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  • 1
    Firefly MCP

    Firefly MCP

    Firefly MCP

    The Firefly MCP Server is a TypeScript-based implementation of the Model Context Protocol (MCP) that integrates seamlessly with the Firefly platform. It enables users to discover, manage, and codify resources across their cloud and SaaS accounts connected to Firefly. ​
    Downloads: 0 This Week
    Last Update:
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  • 2
    MCP Atlassian

    MCP Atlassian

    MCP server that integrates Confluence and Jira

    The MCP Atlassian server integrates Atlassian products like Confluence and Jira with the Model Context Protocol. It supports both Cloud and Server/Data Center deployments, enabling AI models to interact with these platforms securely. ​
    Downloads: 5 This Week
    Last Update:
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  • 3
    MCP Server (Rad Security)

    MCP Server (Rad Security)

    Rad Security MCP Server

    The RAD Security MCP Server is an MCP server that provides AI-powered security insights for Kubernetes and cloud environments. It integrates with the RAD Security platform to enhance security analysis and monitoring. ​
    Downloads: 0 This Week
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  • 4
    Solon

    Solon

    Java enterprise application development framework

    ...It advertises large concurrency gains, lower memory use, much faster startup, and dramatically smaller packages while remaining compatible from Java 8 through Java 24. The framework focuses on restrained APIs and an open ecosystem, with modules that cover web, data, cloud, and microservice patterns. Its messaging emphasizes “replaceable Spring” ergonomics—keeping developer familiarity while reducing overhead and improving deployment characteristics. Releases and companion repositories present an active community and production-oriented guidance. The broader Solon org also maintains AI/agent extensions (e.g., MCP components) that complement application development.
    Downloads: 1 This Week
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • 5
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    ...Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. This approach bridges the gap between local AI agents and remote high-performance compute environments, allowing users to offload heavy workloads such as machine learning training, data analysis, and dependency-heavy tasks to Colab’s GPU and TPU resources. By exposing Colab as an MCP server, the tool enables seamless integration with a wide range of AI assistants and agent frameworks, creating a standardized interface for tool use and execution.
    Downloads: 0 This Week
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  • 6
    MetaMCP

    MetaMCP

    MCP Aggregator, Orchestrator, Middleware, Gateway in one docker

    ...It ships Dockerized for quick deployment and emphasizes dynamic aggregation so teams can register or remove servers without restarting clients. The org maintains related repos and a GUI app for cloud and self-hosted setups, with a note that the cloud demo is outdated while the open-source v2 evolves. Overall, MetaMCP aims to simplify multi-server MCP operations for individuals and organizations.
    Downloads: 0 This Week
    Last Update:
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  • 7
    Azure CLI MCP

    Azure CLI MCP

    Talk with Azure using MCP

    An MCP server that enables AI assistants to interact with Microsoft Azure via the Azure CLI, allowing tasks such as listing resources, checking configurations, fixing issues, and creating new resources through conversational commands. ​
    Downloads: 0 This Week
    Last Update:
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  • 8
    Box MCP Server

    Box MCP Server

    A Box model context protocol server to search, read and access files

    Box MCP Server is a Model Context Protocol (MCP) server designed to facilitate searching, reading, and accessing files stored on the Box cloud storage platform. It enables seamless integration with Box, allowing for efficient file management and retrieval through MCP-compatible clients. ​
    Downloads: 0 This Week
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  • 9
    Firecrawl MCP Server

    Firecrawl MCP Server

    Adds powerful web scraping and search to Cursor and Claude

    firecrawl-mcp-server is the official MCP integration for Firecrawl that brings high-recall web scraping, crawling, and search into IDEs and agent runtimes. It exposes tools for single-page scrape, multi-URL batch jobs, site discovery, and search enrichment, returning cleaned, structured content suitable for downstream LLM reasoning. The server is designed to run with Firecrawl’s hosted API or self-hosted deployments, making it flexible for enterprise data-governance requirements. Built-in...
    Downloads: 4 This Week
    Last Update:
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    Full-stack observability with actually useful AI | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

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  • 10
    AWS MCP Servers

    AWS MCP Servers

    Helping you get the most out of AWS, wherever you use MCP

    AWS MCP Servers are a collection of remotely hosted, fully-managed Model Context Protocol (MCP) servers by AWS, providing AI applications with real-time access to AWS documentation, API references, best practices, and infrastructure-management capabilities via natural-language workflows. An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that...
    Downloads: 4 This Week
    Last Update:
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  • 11
    Deep Research

    Deep Research

    Use any LLMs (Large Language Models) for Deep Research

    Deep Research is a local-first research agent that orchestrates multiple LLMs to generate in-depth reports in minutes. It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. A simple web UI lets you enter topics and configure models, while the backend streams progress as...
    Downloads: 1 This Week
    Last Update:
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