# mcp-research-agent-system

> mcp-research-agent-system — hemanth2k6-mcp-research-agent-system. Use this tool when you need to efficiently manage and retrieve research information, as it solves problems related to knowledge discovery and organization by providing search, details, and cached summaries via SQLite. It takes in research queries and outputs relevant results, summaries, and details, leveraging an arXiv MCP server and LangGraph-based research agents. Ideal for use cases requiring streamlined access to research data, such as academic research, literature reviews, or knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/hemanth2k6-mcp-research-agent-system  
JSON: https://api.skillsregistry.net/v1/skills/hemanth2k6-mcp-research-agent-system

## Description

A production-quality multi-agent research system with an arXiv MCP server and LangGraph-based research agents, providing search, details, and cached summaries via SQLite.

## 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:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qov9ow1axc)
- **Repository:** <https://github.com/hemanth2k6/mcp-research-agent-system>

## 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": "hemanth2k6-mcp-research-agent-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hemanth2k6-mcp-research-agent-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hemanth2k6-mcp-research-agent-system/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