MCP Pickaxe MCP Server

MCP server for Pickaxe API - manage AI agents, knowledge bases, users, and analytics

Local serverstdio

What is the MCP Pickaxe MCP server?

MCP Pickaxe MCP server exists for a simple reason — assistants are far more useful when they can act on MCP Pickaxe directly instead of describing what you should do. MCP server for Pickaxe API - manage AI agents, knowledge bases, users, and analytics.

What you get

An MCP (Model Context Protocol) server that connects AI assistants like Claude to the Pickaxe platform. Manage your AI agents, knowledge bases, users, and analytics directly through natural language.

  • 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

Setting it up

The server ships on npm as mcp-pickaxe, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

What the assistant can call

Once MCP Pickaxe is connected, these are the calls the assistant has available:

  • Products — The Products tool exposed by this server
  • Memory — The Memory tool exposed by this server

Configuration and credentials

You will need 5 environment variables: PICKAXE_STUDIO_MAIN, PICKAXE_STUDIO_PRODUCTION, PICKAXE_STUDIO_STAGING, PICKAXE_STUDIO_DEV, PICKAXE_DEFAULT_STUDIO. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Node.js 18+ - A Pickaxe account with API access - Your Pickaxe Studio API key(s)

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp pickaxe mcp server does with a few real requests.

Choosing this one

This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP Pickaxe's toolset — Products, Memory — is a fair guide to whether it matches your workflow. It is maintained by aplaceforallmystuff; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP Pickaxe's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
ProductsThe Products tool exposed by this server.
MemoryThe Memory tool exposed by this server.

How to install the MCP Pickaxe MCP server

{
  "mcpServers": {
    "pickaxe": {
      "command": "npx",
      "args": ["-y", "mcp-pickaxe"],
      "env": {
        "PICKAXE_STUDIO_MAIN": "your-value",
        "PICKAXE_STUDIO_PRODUCTION": "your-value",
        "PICKAXE_STUDIO_STAGING": "your-value",
        "PICKAXE_STUDIO_DEV": "your-value",
        "PICKAXE_DEFAULT_STUDIO": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Node.js 18+ - A Pickaxe account with API access - Your Pickaxe Studio API key(s)
VariableDescriptionRequired
PICKAXE_STUDIO_MAINConfiguration value read at startup.Optional
PICKAXE_STUDIO_PRODUCTIONConfiguration value read at startup.Optional
PICKAXE_STUDIO_STAGINGConfiguration value read at startup.Optional
PICKAXE_STUDIO_DEVConfiguration value read at startup.Optional
PICKAXE_DEFAULT_STUDIOConfiguration value read at startup.Optional

Example prompts to try

  • Use MCP Pickaxe to Products.
  • Use MCP Pickaxe to Memory.

Frequently asked questions

It connects MCP Pickaxe to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Products, Memory) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Pickaxe directly.