AnyCap MCP vs Skills: Which Setup Is Right for Your Agent Stack?

AnyCap supports both CLI via skills and MCP protocol. Same capabilities, same auth, same models — different interfaces. Here's how to decide which setup fits your agent stack.

by AnyCap

AnyCap gives agents image generation, video, music, web search, Drive, and Page through one capability layer. But there are two ways to wire that capability into your agent: the CLI via skills, or the built-in MCP server.

Both use the same auth. Both use the same models. Both expose the same capability surface.

The difference is how the agent connects and how your team thinks about the integration.

The Two Access Methods

Skills: the instruction + CLI path

Skills teach the agent how to install and invoke the AnyCap CLI. Once the skill is installed, the agent runs AnyCap as shell commands in its terminal session.

# Install the AnyCap skill for Claude Code
npx -y skills add anycap-ai/anycap -a claude-code -y

# Install the CLI
curl -fsSL https://anycap.ai/install.sh | sh

# Log in once
anycap login

After setup, the agent calls capabilities like this:

anycap image generate --prompt "hero image for SaaS dashboard" -o hero.png
anycap video generate --prompt "60s product walkthrough"
anycap search "latest framework changes"

MCP: the protocol path

AnyCap v0.5.0+ ships a local stdio MCP server with 23 typed tools. The agent discovers and calls AnyCap capabilities through the standard MCP interface.

# Claude Code
claude mcp add --scope local anycap -- anycap mcp --allow-root "$PWD"

# Cursor (.cursor/mcp.json)
# {
#   "mcpServers": {
#     "anycap": {
#       "type": "stdio",
#       "command": "anycap",
#       "args": ["mcp", "--allow-root", "/your/project"]
#     }
#   }
# }

After setup, the agent calls capabilities as typed MCP tool calls: anycap_image_generate, anycap_video_generate, anycap_web_search, and so on.

Side-by-Side Comparison

Factor Skills + CLI MCP Server
Setup command npx -y skills add anycap-ai/anycap -a claude-code -y claude mcp add --scope local anycap -- anycap mcp --allow-root "$PWD"
How the agent invokes capabilities Shell commands: anycap image generate ... Typed tool calls: anycap_image_generate(...)
Token overhead Low (~2,000 tokens for skill description) Moderate (23 tool schemas at startup)
Same auth? Yes — anycap login covers both Yes — shared credential store
Same models? Yes Yes
Same capabilities? Yes — full read/write access to all capabilities including Drive upload and Page publish Yes — with one exception: Drive and Page are read-only via MCP. Drive upload and Page publish require the CLI.
Agent compatibility Claude Code, Cursor, Codex (different -a flags) Any MCP-compatible host
Best for Fast onboarding, natural-language workflows Teams standardizing on MCP for tool transport
Cross-agent portability Same skill, different agent flag Same JSON config shape across any MCP host

When Skills Win

You want the fastest path from zero to working capability.

The skills install flow takes two commands: install the skill and install the CLI. The agent starts calling anycap image generate in the same session. No protocol setup, no JSON config, no restart.

Your team already works with agent-native CLI workflows.

Claude Code and Cursor users who think in terminal commands find the CLI surface intuitive. The agent runs anycap image generate the same way it runs npm install or git commit.

You're prototyping or experimenting.

Skills make it easy to add and remove AnyCap without touching your MCP configuration. For exploration and rapid iteration, the CLI path has less friction.

Token budget is tight.

The skills approach adds approximately 2,000 tokens to the agent's context. MCP adds tool schemas for all 23 tools, which costs more context. On long sessions with large codebases, that difference matters.

When MCP Wins

Your team has already standardized on MCP for tool integration.

If every external tool in your agent stack connects via MCP, adding AnyCap the same way keeps the architecture consistent. One protocol means one mental model for the whole team.

You want typed tool discovery.

MCP gives the agent explicit, schema-validated tool contracts. For teams that value strict interface boundaries — especially in production agent pipelines — typed tool calls are cleaner than parsing shell output.

You're integrating across multiple agents or runtimes.

The same anycap mcp stdio configuration works in Claude Code, Cursor, Codex, Windsurf, and any other MCP host without modification. If you need AnyCap to work identically across several environments, the MCP path gives you one config to maintain.

Protocol standardization is the goal.

Some teams want a stable, documented interface between their agents and capability providers. MCP is that interface. If your capability layer needs a well-defined protocol boundary, MCP is the right choice.

When to Use Both

Most teams that run AnyCap in production end up using both:

  • Skills for initial onboarding — developers can get up and running in minutes without reading protocol documentation
  • MCP for production pipelines — once the workflow is established, the protocol interface provides a stable, consistent access layer

That combination is also how AnyCap recommends thinking about it: skills for adoption, MCP for standardization.

Practical Decision Rule

Is fast onboarding the priority?       → Start with skills
Is protocol standardization the goal?  → Start with MCP
Do you need both?                      → Skills first, MCP for production

If you're not sure: start with the skills path. You can always add the MCP server later without touching your credentials, models, or workflows. Both paths share the same underlying capability surface.

Setup Guides

Skills path:

  • Install for Claude Code: npx -y skills add anycap-ai/anycap -a claude-code -y
  • Install for Cursor: npx -y skills add anycap-ai/anycap -a cursor -y
  • Install for Codex: npx -y skills add anycap-ai/anycap -a codex -y

MCP path:

FAQ

Do I need different credentials for CLI and MCP?

No. AnyCap uses one auth flow for both. anycap login covers the CLI and the MCP server. Credentials are shared automatically.

Does the MCP server give me access to more capabilities than the CLI?

No. Both paths expose the same capabilities. The MCP server exposes them as typed tool calls; the CLI exposes them as shell commands. Same models, same outputs, same credits.

Can I use both at the same time?

Yes. Many teams install the skill for natural-language workflows and add the MCP server for pipeline integrations. They operate independently and share the same credential state.

Which approach uses fewer tokens?

The skills path. The skill description adds approximately 2,000 tokens to the agent's context. The MCP server loads schemas for all 23 tools, which is more. If you're working in long sessions with large codebases, the skills path is more context-efficient.

Is MCP better for production?

MCP provides typed interfaces and protocol-level consistency, which some teams prefer for production pipelines. But the CLI path works equally well in production — many teams ship agent workflows that call AnyCap via shell commands in CI/CD and automation pipelines.