Guides · By AnyCap Team · Updated October 23, 2026
MCP vs Skills
Choose the integration your task needs.
MCP standardizes how a host connects to tools and other context. Agent skills package instructions, scripts, and resources for a task. A skill can tell an agent how to use a CLI or an MCP tool; it does not replace the tool implementation. Choose MCP for a callable interface your host supports, skills for reusable task instructions, and both when your workflow needs both.
The practical difference
| What it is | Best for | In AnyCap | |
|---|---|---|---|
| MCP | A protocol boundary between the host, client, and server. Servers can expose tools, resources, and prompts. | Tool discovery and structured calls across compatible hosts. | Start the local server with anycap mcp; the host discovers the tools exposed by the installed binary. |
| Agent skills | Task knowledge packaged with instructions and optional scripts or resources. | Repeatable methods: model selection, review criteria, and how to handle the result. | The AnyCap skill guides an agent through CLI discovery, schema inspection, execution, and delivery. |
| Both | The skill explains the task; an MCP tool performs the supported operation. | A team that already uses MCP and also needs a consistent workflow. | Keep one model choice and one result-review procedure, with host-specific permissions for the chosen execution path. |
Definitions follow the MCP architecture and the Agent Skills specification.
Choose from your environment, not a universal winner
Check which execution path the host supports and which part of the task is currently missing. Neither choice removes authentication, file-access constraints, or the need to review generated output.
- Use a skill with the CLI
- Choose this when the host can run terminal commands and you want a task procedure that includes local filenames, project integration, and result review.
- Use MCP
- Choose this when the host supports the required MCP server and you want structured tool discovery and calls. Verify local-file access and how results reach the project.
- Combine them
- Choose both when a callable tool is already available but the agent also needs a specific method for selecting inputs, evaluating outputs, and completing the task.
Compare the same deliverable, not just the connection
| Image task | Skill plus CLI | MCP |
|---|---|---|
| Discover accepted inputs | Have the agent run model discovery and the mode schema command. | Have the host call model discovery and schema tools. |
| Generate an asset | The skill guides the procedure; the CLI submits the request. | The host invokes the image tool with the accepted fields. |
| Deliver into the project | Use an explicit output filename and inspect the saved file. | Inspect the returned result and verify how this host saves the file. |
| Review success | Open the image and compare it with the brief. | Apply the same image review after file delivery. |
The recorded check below verifies discovery and schema retrieval only. For your own comparison, use the same model, prompt, references and review criteria, and record the host and runtime versions. Measure generation cost and successful file delivery separately from connection setup; neither protocol choice nor a tool listing establishes a better image.
One task, two checked discovery paths
- Task: prepare a Seedream 5 image request
- Before generating, discover the input fields for Seedream 5 text-to-image. This is a read-only prerequisite to the same image task, so the comparison can isolate the integration path.
- CLI path
- On September 22, 2026, AnyCap CLI 0.6.2 returned the generate schema through anycap image models seedream-5 schema --operation generate. The text-to-image schema listed aspect ratio, format, prompt, and resolution fields.
- MCP path
- The same installed binary completed MCP initialization and tools/list. Calling anycap_model_schema with capability image, model seedream-5, operation generate, and mode text-to-image returned the same request fields.
What the check establishes. Both paths can retrieve model inputs from the installed AnyCap runtime. The practical choice is how your host calls the operation and how your team supplies task instructions. It is not evidence that either path is universally faster or cheaper.
Boundaries this comparison does not test
- The check covers command execution, local MCP discovery, and one schema call. It does not measure paid generation, completion speed, token use, or image quality.
- The skill file describes the procedure; a successful CLI call does not prove that every host will automatically select the right skill or command. Host behavior must be tested separately.
- A tool listing proves that the server exposes an interface, not that the account can execute every operation. Authentication and capability access remain separate checks.
What you install and maintain
- An MCP connection
Configure a server that the host can start or connect to. Discovery makes callable tools visible, but the host still controls whether and how they can be used. Server authentication and tool permissions must match the intended access.
AnyCap provides a local stdio entry point in the CLI. Local reference media require an allowed root or roots supplied by the MCP client. The official MCP setup reference owns the host configuration details.
- A skill and its dependencies
Install the skill in a host that supports the format. Instructions can explain a workflow, but the required binary, account access, and files must still exist. A skill is not an independent permission system.
For the AnyCap CLI path, the host needs terminal execution and access to the intended project files. Keep the skill instructions consistent with the installed CLI, especially model fields and result handling.
Apply the choice to an image workflow
- A coding agent saving a project asset
- Use the skill to define the asset brief, discover a model, inspect its schema, generate a file, and review it before editing application code. The CLI output path makes the destination explicit.
- A host using structured tool calls
- Use MCP model discovery and schema tools, then the matching image tool. Check the returned result format and the host’s file-delivery behavior before assuming the asset is in the project.
- A team with both execution paths
- Keep the quality checks in one maintained workflow: preserve the original, compare revisions, verify text and dimensions, and record which output was selected. The same review standard can apply to either path.
FAQ
Does a skill replace an MCP server?
A skill can explain how to perform a task, including how to use MCP tools. It does not itself implement an MCP server or grant tool permissions.
Does MCP replace skill instructions?
MCP can expose callable tools and context. A skill can still add a task-specific method, examples, and review criteria around those tools.
Can AnyCap use both?
Yes. AnyCap CLI 0.6.5 exposes anycap mcp for a local stdio connection. The agent skill describes the CLI workflow. Use the official Docs for setup and account requirements.
Which path costs fewer tokens or runs faster?
This comparison does not measure those outcomes. Host behavior, tool definitions, instruction loading, and the task itself affect the result. Test the same task in your environment before making a performance claim.
Are skills limited to installation instructions?
No. Skills can package task procedures, resources, and scripts. Setup can be one step, while task execution and evaluation are often the more useful parts.
Where to go next
Claude Code image generation →
Apply the decision to creating, editing, and saving an image asset.
Workflow
Agent skills →
Review the AnyCap skill and supported agent workflow.
Product
AnyCap CLI →
Explore the command runtime used by the direct CLI path.
Product
Agent skills guide →
Read a complete SKILL.md example and learn how to check discovery, triggering, and execution.
Guide
Apply this to one media task
Choose the workflow that matches your agent or input. Check setup, model access and cost before generation.
CLI version and updating · 0.6.5
Current release checked October 21, 2026: 0.6.5. Use the update command for your installation method, then verify the version and login in the same environment that runs your agent.
Direct binary installation
anycap updatenpm installation
npm install -g @anycap/cli@latestanycap --version
anycap statusVersion 0.6.5 retries transient downloads, recovers an expired video link by querying the same task, and saves multiple image outputs to numbered files. After a video download failure, resume the existing task instead of generating again.
anycap video tasks wait <task-id> -o result.mp4Dated examples retain the CLI version, output and charge from the original run. Updating the CLI does not revalidate an old result. Check the live model schema and current pricing before a new billed task.