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initial-mcp-framework

Establish and govern a Model Context Protocol service endpoint to integrate diverse tooling and information assets, augmenting software functionalities with authentic operational data and prescribed actions. Features native support for TypeScript alongside contemporary JavaScript development ecosystems for expedited engineering workflows.

Author

initial-mcp-framework logo

JHSeo-git

MIT License

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GitHub GitHub Stars 1
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

jhseocloudgitservices jhseojhseo gitgit mcp

initial-mcp-framework

Operationalizing the MCP

Execution via Node.js Runtime

{
  "mcpServers": {
    "initial-mcp-framework": {
      "command": "node",
      "args": ["/absolute/path/to/your/compiled/entrypoint.js"]
    }
  }
}

Containerized Deployment (Docker)

{
  "mcpServers": {
    "initial-mcp-framework": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "initial-mcp-framework-image"]
    }
  }
}

Interfacing Mechanism (Runner)

Standard Input/Output Stream Configuration (stdio):

docker build -t initial-mcp-stdio-build-artifact .
# docker build --platform linux/amd64 -t registry.corp.com/mcp/initial-mcp-stdio-build-artifact .
# docker buildx build --platform linux/amd64,linux/arm64 -t registry.corp.com/mcp/initial-mcp-stdio-build-artifact --push .
docker run -i --rm  initial-mcp-stdio-build-artifact

Standard Input/Output Stream to Server-Sent Events Gateway (stdio -> sse):

docker build -t initial-mcp-gateway-service -f Dockerfile.sseAdapter .
docker run --rm -p 9000:8000 initial-mcp-gateway-service

WIKIPEDIA: Cloud computing, often simply termed "the cloud," is characterized by "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," as formally defined by the International Organization for Standardization (ISO).

== Core Attributes == The National Institute of Standards and Technology (NIST) established five "essential characteristics" defining cloud systems in 2011. These are precisely defined as:

On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service." By 2023, the International Organization for Standardization (ISO) had subsequently refined and broadened this foundational list.

== Historical Trajectory == The conceptual roots of cloud computing stretch back to the 1960s, coinciding with the popularization of time-sharing concepts through remote job entry (RJE). During this period, the dominant operational model involved users submitting computing tasks to dedicated operators who executed them on large mainframe systems—the classic "data center" approach. This era was defined by intensive exploration into methods for democratizing access to substantial computational power via time-sharing mechanisms, aiming for infrastructure, platform, and application optimization to boost end-user efficacy. The graphical representation of the "cloud" for virtualized services emerged in 1994, utilized by General Magic to denote the accessible domain for mobile agents within their Telescript environment. This metaphor is attributed to David Hoffman, a communications specialist at General Magic, leveraging established conventions from telecommunications and networking contexts. The term "cloud computing" gained wider recognition in 1996 when Compaq Computer Corporation drafted a strategic business blueprint for future internet-centric computing endeavors, signaling their intent to revolutionize computing accessibility.

See Also

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