MCP Superpowers: Part 2 - Custom Tools for Custom Domains

Part 2 of our series: "MCP Superpowers: Leveraging the Model Context Protocol for Agentic Excellence."

In Part 1, we saw how the Model Context Protocol (MCP) gives agents "self-awareness" of the codebase. But what if your agent needs more than just code? What if it needs to check your production logs, query your customer database, or understand your proprietary business rules?

This is where Custom MCP Tools come in. Instead of building a monolithic agent with thousand-line prompts, you build a modular toolkit. An agent wearing an MCP "superpower belt" can dynamically pull in the exact capability it needs for the task at hand.

The Power of Domain-Specific Tools

The generic AI of the past (GPT-3/4) had to be told everything in the prompt. The agentic AI of the future (powered by MCP) uses tools to discover the truth.

At ClawMore, we use custom MCP tools to bridge the gap between our serverless infrastructure and our agentic reasoning engine. Here are three categories of tools every engineering team should build:

• The Observer: Tools that query CloudWatch, Datadog, or Sentry. When an agent sees an error, it doesn't guess—it queries the logs.
• The Archivist: Tools that search your internal Wiki, Jira, or Confluence. The agent understands the reason behind a decision, not just the code.
• The Operator: Tools that safely interact with your internal APIs. An agent can check the status of a deployment or the health of a staging environment.

Building Your First Custom Server

Building an MCP server is surprisingly simple. It's a standard JSON-RPC interface. Using the MCP SDK, you can expose a set of Node.js functions as tools that any compliant agent (like Claude Code or Cline) can use.

// Example: A tool that queries a proprietary database
server.addTool({
  name: "query_docs",
  description: "Search internal architectural documentation",
  parameters: {
    query: { type: "string" }
  },
  execute: async ({ query }) => {
    return await searchVectorStore(query);
  }
});

The magic happens when you register these tools. Your agent now has aquery_docs command in its brain. It uses it only when it needs to clarify a requirement.

ClawMore: The Ultimate Tool Hub

ClawMore is designed to be the central hub for your agentic tools. By deploying your MCP servers on AWS using ClawMore, you give your agents a secure, scalable environment to operate.

We use IAM-based security to ensure agents can only access the tools they are authorized to use. No more leaked API keys in prompts.

The Future is Modular

Stop building monolithic agents. Start building a Universal Intelligence Mesh. When you build a tool once as an MCP server, every agent in your company—from the smallest CI runner to the most complex autonomous architect—gets that superpower instantly.

In Part 3, we'll explore The Orchestration Loop: How to coordinate multiple specialized agents using a shared MCP infrastructure.

Want to build your own toolkit?
Check out the @aiready/skills package for a library of pre-built agentic capabilities.