# Enterprise Support MCP Server

> Enterprise Support MCP Server — pbpeter-enterprise-support-mcp-server. Use this tool when you need to integrate large language models (LLMs) with customer and order data, enabling natural-language queries and automated tool interactions. It solves problems related to data accessibility and complex workflow automation, providing a unified interface for LLMs to retrieve and manipulate data. The Enterprise Support MCP Server takes in natural-language inputs and outputs relevant data and tool execution results via the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/pbpeter-enterprise-support-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pbpeter-enterprise-support-mcp-server

## Description

A prototype that exposes customer and order data to LLMs via the Model Context Protocol, enabling natural-language queries and multi-step tool calling.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ejsmqa1thy)
- **Repository:** <https://github.com/pbpeter/enterprise-support-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": "pbpeter-enterprise-support-mcp-server"
    }
  }
}
```

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