The MCP Pickaxe Server connects AI assistants to the Pickaxe platform, allowing users to manage AI agents, knowledge bases, users, and analytics through natural language.
From the registry: MCP server for Pickaxe API - manage AI agents, knowledge bases, users, and analytics

Please install the `mcp-pickaxe` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Pickaxe account with API access** — Sign up at Pickaxe and get Studio API key(s) (https://studio.pickaxe.co)
- **Node.js 18+** — Node.js runtime
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["mcp-pickaxe"]
- required environment variables:
- `PICKAXE_STUDIO_MAIN`: Pickaxe Studio API key (starts with studio-) (example: `<your-studio-api-key>`)
- optional environment variables:
- `PICKAXE_DEFAULT_STUDIO`: Default studio name when multiple are configured (example: `MAIN`)
Note: Supports multiple studios via PICKAXE_STUDIO_<NAME> environment variables.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.PICKAXE_STUDIO_MAINrequiredYour Pickaxe Studio API keyAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.