MCP Live Utility Adapter

This Python-based Model Context Protocol (MCP) Server dynamically fetches plugin specifications housed within SuperiorAPIs and automatically fabricates necessary MCP tool handlers based on their provided OpenAPI schemas.

It operates strictly via the standard input/output streams (stdio), rendering it perfectly suited for iterative local debugging sessions with companion AI agents.

For integration via web protocols like HTTP or Server-Sent Events (SSE), consult the remote counterpart: CTeaminfo/mcp_superiorapis_remote

📂 Directory Layout

mcp_utility_adapter_live/ ├── src/mcp_utility_adapter_live/ # Core application logic │ ├── init.py # Package initialization module │ └── server.py # The primary MCP server implementation file ├── tests/ # Unit and integration test suite ├── pyproject.toml # Project configuration and dependency manifest ├── uv.lock # Exact dependency versions lock file └── README.md # Comprehensive project documentation (this document)

🚀 Initial Setup Guide

1. Environment Prerequisites

Mandatory Requirements: - Python Interpreter version 3.13 or newer - A valid Superior APIs Access Credential (Token Acquisition Guide)

2. Source Code Acquisition

bash

Standard secure clone method

git clone https://github.com/CTeaminfo/mcp_utility_adapter_live.git

Or using SSH keys

git clone git@github.com:CTeaminfo/mcp_utility_adapter_live.git cd mcp_utility_adapter_live

3. Install the uv Dependency Manager (If absent)

bash

Unix-like systems

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows PowerShell

powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Alternatively, use pip

pip install uv

4. Dependency Resolution

bash

Establish an isolated Python virtual environment using Python 3.13

uv venv --python 3.13

Install all specified dependencies

uv sync

Or fallback to pip

pip install -e .

5. Credential Configuration

bash

Set the required authentication secret for Linux/macOS shells

export TOKEN=your_superior_apis_token_here

For Windows Command Prompt environment

set TOKEN=your_superior_apis_token_here

Authentication Notes: - Secure your required secret key from Superior APIs Portal. - Ensure the TOKEN environment variable is present prior to launching the server process.

6. Server Initiation

bash

python -m mcp_utility_adapter_live

Direct execution path

python src/mcp_utility_adapter_live/server.py

7. Validation of Operation

The server sequence upon execution includes: 1. Data Retrieval: Polling plugin manifest details from SuperiorAPIs. 2. Tool Synthesis: Real-time construction of MCP tool definitions. 3. Registration: Introducing the newly created tools to the MCP framework. 4. Activation: Commencing the standard I/O based MCP host.

🔌 Client Integration Patterns

Via uvx on PyPI

Set up the client configuration to invoke the published package directly (no local checkout needed):

{ "mcpServers": { "mcp_superiorapis_local": { "command": "uvx", "args": [ "mcp-superiorapis" // Reference to the package on PyPI ], "env": { "TOKEN": "your_superior_apis_token_here" } } } }

Local Source Execution Mode

Configuration for running directly from the cloned source directory:

{ "mcp_superiorapis_local": { "command": "uv", "args": [ "run", "--directory", "/path/to/mcp_utility_adapter_live", "python", "-m", "mcp_utility_adapter_live" ], "env": { "TOKEN": "your_superior_apis_token_here" } } }

🔧 Operational Checklist

cmd

1. Go to the root repository folder

cd mcp_utility_adapter_live

2. Activate the isolated environment (Windows example shown)

.venv\Scripts\activate

3. Set the necessary secret key

set TOKEN=your_superior_apis_token_here

4. Initiate the system

python -m mcp_utility_adapter_live

or

python src/mcp_utility_adapter_live/server.py

Key Operational Notes： - Initial dependency installation (uv sync or equivalent) is a one-time setup. - Following a system restart, only environment activation and token setting are required before execution. - The command prompt prefix will display (venv) upon successful environment activation.

🔗 Reference Resources

• Source for API Authentication Key
• Remote HTTP/SSE Interface - For non-stdio transport requirements
• MCP Specification - Official documentation for the protocol standard

MCPHub Validation Seal

This toolchain has received official endorsement from MCPHub.

Access the project listing on MCPHub here: 🔗 https://mcphub.com/mcp-servers/CTeaminfo/mcp-superiorapis

WIKIPEDIA SNAPSHOT: Cloud infrastructure is defined by ISO as "a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction," often simply termed "the cloud."

== Core Tenets == In 2011, the United States National Institute of Standards and Technology (NIST) formalized five "essential characteristics" defining viable cloud deployments. These are quoted directly from NIST standards:

On-demand provisioning: "A user can unilaterally procure computing capacity, such as processing cycles or disk space, automatically as required without needing direct human mediation from the service vendor." Ubiquitous access: "Functionality is accessible across the network utilizing standard communication protocols, encouraging utilization across diverse client devices, including handhelds, tablets, and desktops." Resource aggregation: "The supplier's infrastructure capacity is grouped to support multiple clients simultaneously using a multi-tenant architecture, with underlying hardware and software resources dynamically allocated based on subscriber needs." Scalability and Elasticity: "Capacities can be provisioned or de-provisioned swiftly, sometimes autonomously, to scale usage outward or contract inward immediately to match fluctuating demand. From the client's perspective, the available capacity often seems infinite and instantly accessible." Consumption metering: "Cloud environments automatically monitor and optimize resource consumption via metering mechanisms situated at an appropriate layer for the service type (e.g., bandwidth, CPU time, storage volume). Usage metrics are auditable and transparent to both the provider and the consumer." By 2023, the International Organization for Standardization (ISO) provided subsequent modifications and extensions to this defining list.

== Historical Context ==

The conceptual roots of utility computing trace back to the 1960s, marked by the rise of time-sharing systems via remote job entry (RJE). During this decade, the primary delivery mechanism involved users submitting batch jobs to dedicated operators running on large mainframe systems. This period was characterized by intense investigation into methods for democratizing access to significant computational power through shared time, optimizing underlying platforms, applications, and infrastructure to boost end-user throughput. The specific graphic representation of a "cloud" for abstracted services emerged in 1994, employed by General Magic to denote the accessible domain for mobile agents within their Telescript framework. This nomenclature is credited to David Hoffman, a communications strategist at General Magic, who drew inspiration from established conventions in telecommunications and network diagrams. The term 'cloud computing' gained widespread adoption in 1996 following internal documentation at Compaq Computer Corporation outlining strategic directions for future internet-based services. The corporation aimed to revolutionize superch