Context7
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제작자가 쓴 설명(영어 원문)
Query Google News RSS feeds and search interest over time via Google Trends.
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.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"trendpulse": {
"command": "uvx",
"args": [
"mcp-trendpulse"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add trendpulse -- uvx mcp-trendpulse프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"trendpulse": {
"command": "uvx",
"args": [
"mcp-trendpulse"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"trendpulse": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-trendpulse"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 AKzar1el 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.46)은 12일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
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
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
TrendPulse is a Python Model Context Protocol (MCP) server for researching current news and search-interest trends. It combines Google News discovery and article extraction with Google Trends analysis so MCP clients can inspect what is trending, compare keyword momentum, explore related demand, and add current-news context to research workflows.
The project currently ships as a community/self-hosted MCP server and also contains the implementation for a separate hosted TrendPulse by DigestSEO surface for remote MCP clients such as ChatGPT and Codex. The hosted layer uses a smaller, goal-oriented tool surface while the community server keeps the full low-level research toolkit available to developers.
Project status: the local/community server is usable today. The DigestSEO-hosted MCP and public OpenAI plugin are not released yet and should not be treated as available endpoints.
Engineering context: TrendPulse is part of the DigestSEO MCP ecosystem. It complements mcp-gsc for Google Search Console data, mcp-geo for AI visibility, and mcp-web-validator for technical web validation. The broader architecture is documented in the DigestSEO MCP Suite engineering case study.
Need a fast evidence check before choosing a topic, keyword, market, product angle, or content bet? Tomi offers a human-produced TrendPulse Demand Brief for EUR 49.
For one decision, the brief covers up to five keywords/phrases and two geographic markets using TrendPulse's open-source research capabilities plus current public sources: search-interest direction, relative momentum, related demand, useful news context, and three concrete implications. Target turnaround is within 24 hours after payment is confirmed and the inputs are supplied.
See the exact scope and request format, read a public sample brief, or email info@tomiseregi.si%3A%0AMarkets%20(up%20to%202)%3A%0AContext%20%2F%20deadline%3A) with the subject TrendPulse Demand Brief [TP-RS1].
The paid brief is optional. The Community MCP remains free and unchanged, and the TP-RS1 marker is only an inbound attribution marker; no hidden telemetry is added to the MCP.
TrendPulse is being developed with two deliberate surfaces:
| Surface | Purpose | Status |
|---|---|---|
| Community MCP | Full Python MCP server for local use, development, self-hosting, and integrations with MCP-compatible clients. | Available in this repository |
| TrendPulse by DigestSEO | Managed remote MCP for ChatGPT/Codex and a future public OpenAI plugin with a smaller, task-oriented tool surface. | In development |
The community server remains useful independently. The hosted edition will reuse the same core trend-research concepts while adding the deployment, reliability, authentication, observability, and product integration needed for a managed service.
The implemented hosted tool surface is intentionally higher level than the community API and centers on goals such as:
discover_trendsanalyze_keyword_trendcompare_keyword_trendsdiscover_related_demandget_trend_contextfind_seo_opportunitiesThese names describe the hosted ChatGPT Apps/MCP interface; they remain separate from the current Community MCP tool names.
uvx (recommended)TrendPulse is published on PyPI, so the shortest install path is:
uvx mcp-trendpulse
Python 3.11 or newer is required. Python 3.10 reached end-of-life in October 2026 and cannot use Pillow 13, which patches upstream image-decoder vulnerabilities. To run TrendPulse on a machine with Python 3.10 as its default, select a supported interpreter explicitly:
uvx --python 3.11 mcp-trendpulse
See the security policy for the supported-runtime decision. Users on Python 3.10 must upgrade their interpreter; the new package will not install into a Python 3.10-only environment.
To run the current repository head instead of the published package:
uvx --from git+https://github.com/AKzar1el/mcp-trendpulse.git mcp-trendpulse
git clone https://github.com/AKzar1el/mcp-trendpulse.git
cd mcp-trendpulse python -m pip install . python -m mcp_trendpulse
Article downloads use bounded HTTP(S) requests pinned to a validated public IP, while retaining the original hostname for the HTTP Host header and HTTPS certificate verification. System proxies are disabled for this path. The Playwright article fallback is currently disabled because browser URL interception alone cannot guarantee connection-level protection against DNS rebinding; JavaScript-only or challenge-protected articles may therefore return no content. Other Google Trends/News discovery operations are unaffected.
The optional Python playwright package does not install Chromium automatically. For separate browser-supported workflows, install Chromium as follows:
For local use:
playwright install chromium
For Linux environments that also require browser system dependencies:
playwright install --with-deps chromium
Trend-only operations do not inherently require Chromium.
Claude Code plugin packaging is included in .claude-plugin/plugin.json with its MCP definition in .mcp.json. The Community MCP remains local/stdin-based and runs through uvx mcp-trendpulse.
Using the published PyPI package with uvx:
{
"mcpServers": { "mcp-trendpulse": { "command": "uvx", "args": ["mcp-trendpulse"] } } }
Requires uv/uvx. The install runs the published Community MCP package from PyPI over local stdio.
For workspace-level configuration, put this in .vscode/mcp.json. The same top-level servers shape is used by the VS Code user-profile mcp.json for a global configuration.
{
"servers": { "mcp-trendpulse": { "command": "uvx", "args": ["mcp-trendpulse"] } } }
Codex CLI and the Codex IDE extension share MCP configuration and support local stdio servers. Register the published TrendPulse Community MCP package with:
codex mcp add mcp-trendpulse -- uvx mcp-trendpulse
This makes TrendPulse available to Codex CLI and its IDE extension; it does not automatically install the server in ChatGPT desktop or web. See OpenAI's Codex MCP guidance for the shared Codex configuration model.
ChatGPT uses a separate plugin connection workflow; it does not import the local Codex MCP registration above. Where permitted by your account and workspace, use Plugins -> Add custom MCP server with a reachable HTTPS Streamable HTTP endpoint, or an available Secure MCP Tunnel for a private server. See OpenAI's connection instructions for current requirements and access controls.
Local stdio execution through a *desktop-only ChatGPT plugin* is a distinct, partner-allowlisted submission route, not a general Settings -> MCP Servers command-entry option. See OpenAI's desktop-only plugin policy.
TrendPulse's managed HTTPS endpoint and public ChatGPT plugin are not released. The current published Community MCP runs locally via uvx mcp-trendpulse in supported stdio clients; the Codex command alone does not connect it to ChatGPT.
This repository includes an Agent Plugins 1.0 manifest at the repository root. Compatible clients such as Cursor and GitHub Copilot can load the same portable plugin.json + mcp.json package.
Cursor also supports global and project MCP configuration. Add the server to the relevant mcp.json configuration:
{
"mcpServers": { "mcp-trendpulse": { "command": "uvx", "args": ["mcp-trendpulse"] } } }
Devin CLI plugins can load Claude plugin packages and Agent Plugins 1.0 packages directly from GitHub. TrendPulse already ships both compatible layouts (.claude-plugin/plugin.json + .mcp.json, and root plugin.json + mcp.json). Install it with:
devin plugins install AKzar1el/mcp-trendpulse
Devin requires a signed-in CLI session to manage plugins. The installed TrendPulse plugin starts the published Community MCP locally over stdio with uvx mcp-trendpulse; it does not use the unreleased hosted TrendPulse endpoint. The same plugin is available in Devin Desktop after installation.
Requires uv/uvx. The install runs the published Community MCP package from PyPI; it does not use the unreleased hosted surface.
Privacy: TrendPulse Community MCP Privacy Notice · Support: info@tomiseregi.si
Requires uv/uvx. LM Studio runs the published Community MCP package locally over stdio; no hosted TrendPulse service
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