Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
RSS, Atom and JSON feeds for agents: find a site's feed, read items as JSON, keyless news search.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://rssfeedmcp.dev/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http rss-feed https://rssfeedmcp.dev/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"rss-feed": {
"url": "https://rssfeedmcp.dev/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"rss-feed": {
"type": "http",
"url": "https://rssfeedmcp.dev/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://rssfeedmcp.dev/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 ux-xd 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.2)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
RSS, Atom and JSON feeds for agents: find a site's feed, read items as JSON, keyless news search. Remote MCP server over Streamable HTTP at
https://rssfeedmcp.dev/mcp. Free, no API key. Tools:feed_items,feed_find,news_search. The tool list is fixed per version.
feed_items turns a feed URL, or just a site, into dated items with links, authors, categories, a short lead and bounded plain text: RSS 2.0, Atom, RDF and JSON Feed 1.1 are normalized to one shape, newest first, deduplicated, filtered by date, and fetched with conditional requests so a polling agent never hammers the publisher. feed_find runs the discovery ladder on a site (link tags and the Link header, feed-shaped anchors in the page, the common paths on the deepest prefix first, then a short table of well-known legacy feeds) and reports every rung it tried, so a miss is diagnosable. news_search answers the more common ask, what is the news about X, over Google News and Bing News RSS fused by reciprocal rank, with each story's publisher, which engines carried it, and the other URLs it appeared under. Free, keyless, no account; one fetch per rung, never a crawler.
Use when: The user wants what is new on a site or blog (feed_items with the site URL), needs a feed URL for a site that only shows HTML (feed_find), or asks what the news says about a topic (news_search). Use instead of scraping listing pages by hand.
Not for: Reading a single article's full body (use a page-to-markdown tool), managing subscriptions or read state (no accounts here), push notifications, or sites that publish no feed at all and are not covered by news search.
Quick install (Claude Code): claude mcp add --transport http rss-feed https://rssfeedmcp.dev/mcp -s user
Live server: https://rssfeedmcp.dev
| Tool | Purpose | Effects |
|---|---|---|
feed_items | Read a feed as clean JSON items (id, title, url, published, authors, categories, a ≤200-char lead, bounded plain text), newest first, deduplicated, optionally since a date. url may be a feed URL or just a site: the discovery ladder runs and the result says how it resolved. Use for "what is new on X". | read-only, open-world, idempotent |
feed_find | Find the RSS/Atom/JSON feed(s) of a site: tags and the Link header, feed-shaped links in the page, the common paths on the deepest path prefix first, then a short table of well-known legacy feeds; every rung tried is returned. Use when you need a feed URL, want all of a site's feeds, or feed_items missed and you want to see why. | read-only, open-world, idempotent |
news_search | Keyless news search: Google News RSS and Bing News RSS in parallel, fused by reciprocal rank, deduplicated by normalized URL, same-story variants grouped under also_on, each item with its publisher and which engines carried it (via: both is the strongest signal). Use for "what is the news about X"; use feed_items for one site's own posts. | read-only, open-world |
Every tool takes task_context: one sentence on what the user is trying to do. It is required.
feed_itemsRead a feed as clean JSON items (id, title, url, published, authors, categories, a ≤200-char lead, bounded plain text), newest first, deduplicated, optionally since a date. url may be a feed URL or just a site: the discovery ladder runs and the result says how it resolved. Use for "what is new on X".
Input schema:
{
"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "url": { "type": "string", "minLength": 3, "maxLength": 2000, "description": "Feed URL, or a site/page URL to discover the feed for." }, "limit": { "default": 20, "type": "integer", "minimum": 1, "maximum": 100 }, "since": { "description": "ISO date/time; only items published or updated after it.", "type": "string", "maxLength": 40 }, "max_chars": { "default": 30000, "description": "Total budget for content_text across the returned items.", "type": "integer", "minimum": 1000, "maximum": 200000 }, "task_context": { "type": "string", "minLength": 1, "maxLength": 500, "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need." } }, "required": [ "url", "limit", "max_chars", "task_context" ], "additionalProperties": false }
Example arguments:
{
"url": "https://github.blog", "limit": 5, "task_context": "example: Read a feed as clean JSON items (id, title, url, published, " }
feed_findFind the RSS/Atom/JSON feed(s) of a site: tags and the Link header, feed-shaped links in the page, the common paths on the deepest path prefix first, then a short table of well-known legacy feeds; every rung tried is returned. Use when you need a feed URL, want all of a site's feeds, or feed_items missed and you want to see why.
Input schema:
{
"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "site": { "type": "string", "minLength": 3, "maxLength": 2000, "description": "Site or page URL, e.g. \"arstechnica.com\" or \"https://vercel.com/blog\"." }, "all": { "default": false, "description": "Keep going after the first feed to list every feed found (costs more fetches).", "type": "boolean" }, "task_context": { "type": "string", "minLength": 1, "maxLength": 500, "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need." } }, "required": [ "site", "all", "task_context" ], "additionalProperties": false }
Example arguments:
{
"site": "github.blog", "task_context": "example: Find the RSS/Atom/JSON feed(s) of a site: <link rel=\"alterna" }
news_searchKeyless news search: Google News RSS and Bing News RSS in parallel, fused by reciprocal rank, deduplicated by normalized URL, same-story variants grouped under also_on, each item with its publisher and which engines carried it (via: both is the strongest signal). Use for "what is the news about X"; use feed_items for one site's own posts.
Input schema:
{
"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "query": { "type": "string", "minLength": 2, "maxLength": 200, "description": "News query; at least 2 characters (a 1-char query returns unrelated noise from the engines)" }, "limit": { "default": 20, "type": "integer", "minimum": 1, "maximum": 50 }, "when": { "description": "Recency window (Google News honours it; Bing News has no such knob and is queried as-is).", "type": "string", "enum": [ "1h", "1d", "7d", "30d" ] }, "lang": { "default": "en", "description": "Google News hl language, e.g. en, de.", "type": "string", "minLength": 2, "maxLength": 5 }, "region": { "default": "US", "description": "Google News gl region, e.g. US, GB.", "type": "string", "minLength": 2, "maxLength": 2 }, "task_context": { "type": "string", "minLength": 1, "maxLength": 500, "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need." } }, "required": [ "query", "limit", "lang", "region", "task_context" ], "additionalProperties": false }
Example arguments:
{
"query": "Model Context Protocol", "when": "7d", "task_context": "example: Keyless news search: Google News RSS and Bing News RSS in pa" }
Endpoint: https://rssfeedmcp.dev/mcp (Streamable HTTP, MCP 2026-07-28 with 2025-era fallback). Authentication: none.
claude mcp add --transport http rss-feed https://rssfeedmcp.dev/mcp -s user
{
"mcpServers": { "rss-feed": { "url": "https://rssfeedmcp.dev/mcp" } } }
{
"servers": { "rss-feed": { "type": "http", "url": "https://rssfeedmcp.dev/mcp" } } }
or code --add-mcp '{"name":"rss-feed","type":"http","url":"https://rssfeedmcp.dev/mcp"}'
Settings → Connectors → Add custom connector → URL https://rssfeedmcp.dev/mcp, Authentication: None.
Settings → Connectors → Add custom connector → https://rssfeedmcp.dev/mcp. Desktop app / Codex share ~/.codex/config.toml:
[mcp_servers.rss-feed]
url = "https://rssfeedmcp.dev/mcp"
[mcp_servers.rss-feed]
url = "https://rssfeedmcp.dev/mcp"
gemini mcp add --transport http rss-feed https://rssfeedmcp.dev/mcp -s user
(settings.json uses httpUrl, not url.)
{
"mcpServers": { "rss-feed": { "serverUrl": "https://rssfeedmcp.dev/mcp" } } }
{
"mcpServers": { "rss-feed": { "type": "streamableHttp", "url": "https://rssfeedmcp.dev/mcp" } } }
name: rss-feed
mcpServers:
{
"context_servers": { "rss-feed": { "source": "custom", "command": "npx", "args": [ "-y", "mcp-remote", "https://rssfeedmcp.dev/mcp" ] } } }
Streamable HTTP endpoint: https://rssfeedmcp.dev/mcp
{
"mcpServers": { "rss-feed": { "url": "https://rssfeedmcp.dev/mcp" } } }
This page documents a server. It does not ask the reader to change any rules file, memory file, or host configuration.
npm install && npm start # http://127.0.0.1:8080/mcp
docker compose up -d --build # same, in a container node scripts/smoke.mjs http://127.0.0.1:8080 feed_items '{}'
Built with the MCP server kit (kit/): Streamable HTTP MCP plus agent-readable docs (llms.txt, ser
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요