From f2eb73ec555d6851f5402274a67ae8409ba2e51b Mon Sep 17 00:00:00 2001
From: CKBrennan <69460288+CKBrennan@users.noreply.github.com>
Date: Sun, 10 May 2026 14:53:30 +0200
Subject: [PATCH] Update README.md

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a58a33b32..9dec3fc91 100644
--- a/README.md
+++ b/README.md
@@ -2047,7 +2047,8 @@ Tools for conducting research, surveys, interviews, and data collection.
 - [OctagonAI/octagon-deep-research-mcp](https://github.com/OctagonAI/octagon-deep-research-mcp) 🎖️ 📇 ☁️ 🏠 - Lightning-Fast, High-Accuracy Deep Research Agent
 - [olostep/olostep-mcp-server](https://github.com/olostep/olostep-mcp-server) 📇 ☁️ - API to search, extract and structure web data. Web scraping, AI-powered answers with citations, batch processing (10k URLs), and autonomous site crawling.
 - [omniologynow-rgb/scout-intel-mcp](https://github.com/omniologynow-rgb/scout-intel-mcp) [![scout-intel-mcp MCP server](https://glama.ai/mcp/servers/omniologynow-rgb/scout-intel-mcp/badges/score.svg)](https://glama.ai/mcp/servers/omniologynow-rgb/scout-intel-mcp) 🐍 ☁️ - Web intelligence MCP server for AI agents. 7 tools for SERP analysis, competitor research, market trends, content gap analysis, keyword insights, audience discovery, and citation tracking. Install via `pip install scout-intel-mcp`.
-- [opendatalab/MinerU-Ecosystem](https://github.com/opendatalab/MinerU-Ecosystem/tree/main/mcp) [![opendatalab/MinerU-Ecosystem MCP server](https://glama.ai/mcp/servers/opendatalab/MinerU-Ecosystem/badges/score.svg)](https://glama.ai/mcp/servers/opendatalab/MinerU-Ecosystem) 🎖️ 🐍 🏠 ☁️ - Official MinerU document parsing MCP ([mineru-open-mcp](https://pypi.org/project/mineru-open-mcp/) on PyPI). Converts PDFs, doc/docx/ppt/pptx, images, and spreadsheets to Markdown via the [MinerU](https://mineru.net) API; free Flash mode without an API key (about 20 pages per file); optional `MINERU_API_TOKEN` for higher limits. 
+- [opendatalab/MinerU-Ecosystem](https://github.com/opendatalab/MinerU-Ecosystem/tree/main/mcp) [![opendatalab/MinerU-Ecosystem MCP server](https://glama.ai/mcp/servers/opendatalab/MinerU-Ecosystem/badges/score.svg)](https://glama.ai/mcp/servers/opendatalab/MinerU-Ecosystem) 🎖️ 🐍 🏠 ☁️ - Official MinerU document parsing MCP ([mineru-open-mcp](https://pypi.org/project/mineru-open-mcp/) on PyPI). Converts PDFs, doc/docx/ppt/pptx, images, and spreadsheets to Markdown via the [MinerU](https://mineru.net) API; free Flash mode without an API key (about 20 pages per file); optional `MINERU_API_TOKEN` for higher limits.
+- [overtone-news-mcp](https://github.com/CKBrennan/overtone-news-mcp) - Real-time news with tone analysis, brand safety, and narrative shift signals for AI agents. Listed on [Glama](https://glama.ai/mcp/servers/@CKBrennan/overtone-news-mcp) and [MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.CKBrennan/overtone-news-mcp).
 - [NameetP/pdfmux](https://github.com/NameetP/pdfmux) [![pdfmux MCP server](https://glama.ai/mcp/servers/NameetP/pdfmux/badges/score.svg)](https://glama.ai/mcp/servers/NameetP/pdfmux) 🐍 🏠 - PDF extraction router with built-in MCP server. Classifies each page (digital, scanned, tables) and routes to the best backend (PyMuPDF, Docling, OCR, or optional LLM fallback). Per-page confidence scoring flags low-quality pages and auto-reextracts them — prevents silent RAG failures. Zero config: `pip install pdfmux`. MIT licensed.
 - [parallel-web/search-mcp](https://github.com/parallel-web/search-mcp) ☁️ 🔎 - Highest Accuracy Web Search for AI
 - [FayAndXan/spectrawl](https://github.com/FayAndXan/spectrawl) [![spectrawl MCP server](https://glama.ai/mcp/servers/FayAndXan/spectrawl/badges/score.svg)](https://glama.ai/mcp/servers/FayAndXan/spectrawl) 📇 🏠 - Unified web layer for AI agents. Search (8 engines), stealth browse, cookie auth, and act on 24 platforms. 5,000 free searches/month via Gemini Grounded Search.