# MCP AI Server

> Use this tool when you need to create intelligent assistants that can answer domain-specific questions from your knowledge base. The MCP AI Server combines retrieval and vector storage capabilities to provide accurate and relevant responses, solving problems related to information retrieval and question answering. It takes in domain-specific knowledge and user queries as inputs, and outputs relevant answers, making it ideal for use cases where personalized and informed assistance is required.

Canonical page: https://skillsregistry.net/skills/meetrathodnitsan-mcp1  
JSON: https://api.skillsregistry.net/v1/skills/meetrathodnitsan-mcp1

## Description

A modular tool that combines RAG-based retrieval with Pinecone vector storage to create intelligent assistants capable of answering domain-specific questions from your knowledge base.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cg7zjz9x8c)
- **Repository:** <https://github.com/MeetRathodNitsan/MCP1>

## 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": "meetrathodnitsan-mcp1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meetrathodnitsan-mcp1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meetrathodnitsan-mcp1/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