# PaperMCP

> PaperMCP — atffang-papermcp. Use this tool when you need to efficiently search and manage large collections of papers across multiple isolated projects. PaperMCP provides dual retrieval methods, combining BM25 and dense vector searches, to help agents quickly find relevant papers. It accepts paper collections as input and outputs relevant search results, making it ideal for use cases requiring localized and multi-project paper indexing and retrieval.

Canonical page: https://skillsregistry.net/skills/atffang-papermcp  
JSON: https://api.skillsregistry.net/v1/skills/atffang-papermcp

## Description

A lightweight, local, multi-project isolated paper index server that provides dual retrieval (BM25 + dense vector) via MCP, enabling agents to search and manage paper collections across isolated projects.

## Trust

- **Trust score (0–1):** 0.06
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fvemhgbc8d)
- **Repository:** <https://github.com/ATFfang/PaperMCP>

## 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": "atffang-papermcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atffang-papermcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atffang-papermcp/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