# Deep Research Agent MCP Server

> Use this tool when you need to automate in-depth research tasks, such as gathering and organizing large amounts of web data, to generate structured executive reports. It solves problems related to information overload, manual data processing, and report creation, providing a streamlined interface for inputting research queries and outputting comprehensive reports. Ideal for use cases requiring efficient and thorough research, data analysis, and report generation, it takes in research topics and parameters, and outputs organized, actionable insights.

Canonical page: https://skillsregistry.net/skills/melisasvr-deep-research-agent-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/melisasvr-deep-research-agent-mcp-server

## Description

An AI-powered deep research agent that automates the full research pipeline from web search to structured executive reports using a 4-tool pipeline (search, fetch, cluster, report).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mpb7n97s79)
- **Repository:** <https://github.com/melisasvr/Deep-Research-Agent-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": "melisasvr-deep-research-agent-mcp-server"
    }
  }
}
```

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