# dsrh-mcp

> dsrh-mcp — meteora0720-deepseek-research-harness. Use this tool when you need to verify citations, plan reproducible experiments, or read papers with evidence-grounded insights. It solves problems related to research validation and experiment planning by providing a deterministic interface for reading and analyzing papers. The tool takes in paper-related inputs and outputs verified citations and experiment plans through a Python stdio server.

Canonical page: https://skillsregistry.net/skills/meteora0720-deepseek-research-harness  
JSON: https://api.skillsregistry.net/v1/skills/meteora0720-deepseek-research-harness

## Description

Provides evidence-grounded paper reading, citation verification, and reproducible experiment planning through DeepSeek Harness via a deterministic Python stdio server.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rt469sg0a9)
- **Repository:** <https://github.com/Meteora0720/Deepseek-Research-Harness>

## 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": "meteora0720-deepseek-research-harness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meteora0720-deepseek-research-harness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meteora0720-deepseek-research-harness/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