Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Access the OpenAlex academic research catalog — 270M+ publications.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
OPENALEX_CLAMP_PER_PAGE, OPENALEX_FILTER_STRING_INPUT, OPENALEX_API_KEY, OPENALEX_MAILTO, OPENALEX_BASE_URL, MCP_LOG_LEVEL必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://openalex.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"openalex": {
"command": "npx",
"args": [
"-y",
"@cyanheads/openalex-mcp-server"
],
"env": {
"OPENALEX_CLAMP_PER_PAGE": "your-value",
"OPENALEX_FILTER_STRING_INPUT": "your-value",
"OPENALEX_API_KEY": "your-value",
"OPENALEX_MAILTO": "your-value",
"OPENALEX_BASE_URL": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add --transport http openalex https://openalex.caseyjhand.com/mcpclaude mcp add openalex --env OPENALEX_CLAMP_PER_PAGE=your-value --env OPENALEX_FILTER_STRING_INPUT=your-value --env OPENALEX_API_KEY=your-value --env OPENALEX_MAILTO=your-value --env OPENALEX_BASE_URL=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/openalex-mcp-server動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"openalex": {
"url": "https://openalex.caseyjhand.com/mcp"
}
}
}プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"openalex": {
"command": "npx",
"args": [
"-y",
"@cyanheads/openalex-mcp-server"
],
"env": {
"OPENALEX_CLAMP_PER_PAGE": "your-value",
"OPENALEX_FILTER_STRING_INPUT": "your-value",
"OPENALEX_API_KEY": "your-value",
"OPENALEX_MAILTO": "your-value",
"OPENALEX_BASE_URL": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"openalex": {
"type": "http",
"url": "https://openalex.caseyjhand.com/mcp"
}
}
}プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"openalex": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/openalex-mcp-server"
],
"env": {
"OPENALEX_CLAMP_PER_PAGE": "your-value",
"OPENALEX_FILTER_STRING_INPUT": "your-value",
"OPENALEX_API_KEY": "your-value",
"OPENALEX_MAILTO": "your-value",
"OPENALEX_BASE_URL": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://openalex.caseyjhand.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
OPENALEX_CLAMP_PER_PAGE envOPENALEX_FILTER_STRING_INPUT envOPENALEX_API_KEY envOPENALEX_MAILTO envOPENALEX_BASE_URL envMCP_LOG_LEVEL envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月7日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
openalex_resolve_nameResolve a name or an identifier to an OpenAlex ID. ALWAYS use this before filtering by entity — names are ambiguous, IDs are not. A name returns up to 10 autocomplete matches with disambiguation hints. An identifier — OpenAlex ID, DOI, ORCID, ROR, PMID, or ISSN, bare or in URL fo
openalex_search_entitiesSearch, filter, sort, or retrieve by ID. Covers all OpenAlex entity types (works, authors, sources, institutions, topics, keywords, publishers, funders, awards). Pass `id` to retrieve a single entity. Otherwise, use `query` and/or `filters` for discovery. Filters take a record ob
openalex_analyze_trendsAggregate OpenAlex entities into groups and count them. Use for trend analysis (group works by publication_year), distribution analysis (group by oa_status, type, country), and comparative analysis (group by institution or topic). Combine with filters to scope the analysis. Retur
openalex_get_citation_graphWalk the citation graph one hop from a seed work. Direction picks the edge: incoming citations (`cites`), the seed's own references (`cited_by`), or OpenAlex's algorithmically-related works (`related_to`). Note: `direction` follows OpenAlex's filter convention, which inverts the
openalex_describe_fieldsList valid field names for an OpenAlex entity type and context (filter, group_by, or select). Use proactively before constructing a filter or group_by to avoid invalid-field 400 errors. Pass `query` to rank the list by name similarity — useful when you have a partial or guessed f
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント cyanheads で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
199ミリ秒で応答(HTTP 200)
サインイン不要
5件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
GitHubリポジトリの最終更新は–、最新バージョン(0.11.0)がレジストリに届いたのは9 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
@cyanheads/openalex-mcp-server Access the OpenAlex academic research catalog — 270M+ publications — via MCP. STDIO or Streamable HTTP. 5 Tools • 2 Prompts
Public Hosted Server: https://openalex.caseyjhand.com/mcp
Scholarly catalog data from OpenAlex — 270M+ works, 90M+ authors, 100K+ sources, plus institutions, topics, keywords, publishers, funders, and awards. Search, filter, and aggregate across all nine entity types, resolve ambiguous names to canonical IDs, and walk the citation graph one hop at a time.
| Tool | Description |
|---|---|
openalex_search_entities | Search, filter, sort, or retrieve by ID across all 9 entity types |
openalex_analyze_trends | Group-by aggregation for trend and distribution analysis |
openalex_resolve_name | Resolve a name or an identifier (DOI, ORCID, ROR, PMID, ISSN, OpenAlex ID) to an OpenAlex ID |
openalex_get_citation_graph | Walk the citation graph one hop from a seed work: cites, cited_by, or related_to |
openalex_describe_fields | List valid filter, group_by, and select field names for an entity type |
| Prompt | Description |
|---|---|
openalex_literature_review | Guides a systematic literature search: formulate query, search, filter, analyze citation network, synthesize findings |
openalex_research_landscape | Analyzes the research landscape for a topic: volume trends, top authors/institutions, open access rates, funding sources |
The server also publishes an agent skill, openalex-guide (skill://openalex-guide/SKILL.md, source in skills/openalex-guide/): which filter key answers the question, how to read group_by counts, where each ID type comes from, and how to pin an author without picking a namesake. It ships in the npm package, the Docker image, the .mcpb bundle, and plugin installs.
openalex_search_entities toolid: an OpenAlex ID, DOI, ORCID, ROR, PMID, ISSN, or PMCID, bare or as a URL (OpenAlex record-page and API URLs such as https://openalex.org/works/W2741809807 included), or a keyword by its slug or URL. Under entity_type: "funders", a Crossref Funder Registry DOI (10.13039/…) also resolvesid takes precedence: search parameters passed alongside it are dropped, and the response names which onesid with characters past the identifier (W2741809807#x still returns W2741809807), and a funder DOI, which each bill as one list callid_type_mismatch (an OpenAlex ID of another entity type) or id_dot_segment (a . or .. path segment); a ?, #, \, tab, or line break inside an identifier is percent-encoded, so SICI DOIs ending in # resolveentity_type: "awards" reaches grants (G… IDs), which openalex_resolve_name does not look up since OpenAlex has no award autocompleteexact and semantic search modes — semantic ranks a query-dependent candidate set at ~1 req/sec (up to 50 per page), and its meta.count reports the candidate count rather than a match totalfilters accepts a record object or an unambiguous native string ("issn:0920-8542"), including through the filter alias. Conversion is disclosed in notice; commas outside paired double quotes separate clauses, and the first colon separates a key from its value, preserving DOI/URL colons and quoted comma phrases. Exact duplicate keys, bare fragments, and unmatched quotes are rejected with record-form recovery guidance. A record holds one value per key; distinct aliases of the same upstream field still AND together. Set OPENALEX_FILTER_STRING_INPUT=false to require record objects. Native strings apply only to this tool's filters, with the record form remaining the advertised schemaunmatched_quote_in_filter_value); citation filters are checked before the seed lookup. Balanced search phrases such as "graph neural" networks remain valid, including .search.exact. A value sent double-quoted still cannot contain its own interior double quote (quote_in_filter_value)|), AND within a field (+), NOT (!), ranges, comparisons| with an AND (a +, or a space between IDs or codes): OpenAlex would silently drop the AND-ed alternatives, so DE|FR+US and authorships.author.id: A1 A2|A3 fail as mixed_and_or_in_filter_value before any request. Put the AND in a second key instead (institutions.country_code: US beside authorships.institutions.country_code: DE|FR on works)display_name, awards.funder_display_name, awards.funder_award_id, geo.city, geo.region, raw_affiliation_strings, block_key, biblio fields) are sent double-quoted, so a value with spaces or commas matches as one phrase (awards.funder_display_name: National Science Foundation). ! and | still work (geo.city: New York|Boston); + cannot AND it with another value.search values and whole-text fields; anywhere else it fails as comma_in_filter_value (use | for OR)+ is a literal character in .search values, DOIs, dates, URLs, exactly matched names (C++, Erasmus+), biblio fields (issue 1+2), and awards.funder_award_idquote_in_filter_valuefilters:country_code, country_codes, or countries): ISO alpha-3 codes, numeric codes, and English names (ISO's or OpenAlex's own facet labels, such as Ivory Coast) become alpha-2 (DEU, 276, Germany → DE; UK → GB). A value that cannot be a country (Germanyy, 999, DE US) fails as invalid_country_code before any requestlanguage: ISO 639-2 codes and English names become ISO 639-1 (eng, English → en; Cebuano → ceb)|/+ segment converts on its own (South Korea|Japan → KR|JP); anything else (null, XK, zh-cn, the countries/DEU path form) is sent as givenselect returns a curated per-entity-type default unless overridden, or ["*"] for the full record; invalid field names error with the valid set. On works, author_list returns each author in authorship order as {id, display_name, orcid} — about a tenth the size of authorships, which adds institutions and affiliations — and is never part of the default or ["*"]page (1-based) instead, up to 50 per page, and mixing either knob with the wrong search_mode is rejected before the upstream callsample (up to 10,000) plus a deterministic seed for reproducible random sampling; keyword and exact modes only, and never alongside sort or cursor — OpenAlex does not sample a semantic search and refuses a sorted sample, so those combinations are rejected before the upstream call. per_page defaults to min(sample, 100), so a sample of 100 or fewer returns whole in one call; a larger one is walked with page and a seed (sample_page_without_seed without one), up to record 10,000 (sample_page_too_deep past it)per_page records, whole, and an id lookup returns every selected array whole; slice: {field, offset, limit} on an id lookup pages one array by count (limit default 50, clamped to 5,000). A response over 8,000,000 bytes on either surface (structuredContent, or content[] text) fails as response_too_large and names a per_page or slice.limit that fits, or a narrower selectauthorships or author_list entries is flagged as possibly capped, with an id + slice call to retrieve more stored authors. Singleton lookups and snapshots retain at most 5,000 authorships per work; at that ceiling both author fields remain possibly capped on every slice. total counts stored entries rather than a complete byline, and next becomes null when those entries are exhausted. Another OpenAlex fetch or snapshot cannot recover authors beyond the storage ceilingnotice, a log, and a counter: per_page above 100 (200 on analysis, 50 under semantic search), slice.limit above 5,000, and sample above 10,000. Set OPENALEX_CLAMP_PER_PAGE=false to reject each over its cap instead. Zero, negatives, and fractions always reject. An id ignores page sizedisplay_name is nullable for untitled records; every call reports OpenAlex daily-budget cost and remaining balanceopenalex_analyze_trends toolfilters to scope the population before aggregationorder: "count" (default) returns the top-N by count with no further pages; order: "key" enumerates distinct values key-ascending with cursor pagination. Boolean fields keep count order even with "key" and do not support cursor pagination. A supplied cursor selects key order even when order is omitted or "count". OpenAlex can wrap a key-ordered walk to earlier groups: stop when a page's first key repeats an earlier key, or when a page is short or empty, even if next_cursor is still present冒頭だけを表示しています。続きはリポジトリで読めます