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outfitter-mcp

Create MCP servers and register tools with Zod schemas using @outfitter/mcp.

6|1|Updated Jan 22, 2026
Search Tags:#agent#mcp#server#rpc#tool#outfitter
One-click install
npx skills add https://github.com/outfitter-dev/outfitter --skill outfitter-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: outfitter-mcp
Source: https://github.com/outfitter-dev/outfitter/tree/main/packages/claude-plugin/skills/outfitter-mcp
Command: npx skills add https://github.com/outfitter-dev/outfitter --skill outfitter-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies the creation and management of Message Queue Protocol (MCP) servers and tools within the Outfitter framework, streamlining agent-tool integration.

Core Features & Use Cases

  • MCP Server Creation: Boilerplate for setting up Outfitter MCP servers.
  • Tool Registration: Define and register tools with input schemas and handlers.
  • Resource Management: Register static and dynamic resources for data access.
  • Error Handling: Implement robust error handling with defined categories.
  • Use Case: Develop a new MCP server for an AI agent that needs to interact with a database, allowing the agent to perform CRUD operations on user data via registered tools.

Quick Start

Use the outfitter-mcp skill to create a new MCP server with a 'search' tool.

Frequently Asked Questions about outfitter-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an MCP server for AI agents to interact with a database?▼

To build an MCP server, use the @outfitter/mcp library to generate server boilerplate, register tools with Zod input schemas, and define handlers that allow AI agents to execute CRUD operations on database resources.

What is the best way to define input schemas for registered tools in an MCP server?▼

The best way to define input schemas for MCP tools is using Zod schema definitions within the @outfitter/mcp library, ensuring type-safe validation for handler parameters before the agent executes the tool.

Can I register both static and dynamic resources on my MCP server?▼

Yes, you can register both static and dynamic resources on an MCP server using the @outfitter/mcp library, enabling flexible data access patterns for your AI agent tools to query and consume.

How does error handling work for tools in the Outfitter MCP ecosystem?▼

Error handling in the Outfitter MCP ecosystem relies on implementing defined error categories within your tool handlers, allowing the server to manage and communicate failures back to the AI agent robustly.

Do I need prior RPC server experience to create agent-ready tools with @outfitter/mcp?▼

You do not need prior RPC server experience to create agent-ready tools, as the @outfitter/mcp library provides boilerplate for server creation and patterns that simplify registering tools and resources.

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