# mcp-server

> mcp-server — navneetprabhakar-mcp-server. Use this tool when you need to manage and interact with AI models using the Model Context Protocol (MCP) over a web-based interface. It solves problems related to model deployment, management, and integration by providing a streamable WebMVC transport for utility tools. Ideal for use cases involving AI model serving, testing, and version control, with inputs including model updates and outputs such as model predictions and performance metrics.

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

## Description

Spring AI Model Context Protocol (MCP) server exposing utility tools over a streamable WebMVC transport

## 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:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/navneetprabhakar/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": "navneetprabhakar-mcp-server"
    }
  }
}
```

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