# agentic-mcp-server

> agentic-mcp-server — jsxtech-agentic-mcp-server. Use this tool when you need to deploy a multi-agent application with local large language model (LLM) capabilities and offline support. It solves problems related to autonomous agent management, workflow automation, and offline access to AI functionality. The tool accepts various inputs and outputs through its 50 workflows and 45 agents interface, making it suitable for use cases requiring complex task automation and local AI processing.

Canonical page: https://skillsregistry.net/skills/jsxtech-agentic-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jsxtech-agentic-mcp-server

## Description

Agentic AI multi-agent application with local LLM (Ollama) and MCP server support. 45 agents, 50 workflows, fully offline. Jaspal 9891156880

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/jsxtech/agentic-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jsxtech-agentic-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jsxtech-agentic-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jsxtech-agentic-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt