# Parallel Works MCP Server

> Use this tool when you need to manage and orchestrate AI workflows and resources efficiently. The Parallel Works MCP Server enables AI assistants to control clusters, storage, and sessions via the REST API, solving problems related to resource allocation and workflow optimization. It provides a programmatic interface for inputs such as API requests and outputs like managed resources and workflow status.

Canonical page: https://skillsregistry.net/skills/parallelworks-pw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/parallelworks-pw-mcp

## Description

Enables AI assistants to manage Parallel Works ACTIVATE resources including clusters, workflows, storage, sessions, and more via the REST API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q3i9rvfqua)
- **Repository:** <https://github.com/parallelworks/pw-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "parallelworks-pw-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/parallelworks-pw-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/parallelworks-pw-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt