From 122b6a98753aac71a2725cc87ab3e28a3f72cf5f Mon Sep 17 00:00:00 2001 From: Burak Gonuldas Date: Thu, 7 Aug 2025 21:10:49 +0100 Subject: [PATCH] Add MCP CVE Intelligence Server Lite to community servers list in README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index ab819a2088..40b71a6e6f 100644 --- a/README.md +++ b/README.md @@ -548,6 +548,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[crypto-sentiment-mcp](https://github.com/kukapay/crypto-sentiment-mcp)** - An MCP server that delivers cryptocurrency sentiment analysis to AI agents. - **[cryptopanic-mcp-server](https://github.com/kukapay/cryptopanic-mcp-server)** - Providing latest cryptocurrency news to AI agents, powered by CryptoPanic. - **[Cursor MCP Installer](https://github.com/matthewdcage/cursor-mcp-installer)** - A tool to easily install and configure other MCP servers within Cursor IDE, with support for npm packages, local directories, and Git repositories. +- **[CVE Intelligence Server](https://github.com/gnlds/mcp-cve-intelligence-server-lite)** – Provides vulnerability intelligence via multi-source CVE data, essential exploit discovery, and EPSS risk scoring through the MCP. Useful for security research, automation, and agent workflows. - **[Dappier](https://github.com/DappierAI/dappier-mcp)** - Connect LLMs to real-time, rights-cleared, proprietary data from trusted sources. Access specialized models for Real-Time Web Search, News, Sports, Financial Data, Crypto, and premium publisher content. Explore data models at [marketplace.dappier.com](https://marketplace.dappier.com/marketplace). - **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution! - **[Databricks](https://github.com/JordiNeil/mcp-databricks-server)** - Allows LLMs to run SQL queries, list and get details of jobs executions in a Databricks account.