# Model Context Protocol Server

> Use this tool when you need to enhance AI model responses with contextual information or route queries to appropriate data sources. It solves problems of data siloing and inadequate context in AI decision-making by providing a middleware layer for intelligent query routing. The server accepts AI model queries as input and outputs contextualized responses, making it ideal for use cases requiring informed and data-driven AI interactions.

Canonical page: https://skillsregistry.net/skills/shekharmaheswari85-mcp  
JSON: https://api.skillsregistry.net/v1/skills/shekharmaheswari85-mcp

## Description

A middleware server that intelligently routes AI model queries to appropriate data sources, providing contextual information to enhance AI responses.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jfj450qbva)
- **Repository:** <https://github.com/Shekharmaheswari85/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": "shekharmaheswari85-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shekharmaheswari85-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shekharmaheswari85-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