# Agentic AI with MCP

> Use this tool when you need to generate contextual responses to user queries by leveraging external knowledge sources. It solves problems of limited domain knowledge and outdated information by connecting to Wikipedia, internet search, and financial data tools. This tool takes in user queries as input and outputs informed, up-to-date responses, making it ideal for applications requiring accurate and relevant information.

Canonical page: https://skillsregistry.net/skills/dev484p-agenticai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dev484p-agenticai-mcp

## Description

A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvsvc5cmhn)
- **Repository:** <https://github.com/dev484p/AgenticAI_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": "dev484p-agenticai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev484p-agenticai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev484p-agenticai-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