A foundational utility for verifying and configuring Model Context Protocol (MCP) servers to ensure AI agents have secure access to Atlassian, GitHub, and Figma.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-mpc
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install github-mpc using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MCP Prerequisites Setup?
The MCP Prerequisites Setup skill is a specialized diagnostic and configuration tool designed to bridge the gap between AI coding agents and external enterprise platforms. By leveraging the Model Context Protocol, this skill ensures that your development environment is fully prepared for complex documentation and coding tasks. It serves as the primary gateway for Openclaw Skills that require real-time access to Confluence spaces, Jira issues, and GitHub repositories.
This utility automates the tedious process of checking server status, validating authentication tokens, and verifying permissions. By using this skill, developers can minimize downtime caused by integration errors and ensure that their AI agent has the necessary context to perform high-level tasks like product guide generation or codebase analysis within the Openclaw Skills ecosystem.
MCP Prerequisites Setup Use Cases
- Initializing the Product Guide Writer or other complex Openclaw Skills for the first time.
- Troubleshooting authentication failures or 'MCP server not found' errors in your AI IDE.
- Setting up a new development environment or migrating Openclaw Skills to a different machine.
- Verifying specific space permissions in Confluence before starting a documentation sprint.
How MCP Prerequisites Setup Works
- The skill scans local configuration directories to identify installed Model Context Protocol servers like user-atlassian and user-github.
- It executes connection tests through the CallMcpTool to verify that authentication with Atlassian Cloud and GitHub is active.
- The agent checks for specific resource access, such as the GT Space in Confluence, to ensure the Openclaw Skills have write permissions.
- If services are missing, the skill provides specific JSON configuration snippets and installation commands to the user.
- A final validation checklist is generated to confirm that the entire environment is ready for advanced Openclaw Skills workflows.
MCP Prerequisites Setup Setup
To configure your environment for Openclaw Skills, you must ensure your MCP configuration file is updated. For Atlassian connectivity, add the remote MCP server to your settings:
{
"atlassian-mcp": {
"url": "https://mcp.atlassian.com/v1/mcp"
}
}
For GitHub integration, ensure the server is installed and your token is exported in your environment:
# Install the GitHub MCP server
npx -y @modelcontextprotocol/server-github
# Set your Personal Access Token
export GITHUB_TOKEN=your_github_pat_here
After setup, restart your AI agent to apply the changes and run the verification tools provided by this skill.
MCP Prerequisites Setup Data Schema & Taxonomy
The skill validates and organizes connectivity metadata required for Openclaw Skills to function. The data is structured around the following core integrations:
| MCP Server | Key Data Points | Validation Tool |
|---|---|---|
| user-atlassian | Cloud ID (trading212.atlassian.net), Space Keys | getAccessibleAtlassianResources |
| user-github | Repository Scopes, Personal Access Tokens | search_repositories |
| user-figma | Design File Tokens, Image Retrieval Paths | get_file |
| user-elasticsearch | Cluster Access, Log Search Query Params | search |
MCP Prerequisites Setup Advanced Features
- Multi-server health checks for complex Openclaw Skills environments.
- Automated CQL (Confluence Query Language) testing to ensure advanced search functionality.
- Support for optional design and logging integrations including Figma and Elasticsearch.
- Comprehensive troubleshooting matrix for rapid resolution of authentication and permission bottlenecks.
SKILL.md
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