# MarketIntel MCP Server

> MarketIntel MCP Server — akumar1903-ai-powered-market-research-mcp-server. Use this tool when you need to perform real-time market research and analysis, including competitor analysis and pricing intelligence. It solves problems related to market awareness and business intelligence by providing up-to-date information through live web search via the Tavily API. The tool takes search queries as input and outputs relevant market data and insights, making it ideal for use cases requiring timely and accurate market information.

Canonical page: https://skillsregistry.net/skills/akumar1903-ai-powered-market-research-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/akumar1903-ai-powered-market-research-mcp-server

## Description

Enables AI assistants to perform real-time market research including competitor analysis, pricing intelligence, and company overviews via live web search through Tavily API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g4lyviti5p)
- **Repository:** <https://github.com/akumar1903/AI-Powered-Market-Research-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": "akumar1903-ai-powered-market-research-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akumar1903-ai-powered-market-research-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akumar1903-ai-powered-market-research-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
