# mcp-research-server-on-EC2

> mcp-research-server-on-EC2 — cyprianfusi-mcp-research-server-on-ec2. Use this tool when you need to manage and retrieve research data efficiently, as it provides intelligent data organization and semantic search capabilities using vector embeddings. The mcp-research-server-on-EC2 solves problems of data overload and information retrieval, allowing users to save and organize research content. It takes in research data as input and outputs relevant search results, ideal for use cases involving large amounts of research information.

Canonical page: https://skillsregistry.net/skills/cyprianfusi-mcp-research-server-on-ec2  
JSON: https://api.skillsregistry.net/v1/skills/cyprianfusi-mcp-research-server-on-ec2

## Description

A Model Context Protocol (MCP) server that provides intelligent research data management using vector embeddings and semantic search. This server enables you to save, organize, and retrieve research content using ChromaDB and OpenAI embeddings, deployed on AWS EC2.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/CyprianFusi/mcp-research-server-on-EC2)

## 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": "cyprianfusi-mcp-research-server-on-ec2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cyprianfusi-mcp-research-server-on-ec2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cyprianfusi-mcp-research-server-on-ec2/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