Add DropBin remote SSE MCP server (#243)
* Add DropBin remote SSE MCP server - Remote SSE MCP server for temporary content hosting and sharing - Enables file uploads and content management without authentication - Accessible at https://dropbin.org/mcp * Fix DropBin description - clarify it hosts HTML webpages for content sharing
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@ -224,6 +224,7 @@ A growing set of community-developed and maintained servers demonstrates various
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- **[Comet Opik](https://github.com/comet-ml/opik-mcp)** - MCP server to talk to your [Opik](https://github.com/comet-ml/opik) cloud or open-source instance to query and analyze LLM traces, metrics and observability.
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- **[Contentful](https://github.com/ivo-toby/contentful-mcp)** - Interact with your content on the Contentful platform
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- **[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.
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- **[DropBin](https://dropbin.org/mcp)** - Remote SSE MCP server for hosting HTML webpages and sharing content through temporary URLs without authentication
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- **[Database](https://github.com/TheRaLabs/legion-mcp)** (by Legion AI) - Universal database MCP server supporting multiple database types including PostgreSQL, Redshift, CockroachDB, MySQL, RDS MySQL, Microsoft SQL Server, BigQuery, Oracle DB, and SQLite
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- **[dbt-docs](https://github.com/mattijsdp/dbt-docs-mcp)** - MCP server for dbt-core (OSS) users as the official dbt MCP only supports dbt Cloud. Supports project metadata, model and column-level lineage and dbt documentation.
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- **[DeepView MCP](https://github.com/ai-1st/deepview-mcp)** - Enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's 1M context window.
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@ -276,7 +277,7 @@ A growing set of community-developed and maintained servers demonstrates various
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- **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)** - Golang-based Kubernetes MCP Server. Built to be extensible.
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- **[MCP Open Library](https://github.com/8enSmith/mcp-open-library)** - A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book and author information.
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- **[MCP-SearXNG-Enhanced Web Search](https://github.com/OvertliDS/mcp-searxng-enhanced)** - An enhanced MCP server for SearXNG web searching, utilizing a category-aware web-search, web-scraping, and includes a date/time retrieval tool.
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- **[Memory-Plus](https://github.com/Yuchen20/Memory-Plus)** a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.
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- **[Memory-Plus](https://github.com/Yuchen20/Memory-Plus)** a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.
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- **[Minima](https://github.com/dmayboroda/minima)** - Local RAG (on-premises) with MCP server.
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- **[Mongo](https://github.com/QuantGeekDev/mongo-mcp)** - A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases
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- **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB
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- **[Nerve](https://github.com/evilsocket/nerve)** is an open source command line tool designed to be a simple yet powerful platform for creating and executing MCP integrated LLM-based agents.
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- **[Shinkai](http://github.com/dcSpark/shinkai-apps/)** is a two click install AI manager (Local and Remote) that allows you to create AI agents in 5 minutes or less using a simple UI. Agents and tools are exposed as an MCP Server.
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## Frameworks
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- **[create-mcp-ts](https://github.com/stephencme/create-mcp-ts)** - Create a new MCP server in TypeScript, batteries included - supports user-defined templates!
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