# Contextual MCP Server

> Contextual MCP Server — nitishgourishetty-contextual-mcp-server. Use this tool when you need to generate context-aware responses with citations, or process queries that require retrieval-augmented generation capabilities. It solves problems related to information retrieval, query processing, and context-aware response generation, providing outputs with relevant citations. Ideal for use cases involving natural language processing, research, or data analysis, it integrates with MCP clients and accepts queries as input, returning informative and contextualized responses.

Canonical page: https://skillsregistry.net/skills/nitishgourishetty-contextual-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nitishgourishetty-contextual-mcp-server

## Description

Provides RAG (Retrieval-Augmented Generation) capabilities via Contextual AI, enabling query processing and context-aware responses with citations. Integrates with MCP clients like Cursor IDE and Claude Desktop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jottpsq3nj)
- **Repository:** <https://github.com/NitishGourishetty/contextual-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": "nitishgourishetty-contextual-mcp-server"
    }
  }
}
```

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