# Agentic MCP Microservices

> Agentic MCP Microservices — sganapa-agentic-mcp-microservices. Use this tool when you need to manage customer and order workflows, and integrate with underlying REST services to access customer profiles, order listings, and cancellation tools. It solves problems related to customer data management and order processing by providing a centralized interface for AI agents. The Agentic MCP Microservices tool takes in API requests and returns relevant customer and order data, making it ideal for use cases that require automated workflow management and integration with existing REST services.

Canonical page: https://skillsregistry.net/skills/sganapa-agentic-mcp-microservices  
JSON: https://api.skillsregistry.net/v1/skills/sganapa-agentic-mcp-microservices

## Description

MCP server that exposes customer profile, order listing, and order cancellation tools, integrating with underlying REST services to enable AI agents to manage customer and order workflows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x09xl867iu)
- **Repository:** <https://github.com/sganapa/agentic-mcp-microservices>

## 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": "sganapa-agentic-mcp-microservices"
    }
  }
}
```

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

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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
