# research-assistant-mcp

> Use this tool when you need to efficiently manage and retrieve research content, solving problems of data organization and information overload. It enables saving and retrieving research data through ChromaDB vector storage and semantic search, accepting research content as input and outputting relevant search results. Ideal for use cases involving complex research projects, academic papers, or large-scale data analysis.

Canonical page: https://skillsregistry.net/skills/laxmimerit-research-assistant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/laxmimerit-research-assistant-mcp

## Description

An MCP server that enables saving, retrieving, and managing research content using ChromaDB vector storage and semantic search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nc8a09i2gb)
- **Repository:** <https://github.com/laxmimerit/research-assistant-mcp>

## 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": "laxmimerit-research-assistant-mcp"
    }
  }
}
```

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