# research-project-mcp-demo

> research-project-mcp-demo — daisylandforu-research-project-mcp-demo. Use this tool when you need to manage research projects efficiently, as it enables document ingestion, information extraction, and project tracking, generating reports through MCP tools. It solves problems related to project organization, data extraction, and progress monitoring, providing a streamlined interface for inputting project data and outputting informative reports. Ideal for research teams, it facilitates collaboration and insight generation throughout the project lifecycle.

Canonical page: https://skillsregistry.net/skills/daisylandforu-research-project-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/daisylandforu-research-project-mcp-demo

## Description

A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pgf3qwjyvi)
- **Repository:** <https://github.com/DaisyLandForu/research-project-mcp-demo>

## 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": "daisylandforu-research-project-mcp-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daisylandforu-research-project-mcp-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daisylandforu-research-project-mcp-demo/pull`

---
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