MCP Server

给 Claude Desktop、Cursor 或任何 MCP 客户端添加学术引用校验能力。

@citetrue/mcp-servernpx -y @citetrue/mcp-server

能做什么

5 个工具包装 CiteTrue REST API，积分和准确率完全一致——只是走 MCP 而不是 HTTP。

工具	用途	每次积分
verify	Split a text blob into references and verify each. `depth` selects accuracy vs. cost.	1 or 5 per ref by depth
get_credits	返回账号积分余额。	0

快速开始

访问仪表盘 → API Keys，点 新建 API Key，复制 sk_ 开头的 key。
打开 MCP 客户端的配置（见「客户端配置」），加入 citetrue 块。
重启 MCP 客户端——不是刷聊天窗口，是整个应用。
试着问 Assistant "帮我验证这些引用：[粘贴]"，它会调 verify_fast 并总结结果。

客户端配置

任何 stdio 类 MCP 客户端都行。下面列出 3 种常见的，其它客户端配置结构一样。

Claude Desktop

或手动配置

macOS 编辑 ~/Library/Application Support/Claude/claude_desktop_config.json，Windows 编辑 %APPDATA%\Claude\claude_desktop_config.json：

{
  "mcpServers": {
    "citetrue": {
      "command": "npx",
      "args": ["-y", "@citetrue/mcp-server"],
      "env": {
        "CITETRUE_API_KEY": "sk_..."
      }
    }
  }
}

Cursor

在 Settings → MCP → Add new MCP server，填和下面 Claude Desktop JSON 一样结构的 command / args / env。

Windsurf、Zed、其它

任何 stdio MCP 客户端都行——无论配置在哪，填同样 3 个字段（command、args、env）。

配置项

环境变量	默认	说明
CITETRUE_API_KEY	— (必填)	Dashboard 里生成的 Bearer token。
CITETRUE_API_URL	`https://api.citetrue.com`	自建部署时覆盖。

工具

verify

Split a free-form text blob into individual references and verify each. depth selects accuracy vs. cost.

参数

Supply exactly one of text, refHash, or taskHash:

text string — raw text containing one or more references. Accepts numbered lists, bullets, blank-line-separated, BibTeX, or in-text prose with author-year citations (when depth ≥ 5). Max 10MB.
refHash string — upgrade a single prior reference to a deeper run. Requires depth ≥ 5 and parentTaskHash.
parentTaskHash string — required when using refHash; the original task that produced the ref.
taskHash string — resume a previously-started task; replays cached state. No re-billing.
depth 1 | 5, optional, default 1 — 1 fast (1 credit/ref); 5 deep (5 credits/ref). 20 exists as a closed-beta tier and is not enabled for public use.
force bool, optional — bypass cached results (forces a fresh run, charges full cost).

输出

{
  "taskHash": "...",
  "refs": [
    {
      "hash": "a1b2c3...",
      "text": "[1] Vaswani, A., Shazeer, N., Parmar (2017)...",
      "assessment": "authentic",
      "value": {
        "type": "citation",
        "title": "Attention is all you need",
        "authors": ["A Vaswani", "N Shazeer", "N Parmar"],
        "year": 2017,
        "url": "https://..."
      },
      "note": "",
      "notices": [],
      "data": { "depth": 1, "cost": 1 }
    }
  ],
  "cost": 2,
  "balance": 248
}

data.depth is the highest depth that has run on the ref (1 or 5). Clients derive a "deep-verified" flag locally as depth ≥ 5. note is a free-form one-line natural-language explanation in English (intended for end-user display); for programmatic checks, match on notices[] instead.

Assessment values

authentic — paper exists and is the one cited; value contains the matched paper.
unsure— found something but can't confirm; notices and confidence describe why.
inauthentic — definitively not found / fabricated / unrelated.
invalid— input wasn't a citation; pipeline refused to search.
error — verification failed on this ref; data.errors[] lists tokens.
exceeded — credits ran out before this ref ran.

计费

1 credit per ref for depth=1, 5 credits per ref for depth=5.

故障排查

If the server fails to start, ensure npx is on PATH and CITETRUE_API_KEY is set.