MCP Servers for Serverless

Serverless is a cloud computing execution model where the cloud provider dynamically manages the allocation and provisioning of servers. It allows developers to build and run applications without thinking about servers, focusing on writing code while the infrastructure is automatically managed.

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  • Why this server?

    Deploys HTML content to EdgeOne Pages Functions, a serverless computing platform, generating publicly accessible URLs for the deployed content.

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    A service that enables rapid deployment of HTML content to EdgeOne Pages and automatically generates publicly accessible URLs for the deployed content.
    1
    1,369
    26
    MIT License
  • Why this server?

    Provides specialized architectural expertise for Serverless Architecture as one of the supported architecture domains

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    Facilitates comprehensive architectural design and evaluation through specialized agents, rich resources, and powerful tools covering diverse architectural domains, including cloud, AI, and blockchain.
    3
    943
    15
    TypeScript
    ISC License
  • Why this server?

    Supports deployment using the Serverless Framework for deploying the MCP server to AWS Lambda.

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    An integration server that allows AI models to query Practera's GraphQL API for learning data, enabling LLMs to analyze and manipulate educational projects and assessments.
    TypeScript
    MIT License
  • Why this server?

    Compatible with Smithery's serverless deployment model, allowing the MCP server to be deployed and managed in a serverless environment.

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    A Model Context Protocol server that enables Claude AI to interact with Xano databases, providing comprehensive database operations, file management, and request history tracking through a standardized interface.
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables serverless RAG capabilities using Sionic AI's Storm Platform for connecting embedding models and vector databases.

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    An open protocol server that implements Anthropic's Model Context Protocol to enable seamless integration between LLM applications and RAG data sources using Sionic AI's Storm Platform.
    27
    Python
    • Apple