# RA-Nested-MCP

> RA-Nested-MCP — ayushkhandelwal-bits-ra-nested-mcp. Use this tool when you need to automate telecom Revenue Assurance inquiries or resolve complex RA-related questions. The RA-Nested-MCP server takes in natural language queries, decomposes them, and retrieves relevant information from a local vector store of RA documents to synthesize accurate answers. Ideal for use cases where quick access to telecom revenue assurance knowledge is required, such as troubleshooting or auditing.

Canonical page: https://skillsregistry.net/skills/ayushkhandelwal-bits-ra-nested-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ayushkhandelwal-bits-ra-nested-mcp

## Description

A two-layer nested MCP server that acts as a telecom Revenue Assurance knowledge agent. It uses an orchestrator LLM (Llama 3.3 70B via Groq) to decompose questions, retrieve from a local vector store of RA documents, and synthesize answers, all running on free tiers.

## 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/xfsatd2ius)
- **Repository:** <https://github.com/ayushkhandelwal-bits/ra-nested-mcp>

## 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": "ayushkhandelwal-bits-ra-nested-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ayushkhandelwal-bits-ra-nested-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ayushkhandelwal-bits-ra-nested-mcp/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