Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Query Google News RSS feeds and search interest over time via Google Trends.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"trendpulse": {
"command": "uvx",
"args": [
"mcp-trendpulse"
]
}
}
}Run this in your terminal
claude mcp add trendpulse -- uvx mcp-trendpulsePaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"trendpulse": {
"command": "uvx",
"args": [
"mcp-trendpulse"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"trendpulse": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-trendpulse"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
The registry name was verified with the GitHub account AKzar1el, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.46) reached the registry 13 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
Only the beginning is shown; read the rest in the repo