Claude Code Could Code. What I Needed Was a Stronger Agent CLI

Claude Code handled code, but I still needed search, images, video, storage, and publishing. Here’s why I stopped thinking in MCP servers and started using a stronger agent CLI with AnyCap.

by AnyCap

Claude Code could read files, run shell commands, and manage git. That part worked.

What it could not do was finish the rest of the job. It could not search the web, generate images, create video, store outputs, or publish results. My first instinct was the obvious one: add more tools, more integrations, more MCP servers.

That turned out to be the wrong mental model.

The real problem was not that Claude Code needed one more tool. It was that I was trying to solve a capability-layer problem with integration-layer thinking. What I actually needed was a stronger agent CLI — one runtime that could give Claude Code search, media generation, storage, and publishing without turning the setup into its own project.

That is the frame for this guide. Yes, MCP is one way to extend Claude Code. But AnyCap is not an MCP server. It is a stronger agent CLI and capability runtime that gives Claude Code a real-world execution layer.

What Claude Code Can Do — And Where It Stops

Out of the box, Claude Code edits files, runs shell commands, and manages git. That's it.

Need it to search the web? Can't. Generate a hero image for your landing page? Nope. Store generated assets somewhere you can share? Sorry.

You can respond to this in two ways: wire up MCP servers one by one, or switch to a stronger agent CLI that already delivers the missing capability layer. This guide shows both approaches, but the key distinction is important: MCP is a protocol. AnyCap is an execution layer.

What Claude Code Still Can't Do

Task Without tools With the right capability layer
Search the web Open a browser, do it yourself Claude queries search APIs directly
Generate images Switch to a different tool Claude generates from terminal
Create videos Separate video tool Claude generates video from text
Store & share files Local only Cloud storage with share links
Publish a page Manual deploy Claude deploys with one command

Approach 1: Wire Up MCP Servers Yourself

MCP (Model Context Protocol) is how AI agents connect to external tools. You configure a server, Claude discovers it, done.

Quick setup:

claude mcp add github -- npx -y @modelcontextprotocol/server-github
claude mcp add brave-search -- npx -y @modelcontextprotocol/server-brave-search
claude mcp add postgres -- npx -y @modelcontextprotocol/server-postgres

Team-wide with .mcp.json:

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": { "GITHUB_TOKEN": "ghp_your_token" }
    }
  }
}

claude mcp list       # what's connected?
claude mcp remove github  # disconnect

The catch: Each server adds 3,000–8,000 tokens of tool descriptions to Claude's context. Five capabilities means 15,000–40,000 tokens gone before you start. Plus five API keys to manage. That may be worth it for a few internal systems. It is often the wrong answer for the general capability layer your agent needs every day.

Approach 2: Use a Stronger Agent CLI

AnyCap is an agent CLI and capability runtime. Not an MCP server. Not a plugin. Not just another tool in the chain.

It gives your coding agent image generation, video, web search, cloud storage, and publishing through one interface:

npx -y skills add anycap-ai/anycap -a claude-code
anycap login

Done. Two commands. Your agent now has:

Capability What your agent can do
Image generation Hero images, diagrams, mockups — from text
Video generation Create videos from text or still images
Web search Live search with citations
Cloud storage Upload files, get share links
Publishing Deploy pages with one command

Why this is different: this is not five MCP servers hidden behind a nicer wrapper. It is a stronger agent CLI that gives Claude Code the capability layer it lacks.

Which Model Makes More Sense?

MCP servers — when you need one or two specialized integrations for internal systems like your database, Slack, or Jira.

AnyCap — when you need the generic execution layer every serious agent eventually needs: search, images, video, storage, and publishing.

Most teams end up using both. MCP for narrow internal integrations. AnyCap for the broad capability layer.

Troubleshooting

Problem Fix
Server not showing Quit & restart Claude
"Connection closed" nvm install 22 && nvm use 22
Auth fails Regenerate your key
Run claude doctor before manual debugging — it catches most issues.

→ Try AnyCap free — a stronger agent CLI for real-world workflows