API Interface Orchestrator

Executive Summary

• This package deploys the 'Model Context Protocol Server' (MCP), which exposes configured access points to various RESTful interfaces for consumption by AI models.
• Its core utility is enabling intelligent agents to issue commands against configured APIs—specifically executing REST interactions via simple prompts.
• Current supported remote procedure calls encompass the fundamental HTTP methods: GET, PUT, POST, and PATCH.

Deployment Procedure

• Install the necessary package via pip: bash pip install openapi_mcp_server
• In your working directory, furnish a .env file specifying mandatory parameters: OPENAPI_SPEC_PATH (schema location) and API_BASE_URL (root endpoint). A template configuration is accessible here.
• Initiate the service instance using the execution command from the configuration directory: bash uv run openapi_mcp_server

Claud Desktop Integration

• Parameters required for Claud Desktop configuration: json { "mcpServers": { "openapi_mcp_server":{ "command": "uv", "args": ["run","openapi_mcp_server"] "env": { "DEBUG":"1", "API_BASE_URL":"https://petstore.swagger.io/v2", "OPENAPI_SPEC_PATH":"https://petstore.swagger.io/v2/swagger.json", "API_HEADERS":"Accept:application/json", "API_WHITE_LIST":"addPet,updatePet,findPetsByStatus" } } } }

Configuration Variables

• A comprehensive list of tunable environment settings:
• DEBUG: Activates verbose logging (defaults to False).
• OPENAPI_SPEC_PATH: Pointer to the API's OpenAPI/Swagger definition document. (Mandatory)
• API_BASE_URL: The root Uniform Resource Locator for all outgoing API requests. (Mandatory)
• API_HEADERS: Custom HTTP headers to be included in every request (e.g., authorization tokens).
• API_WHITE_LIST: A comma-separated list of specific operation identifiers permitted for execution.
• API_BLACK_LIST: A comma-separated list of specific operation identifiers explicitly forbidden.
• HTTP_PROXY: Configuration details for an intermediary HTTP proxy server.
• HTTPS_PROXY: Configuration details for an intermediary secure HTTPS proxy server.
• NO_PROXY: List of hostnames or domains excluded from proxy routing.

Collaboration Guidelines

We welcome external contributions. Kindly submit proposed modifications via a Pull Request.

Licensing Details

This software is distributed under the terms outlined in the MIT License.

Repository Popularity

Supplementary Information

UV Toolchain

mkdir -m777 openapi_mcp_server
cd openapi_mcp_server
uv init
uv add mcp[cli] pydantic python-dotenv requests
uv add --dev twine setuptools
uv sync
uv run openapi_mcp_server
uv build
pip install --force-reinstall --no-deps .\dist\openapi_mcp_server-*fileversion*.whl
export TWINE_USERNAME="rahgadda"
export TWINE_USERNAME="<<API Key>>"
uv run twine upload --verbose dist/*

Related Concepts

- UV Overview

WIKIPEDIA DIGRESSION: CLOUD COMPUTING

Cloud computing is defined by ISO as "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." Colloquially, this is often referred to simply as "the cloud."

== Defining Attributes == In 2011, the US National Institute of Standards and Technology (NIST) delineated five indispensable characteristics for systems classified as cloud infrastructure. The precise definitions from NIST are:

1. On-demand self-service: A client entity must be capable of unilaterally procuring computing capacity (e.g., server runtime, networked storage) as required, automatically, without requiring direct staff intervention from the service provider.
2. Broad network access: Essential capabilities must be accessible across a network using established, standardized methods that accommodate a diverse array of client platforms (e.g., smartphones, tablets, laptops, desktop workstations).
3. Resource pooling: The provider aggregates its computational assets to serve multiple consumers via a shared tenancy architecture, where underlying physical and virtual components are dynamically allocated and reallocated based on current user demand.
4. Rapid elasticity: Resources must be provisionable and de-provisionable with agility, sometimes autonomously, allowing scaling to surge or contract rapidly in alignment with fluctuating load. From the consumer’s perspective, available capacity often seems limitless and instantly obtainable.
5. Measured service: Cloud environments automatically monitor and optimize resource consumption using an integrated metering system appropriate to the service stratum (e.g., processing power, storage volume, data transfer rates, active user counts). Usage metrics are trackable, controllable, and reportable, ensuring complete visibility for both the provider and the consuming entity.

By 2023, the International Organization for Standardization (ISO) had revised and augmented this foundational taxonomy.

== Historical Context ==

The genesis of cloud computing can be traced back to the 1960s, correlating with the popularization of time-sharing concepts through Remote Job Entry (RJE). During this period, the prevailing operational model centered around the "data center," where users submitted batch jobs to specialized operators managing mainframe systems. This era was characterized by intensive research and trial-and-error focused on democratizing access to substantial computational resources via time-slicing, optimizing underlying infrastructure, platforms, and applications, thereby boosting end-user efficacy.

The visual metaphor of the "cloud" representing virtualized utilities originated in 1994, employed by General Magic to delineate the domain accessible by mobile agents within its Telescript framework. This visual convention is generally attributed to David Hoffman, a communication specialist at General Magic, deriving from its established usage within telecommunications and network diagrams. The term "cloud computing" achieved broader recognition in 1996 following the creation of a strategic business blueprint for future internet-centric computation by Compaq Computer Corporation. The company aimed to significantly expand...