free50Yes — within plan caps (5 prompts / 2 agents / 2 skills)
Pro500Yes — unlimited
Team500Yes — unlimited, shared team library

Environment Variables

VariableRequiredDefaultDescription
PARETOSTUDIO_API_KEYYes--Your API key (starts with psk_)
PARETOSTUDIO_API_URLNohttps://paretostudio.ioAPI base URL

Source

The server source lives in the ParetoStudio application repository, because it imports the same business rules the API enforces (src/rules/) — duplicating them here would let the two drift apart. This repository is the public home of the published package: the manifest registries read, the configuration examples, and the documentation.

Releases are automatic: a version bump reaching main publishes to npm, and a CI gate refuses a build whose server changed since the last bump.

Privacy Policy

The server is a local process on your machine. It talks only to the ParetoStudio API (https://paretostudio.io, or the PARETOSTUDIO_API_URL you configure) using the API key you provide, and sends nothing anywhere else. Privacy policy: paretostudio.io/privacy

Security

See SECURITY.md. Report vulnerabilities to support@paretostudio.io — not in public issues.

License

MIT — see LICENSE.

Frequently asked questions

What is io.paretostudio/paretostudio-mcp?

Read, create, and install your ParetoStudio prompts, agents, and skills from any MCP client.

How do I install io.paretostudio/paretostudio-mcp?

It runs on your machine. In Claude Code: claude mcp add paretostudio-mcp -e 'PARETOSTUDIO_API_KEY=<your paretostudio_api_key>' -e 'PARETOSTUDIO_API_URL=https://paretostudio.io' -- npx -y paretostudio-mcp@0.4.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.paretostudio/paretostudio-mcp need an API key?

Yes. It expects PARETOSTUDIO_API_KEY, which you set in its configuration.

Is io.paretostudio/paretostudio-mcp open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.paretostudio/paretostudio-mcp?

It is published by tane994. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.