OpenClaw supports both MCP (Model Context Protocol) servers and skills. They solve different problems: MCP servers provide tool-level integrations through a standardized protocol, while skills provide behavioral instructions and orchestration logic. This guide explains the differences, trade-offs, and when to use each.
MCP (Model Context Protocol) servers are external processes that expose tools, resources, and prompts through a standardized JSON-RPC protocol. They run as separate processes and communicate with OpenClaw over stdio or HTTP. MCP servers are language-agnostic — you can write them in Python, TypeScript, Go, or any language. OpenClaw skills are SKILL.md files that define behavioral instructions, tool descriptions, and orchestration logic directly in the OpenClaw configuration. They don't run as separate processes — they're instructions that tell OpenClaw how to behave. Think of it this way: MCP servers are like APIs (they provide capabilities), while skills are like playbooks (they provide instructions on how to use capabilities).
Use MCP servers when you need: Custom tool implementations. If you need OpenClaw to call a proprietary API, query a database, or interact with a system that requires custom code, build an MCP server. The server handles the implementation; OpenClaw calls the exposed tools. Language-specific processing. Need Python for data science, Go for high-performance processing, or Rust for systems work? MCP servers let you write tools in any language. Shared infrastructure. MCP servers can serve multiple AI clients, not just OpenClaw. If you're building a tool that Claude, GPT, and OpenClaw should all use, MCP is the standard. Heavy computation. MCP servers run as separate processes with their own memory and CPU allocation. For resource-intensive tasks, this isolation is beneficial. Popular MCP integrations include database connectors, file system access, web search, and cloud API wrappers.
Use skills when you need: Behavioral orchestration. Skills excel at defining multi-step workflows, decision trees, and coordination between tools. The Agent Orchestrator skill coordinates multiple agents — that's orchestration logic, not a tool implementation. Prompt engineering. Skills like GPT Prompt Chainer and Prompt Optimizer improve how OpenClaw interacts with LLMs. These are behavioral modifications, not external tools. Quick setup. Skills install with one command (`npx clawhub@latest install`) and require no separate process management. MCP servers need to be started and managed. Community ecosystem. The skills directory has 5,705+ pre-built skills. For common use cases, a skill likely already exists. No-code customization. Non-developers can create and modify skills by editing SKILL.md files. MCP servers require programming knowledge.
The most powerful OpenClaw setups combine both. A common pattern: 1. MCP servers provide the low-level tools: database queries, API calls, file operations. 2. Skills provide the high-level orchestration: when to call which tool, how to process results, and how to handle errors. Example: An MCP server exposes tools for querying your PostgreSQL database. A skill defines a 'Sales Report Generator' workflow that uses the database tools to pull data, the GPT Prompt Chainer to analyze trends, and the PDF Generator to create a formatted report. For more on building custom skills that leverage MCP servers, see our skill creation guide.
MCP Security: - Runs as a separate process with OS-level isolation - Permissions are defined per-server in the MCP configuration - Can access any system resource the server process has access to - Harder to audit — requires reading server source code Skill Security: - Runs within the OpenClaw process - Permissions declared in SKILL.md are transparent and auditable - The ClawSkills directory provides security status badges (verified, community, unreviewed) - Easier to audit — SKILL.md files are human-readable For a comprehensive security guide covering both MCP servers and skills, see our security article. FAQ: OpenClaw MCP vs Skills Can I convert an MCP server to an OpenClaw skill? Not directly — they solve different problems. But you can create a skill that orchestrates calls to an MCP server's tools. Are MCP servers more secure than skills? They offer process isolation, which is a security advantage. But skills offer transparency through SKILL.md declarations. Both require evaluation. Which is better for beginners? Skills. They install with one command, require no coding, and the ClawSkills directory has thousands of ready-to-use options.