Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/hhx465453939/mcp-pubmed-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/hhx465453939/mcp-pubmed-server/pubmed-api-integration)<a href="https://agentmods.dev/rules/hhx465453939/mcp-pubmed-server/pubmed-api-integration"><img src="https://agentmods.dev/badge/rules/hhx465453939/mcp-pubmed-server/pubmed-api-integration.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01122 |
| Opus 5 | $0.00000 | $0.00561 |
| Sonnet 5 | $0.00000 | $0.00224 |
| Haiku 4.5 | $0.00000 | $0.00112 |
Grade A, and why
pubmed-api-integration scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await fetch(searchUrl.toString(), { timeout: REQUEST_TIMEOUT }); How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PubMed API集成规范
API端点配置
const PUBMED_BASE_URL = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils';
const RATE_LIMIT_DELAY = 334; // PubMed限制:3请求/秒
const REQUEST_TIMEOUT = 30000; // 30秒超时
搜索查询构建
// 搜索URL构建模式
const searchUrl = new URL(`${PUBMED_BASE_URL}/esearch.fcgi`);
searchUrl.searchParams.append('db', 'pubmed');
searchUrl.searchParams.append('term', searchQuery);
searchUrl.searchParams.append('retmax', maxResults.toString());
searchUrl.searchParams.append('retmode', 'json');
searchUrl.searchParams.append('sort', sortMap[sortBy] || 'relevance');
searchUrl.searchParams.append('tool', 'mcp-pubmed-server');
searchUrl.searchParams.append('email', process.env.PUBMED_EMAIL);
数据获取模式
1. 搜索文献ID
// 使用 esearch.fcgi 获取PMID列表
const response = await fetch(searchUrl.toString(), { timeout: REQUEST_TIMEOUT });
const data = await response.json();
const ids = data.esearchresult?.idlist || [];
2. 获取文献详情
// 使用 esummary.fcgi 获取文献详情
const summaryUrl = new URL(`${PUBMED_BASE_URL}/esummary.fcgi`);
summaryUrl.searchParams.append('db', 'pubmed');
summaryUrl.searchParams.append('id', ids.join(','));
summaryUrl.searchParams.append('retmode', 'json');
3. 获取完整摘要
// 使用 efetch.fcgi 获取完整摘要
const abstractUrl = new URL(`${PUBMED_BASE_URL}/efetch.fcgi`);
abstractUrl.searchParams.append('db', 'pubmed');
abstractUrl.searchParams.append('id', pmid);
abstractUrl.searchParams.append('rettype', 'abstract');
abstractUrl.searchParams.append('retmode', 'text');
数据格式化
文献对象结构
const article = {
pmid: id,
title: article.title || 'No title',
authors: article.authors?.map(author => author.name) || [],
journal: article.source || 'No journal',
publicationDate: article.pubdate || 'No date',
volume: article.volume || '',
issue: article.issue || '',
pages: article.pages || '',
abstract: article.abstract || null,
doi: article.elocationid || '',
url: `https://pubmed.ncbi.nlm.nih.gov/${id}/`,
publicationTypes: article.pubtype || [],
meshTerms: article.meshterms || [],
keywords: article.keywords || []
};
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 161 lines · 1,122 tokens per session scan A 8822ab46aad1
pubmed-api-integration is a cursor rule published in the GitHub repository hhx465453939/mcp-pubmed-server (6 stars, last pushed 6mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,122 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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