# MCP_Assistant

> MCP_Assistant — itsabhishekm-mcp-assistant. Use this tool when you need to automate browser tasks or answer general queries, as it leverages Model Context Protocol (MCP) to provide accurate responses and perform automation tasks. It accepts natural language inputs and returns relevant outputs, making it suitable for a wide range of applications. Ideal for use cases where automation and information retrieval are required, such as data extraction or research tasks.

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

## Description

Model Context Protocol based AI Assistant built using langchain-groq, which uses MCP to perform browser automation and answer any general queries,  developed using Streamlit as frontend and FastAPI as backend.

## 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:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/itsabhishekm/MCP_Assistant)

## 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": "itsabhishekm-mcp-assistant"
    }
  }
}
```

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