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OliverSieweke
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mcp

Develop and test MCP servers exposing occhio tools to AI agents.

13|1|Updated Feb 3, 2026
Search Tags:#testing#integration#mcp#server#ai-agents#tool-development#occhio
One-click install
npx skills add https://github.com/OliverSieweke/occhio --skill mcp-oliversieweke
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp
Source: https://github.com/OliverSieweke/occhio/tree/main/skills/mcp
Command: npx skills add https://github.com/OliverSieweke/occhio --skill mcp-oliversieweke

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MCP server development enables researchers to rapidly build and extend AI-assisted tools by exposing occhio capabilities through a standardized context protocol.

Core Features & Use Cases

  • Modular MCP server architecture centered in src/occhio/mcp/ with a CLI entry point and clear instructions for adding new tool modules.
  • Includes guidelines for registering tools, running local servers, and testing integrations with MCP Inspector and automated tests.
  • Ideal for engineering teams building AI agents that need access to occhio research capabilities and for rapid prototyping of new tools.

Quick Start

Start the MCP server and register a new tool module to expose occhio capabilities to AI agents.

Frequently Asked Questions about mcp

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

FAQPage Schema
How do I expose occhio tools to AI agents using an MCP server?▼

You can expose occhio tools to AI agents by deploying a modular MCP server architecture from src/occhio/mcp/, which provides a CLI entry point and standardized tool registration. This enables AI agents to access occhio research capabilities.

What is the Model Context Protocol and when do I need it for local development?▼

The Model Context Protocol (MCP) is a standardized protocol that enables AI agents to access external tools. You need it for local development and rapid prototyping when building AI-assisted tools that require occhio research capabilities.

How do I test MCP server integrations and validate tool registration?▼

You test MCP server integrations by utilizing MCP Inspector for local validation and running automated tests. This testing strategy validates tool registration, concurrency, and error handling within the occhio.mcp.server module.

Do I need fastmcp and httpx to run an occhio MCP server?▼

Yes, fastmcp and httpx are optional dependencies required to run the occhio MCP server. The server relies on the occhio.mcp.server module alongside these libraries to provide CLI and runtime support for AI agents.

Can I add new tool modules to an existing MCP server architecture?▼

Yes, you can add new tool modules to the modular MCP server architecture. The system provides clear instructions for registering tools, running local servers, and testing integrations to extend occhio capabilities for AI agents.

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