# Harness Research MCP

> Use this tool when you need to conduct in-depth research and analysis, aggregating real-time data from multiple sources to generate comprehensive reports. It solves problems of information overload, credibility assessment, and report generation, providing AI agents with a robust research capability. Ideal for use cases requiring thorough and trustworthy research outputs, such as academic papers, market analysis, and investigative reporting.

Canonical page: https://skillsregistry.net/skills/nimo1987-harness-research  
JSON: https://api.skillsregistry.net/v1/skills/nimo1987-harness-research

## Description

Enables AI agents to perform professional-grade deep research by aggregating real-time data from multiple sources, evaluating source credibility, and generating comprehensive reports.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hgbx74hve9)
- **Repository:** <https://github.com/Nimo1987/harness-research>

## 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": "nimo1987-harness-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nimo1987-harness-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nimo1987-harness-research/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