agentic-mcp — community agentic-mcp, Agentic-MCP-Skill, cablate, community, ai agent skill, ide skills, agent automation, AI agent skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for AI Agents requiring efficient token usage and lazy loading mechanisms in Progressive MCP clients. Agentic-MCP, Progressive MCP client with three-layer lazy loading. Validates AgentSkills.io pattern for efficient token usage. Use MCP without pre-install & wasting full-loading

cablate cablate
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Updated: 3/26/2026

Quality Score

Top 5%
57
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add cablate/Agentic-MCP-Skill/agentic-mcp
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The agentic-mcp skill by cablate is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Ideal for AI Agents requiring efficient token usage and lazy loading mechanisms in Progressive MCP clients.

Core Value

Empowers agents to efficiently manage tokens and interact with MCP servers using a three-layer lazy loading mechanism, enabling seamless metadata retrieval, tool listing, and schema inspection via JSON parameters.

Capabilities Granted for agentic-mcp

Starting and stopping daemons for MCP server management
Retrieving server information and tool listings
Inspecting tool schemas and making calls with custom parameters

! Prerequisites & Limits

  • Requires configuration file in JSON format (mcp-servers.json)
  • Dependent on daemon start and stop commands for operation
Project
SKILL.md
2.9 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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Agentic MCP

Quick start

bash
1agentic-mcp daemon start --config <mcp-servers.json path> # Start daemon 2agentic-mcp metadata <server-name> # Get server info 3agentic-mcp list <server-name> # List tools 4agentic-mcp schema <server-name> <tool-name> # Get tool schema 5agentic-mcp call <server-name> <tool-name> --params '{"arg":"value"}' # Call tool 6agentic-mcp daemon stop # Stop daemon

Core workflow

  1. agentic-mcp daemon start - Start daemon
  2. agentic-mcp metadata <server> - Layer 1: server info
  3. agentic-mcp list <server> - Layer 2: available tools
  4. agentic-mcp schema <server> <tool> - Layer 3: tool details
  5. agentic-mcp call <server> <tool> --params '{"arg":"value"}' - Execute tool

Daemon management

bash
1agentic-mcp daemon start # Start daemon 2agentic-mcp daemon health # Check status 3agentic-mcp daemon reload # Reload config 4agentic-mcp daemon stop # Stop daemon 5agentic-mcp daemon start --config <path> # Custom config

Sessions (isolated instances):

bash
1MCP_DAEMON_SESSION=<name> agentic-mcp daemon start

Query commands

bash
1agentic-mcp metadata <server> # Server info 2agentic-mcp list <server> # List tools 3agentic-mcp schema <server> <tool> # Tool schema 4agentic-mcp daemon health # Check daemon status

Tool calls

bash
1agentic-mcp call <server> <tool> --params '{"argName":"value"}'

All parameters must be JSON object via --params.

JSON mode:

bash
1agentic-mcp metadata <server> --json 2agentic-mcp call <server> <tool> --params '{"arg":"value"}' --json

Configuration

mcp-servers.json:

json
1{ 2 "servers": { 3 "<server-name>": { 4 "command": "npx", 5 "args": ["-y", "@scope/mcp-server"] 6 } 7 } 8}

Socket protocol

Command (newline-delimited JSON):

json
1{"id":"1","action":"metadata","server":"<server>"}

Response:

json
1{"id":"1","success":true,"data":{...}}

Platform: Windows (TCP) / Unix (domain socket)

Examples

Basic usage:

bash
1agentic-mcp daemon start 2agentic-mcp metadata <server> 3agentic-mcp list <server> 4agentic-mcp schema <server> <tool> 5agentic-mcp call <server> <tool> --params '{"arg":"value"}'

Multiple sessions:

bash
1MCP_DAEMON_SESSION=proj1 agentic-mcp daemon start 2MCP_DAEMON_SESSION=proj2 agentic-mcp daemon start

Debugging

bash
1agentic-mcp daemon health # Check status 2agentic-mcp daemon reload # Reload after config change

Errors

✗ MCP daemon is not running
✗ Server '<name>' not found
✗ Tool '<name>' not found
✗ Required argument '<name>' not provided

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is agentic-mcp?

Ideal for AI Agents requiring efficient token usage and lazy loading mechanisms in Progressive MCP clients. Agentic-MCP, Progressive MCP client with three-layer lazy loading. Validates AgentSkills.io pattern for efficient token usage. Use MCP without pre-install & wasting full-loading

How do I install agentic-mcp?

Run the command: npx killer-skills add cablate/Agentic-MCP-Skill/agentic-mcp. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for agentic-mcp?

Key use cases include: Starting and stopping daemons for MCP server management, Retrieving server information and tool listings, Inspecting tool schemas and making calls with custom parameters.

Which IDEs are compatible with agentic-mcp?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for agentic-mcp?

Requires configuration file in JSON format (mcp-servers.json). Dependent on daemon start and stop commands for operation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add cablate/Agentic-MCP-Skill/agentic-mcp. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use agentic-mcp immediately in the current project.

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