mirror of
https://github.com/modelcontextprotocol/servers.git
synced 2026-02-19 11:54:58 -05:00
Merge pull request #2918 from thechandanbhagat/main
Added CV-Forge to the list
This commit is contained in:
@@ -686,6 +686,7 @@ A growing set of community-developed and maintained servers demonstrates various
|
||||
- **[CSV Editor](https://github.com/santoshray02/csv-editor)** - Comprehensive CSV processing with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files. Built with FastMCP & Pandas.
|
||||
- **[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.
|
||||
- **[CV Forge](https://github.com/thechandanbhagat/cv-forge)** - An intelligent MCP (Model Context Protocol) server that analyzes job postings and crafts perfectly-matched CVs (by [Chandan Bhagat](https://me.chandanbhagat.com.np)).
|
||||
- **[D365FO](https://github.com/mafzaal/d365fo-client)** - A comprehensive MCP server for Microsoft Dynamics 365 Finance & Operations (D365 F&O) that provides easy access to OData endpoints, metadata operations, label management, and AI assistant integration.
|
||||
- **[Dagster](https://github.com/dagster-io/dagster/tree/master/python_modules/libraries/dagster-dg-cli)** - An MCP server to easily build data pipelines using [Dagster](https://dagster.io/).
|
||||
- **[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).
|
||||
|
||||
Reference in New Issue
Block a user