Agentic MCP
CheckedThree-layer progressive MCP client with Socket daemon. Query available tools, call MCP servers efficiently, and manage daemon processes. Reduces token overhead with lazy loading.
Install on your platform
Showing OpenClaw.
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Run this in your terminal
terminal$ openclaw skills install agentic-mcp
What we know about this skill
Publisher
cablate
Taken from the source listing. We haven't verified who controls this account.
Install target
Pinned to 7d7ebbed
Installs fetch a stored snapshot of that commit, so the code can't change after the fact.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned cablate/agentic-mcp-skill at 7d7ebbed34.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7d7ebbed34
- Manifest
- SKILL.md
- Scanned
- 29 files, 4,442 lines
About this skill
What it does
The agentic-mcp skill enables AI agents to interact with Multi-Client Processes (MCPs) through a three-layer architecture. This includes querying available tools, making efficient calls to MCP servers, and managing underlying daemon processes. A key feature is lazy loading which minimizes token usage during interactions by only retrieving necessary information when it's needed.
When to use it
- Complex Task Automation: Automate workflows that require interaction with multiple backend services or APIs managed through an MCP system.
- Resource-Constrained Environments: Utilize the skill in environments where minimizing token consumption is critical, such as edge computing scenarios.
- Tool Discovery & Orchestration: Allow agents to dynamically discover and utilize available tools exposed via the MCP infrastructure.
- Daemon Management: Agents needing to monitor or control background processes managed by the MCP daemon can leverage this skill.
Key capabilities
- Querying of available tools within the MCP environment.
- Efficient calling of MCP servers.
- Management of daemon processes associated with the MCP system.
- Lazy loading for reduced token overhead.
- Three-layer progressive architecture for structured interaction.
Example prompts
- "List all available tools registered in the MCP."
- "Call the 'process_image' MCP server and pass it this image data: [image data]."
- "Check the status of the MCP daemon process."
Tips & gotchas
The skill requires a functional Socket daemon to be running for communication. Ensure that the agent has appropriate permissions to access and interact with the MCP servers and associated daemons.