Epictetus
5f917f4121
Publisher fixes: - Checkout new branch before push (was pushing main ref) - Verify files staged before commit - Handle duplicate files gracefully - Clean error reporting per stage Skills merged to main: - mcp-server-setup (from pipeshub-ai) - research-pipeline (from Blacknode) - multi-agent-sequential-workflow (from Fast-LLM-Agent-MCP) - unifai-workflow-execution (from UnifAI) - code-review-agent-workflow (from AgentKit)
29 lines
1.3 KiB
JSON
29 lines
1.3 KiB
JSON
{
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"name": "mcp-server-setup",
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"version": "1.0.0",
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"goal": "Set up an MCP server to integrate PipesHub with any MCP-compatible client.",
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"inputs": [
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"MCP server configuration details",
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"PipesHub credentials"
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],
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"steps": [
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"Step 1: Clone the `pipeshub-ai/mcp-server` repository using `git clone https://github.com/pipeshub-ai/mcp-server.git`",
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"Step 2: Navigate to the cloned directory with `cd mcp-server`",
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"Step 3: Run the interactive installer by executing `./install.sh`",
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"Step 4: Follow the prompts in the installer to configure the server, including setting up graph DB, message broker, and KV store",
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"Step 5: The installer will generate a `.env` file with necessary environment variables. Ensure these are correctly set",
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"Step 6: Start the MCP server by running `docker-compose up -d`"
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],
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"outputs": [
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"Running MCP server",
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".env file generated"
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],
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"failure_modes": [
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"Installer fails to run due to missing dependencies or incorrect configuration",
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"Docker Compose setup issues preventing server from starting"
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],
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"confidence": 0.95,
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"explanation": "This workflow is specific but can be adapted for different deployment environments and configurations.",
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"source_repo": "https://github.com/pipeshub-ai/pipeshub-ai.git",
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"score": 1.0
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} |