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# MCP Pickaxe Server [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![MCP](https://img.shields.io/badge/MCP-Compatible-blue)](https://modelcontextprotocol.io) An MCP (Model Context Protocol) server that connects AI assistants like Claude to the [Pickaxe](https://pickaxe.co) platform. Manage your AI agents, knowledge bases, users, and analytics directly through natural language. ## Why Use This? If you're building AI agents on Pickaxe, this MCP server lets you: - **Analyze agent conversations** - Review chat history to identify knowledge gaps and improve agent performance - **Manage knowledge bases** - Create, update, and connect documents to your agents without leaving your AI workflow - **Handle user management** - Create users, manage access, send invitations, and track usage - **Work across multiple studios** - Seamlessly switch between different Pickaxe studios in a single session - **Automate workflows** - Let Claude handle repetitive Pickaxe admin tasks ## Features | Category | Tools | |----------|-------| | **Studios** | List configured studios, switch between them | | **Chat History** | Fetch and analyze agent conversation logs | | **Documents** | Create, list, get, delete, connect/disconnect to agents | | **Users** | Create, list, get, update, delete, invite | | **Products** | List available products and bundles | | **Memory** | List memory schemas, retrieve user memories | ## Prerequisites - Node.js 18+ - A [Pickaxe](https://pickaxe.co) account with API access - Your Pickaxe Studio API key(s) ## Installation ### Option 1: Clone and Build ```bash git clone https://github.com/YOUR_USERNAME/mcp-pickaxe.git cd mcp-pickaxe npm install npm run build ``` ### Option 2: Install from npm (coming soon) ```bash npm install -g mcp-pickaxe ``` ## Configuration ### 1. Get Your Pickaxe API Key 1. Log in to [Pickaxe Studio](https://studio.pickaxe.co) 2. Navigate to Settings > API 3. Copy your Studio API key (starts with `studio-`) ### 2. Configure Your MCP Client #### For Claude Desktop Add to your Claude Desktop config file: **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "pickaxe": { "command": "node", "args": ["/path/to/mcp-pickaxe/dist/index.js"], "env": { "PICKAXE_STUDIO_MAIN": "studio-your-api-key-here" } } } } ``` #### For Claude Code Add to `~/.claude.json`: ```json { "mcpServers": { "pickaxe": { "command": "node", "args": ["/path/to/mcp-pickaxe/dist/index.js"], "env": { "PICKAXE_STUDIO_MAIN": "studio-your-api-key-here" } } } } ``` ### Multi-Studio Configuration To work with multiple Pickaxe studios, add multiple environment variables: ```json { "env": { "PICKAXE_STUDIO_PRODUCTION": "studio-xxx-xxx-xxx", "PICKAXE_STUDIO_STAGING": "studio-yyy-yyy-yyy", "PICKAXE_STUDIO_DEV": "studio-zzz-zzz-zzz", "PICKAXE_DEFAULT_STUDIO": "PRODUCTION" } } ``` Then specify which studio to use in your requests: - If you set `PICKAXE_DEFAULT_STUDIO`, that studio is used when none is specified - If only one studio is configured, it's used automatically - Otherwise, pass `studio="STAGING"` (or similar) to any tool ## Usage Examples Once configured, you can interact with Pickaxe through natural language: ### Analyze Agent Performance > "Show me the last 20 conversations from my support agent" > "What questions are users asking that my agent can't answer?" ### Manage Knowledge Base > "Create a new document called 'FAQ' with this content: [your content]" > "Connect the FAQ document to my customer support agent" > "List all documents in my knowledge base" ### User Management > "Show me all users and their usage stats" > "Create a new user with email user@example.com and give them access to the Pro product" > "Send invitations to these emails: [list of emails]" ### Multi-Studio Operations > "List all users in my staging studio" > "Compare the documents between production and staging" ## Available Tools ### Studio Management - `studios_list` - List all configured studios and the current default ### Chat History - `chat_history` - Fetch conversation history for an agent - Parameters: `pickaxeId`, `skip`, `limit`, `format` ("messages" or "raw"), `studio` ### Document Management - `doc_create` - Create document from content or URL - `doc_list` - List all documents (with pagination) - `doc_get` - Get a specific document - `doc_delete` - Delete a document - `doc_connect` - Link document to an agent - `doc_disconnect` - Unlink document from an agent ### User Management - `user_list` - List all users with access and usage info - `user_get` - Get a specific user by email - `user_create` - Create a new user - `user_update` - Update user details, products, or usage - `user_delete` - Delete a user - `user_invite` - Send email invitations ### Products - `products_list` - List available products/bundles ### Memory - `memory_list` - List memory schemas - `memory_get_user` - Get collected memories for a user ## Development ```bash # Run in development mode (auto-reloads) npm run dev # Build for production npm run build # Run the built version npm start ``` ## Troubleshooting ### "No Pickaxe studios configured" Ensure you have at least one `PICKAXE_STUDIO_*` environment variable set in your MCP config. ### "Studio not found" Check that the studio name matches exactly (case-insensitive). Run `studios_list` to see available options. ### "Pickaxe API error (401)" Your API key is invalid or expired. Get a new one from Pickaxe Studio settings. ### "Pickaxe API error (403)" Your API key doesn't have permission for this operation. Check your Pickaxe account permissions. ## Contributing Contributions are welcome! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines. ## License MIT License - see [LICENSE](LICENSE) for details. ## Links - [Pickaxe Platform](https://pickaxe.co) - [Pickaxe Studio](https://studio.pickaxe.co) - [Model Context Protocol](https://modelcontextprotocol.io) - [MCP Specification](https://spec.modelcontextprotocol.io)

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