claude-context-adapter
A utility designed to bridge Claude Desktop capabilities with external services via the Model Context Protocol (MCP), facilitating custom functionality expansion and integrated workflow execution.
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hongsw
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🛠️ Claude Context Adapter (CCA)
"Facilitator for Integrating External Utilities with Claude Desktop via MCP"
한국어로 된 버전 문서는 다음 경로에서 확인하실 수 있습니다. 한국어 설명서
Access the English documentation at this location: English Documentation
🌟 Abstract
CCA serves as an essential middleware component, enabling Claude Desktop environments to leverage the Model Context Protocol (MCP) for invoking external application logic. It streamlines the configuration overhead and establishes a robust connection pathway between the AI client and user-defined functionalities.
Greetings! (English) 환영합니다! (Korean)
⚙️ Core Capabilities
- Simplified Deployment: Single command operation for initializing Claude Desktop's MCP connectivity.
- Multi-Role Operation: Can operate as a configuration guide, a persistent MCP endpoint service, or a command-line utility.
- Prepackaged Functionality: Includes immediately usable demonstrations such as electronic mail dispatch and rudimentary computational tasks.
- Adaptability: Designed for straightforward extension with proprietary external interfaces.
- Linguistic Support: Offers operational guidance and output in both English and Korean.
📋 Prerequisites
- Node.js version 14 or newer Acquire Here
- Operational Claude Desktop installation (Download Link)
- Active internet access (required specifically for the electronic mail transmission feature, utilizing GARAK API infrastructure).
🚀 Initiating Use
You bypass the formal installation step by executing CCA directly via npx:
bash npx hello-mcp
This invocation launches the guided configuration sequence, walking the operator through every necessary setup step.
🎮 Operation Modalities
CCA supports three distinct operational paradigms:
1️⃣ Configuration Wizard (Default)
bash npx hello-mcp
Alternative explicit invocation
npx hello-mcp setup
This interactive sequence performs the following: - Verifies the presence of Claude Desktop. - Collects requisite user data (e.g., communication address, intended application scope). - Fabricates a unique authorization token (API key). - Modifies Claude Desktop's settings to recognize the MCP service. - Attempts an automated relaunch of the Claude application (where system permissions allow).
2️⃣ MCP Endpoint Service
bash npx hello-mcp mcp-server
This command establishes CCA as a continuously running MCP server instance, ready for connections from Claude Desktop. This server furnishes the operational functions the AI model is permitted to invoke.
🔑 Authorization Tokens
The generated credential (API key) is persisted locally within the ~/.garakrc file. It is subject to a daily cap of 50 requests. This token is automatically registered for use within the Claude Desktop configuration.
📡 Usage Telemetry
CCA utilizes passive collection of non-identifiable operational metrics to facilitate service refinement: - Performance data and user interaction patterns are logged. - All transmitted information is stripped of personal identifiers. - Telemetry data transmission can be deactivated via configuration parameters.
💡 Practical Claude Prompts
Following a successful configuration, experiment with these inputs in Claude: 1. "Calculate the sum of one and one." 2. "Dispatch an email to [recipient@example.com] containing the result derived from the 'one plus one' operation."
📞 Assistance Channels
Should you encounter operational difficulties, please direct inquiries to help@garak.ai
📖 Reference Materials
Comprehensive examples and advanced usage tutorials are available in the introductory guide: Getting Started Reference
Interactive documentation can be accessed locally:
- Local Hosting: npx docsify-cli serve docs
- Browser Access: http://localhost:3000
🚧 Future Development Items
- Should you discover any irregularities or propose enhancements, please file a detailed report, including reproduction steps, on the designated issue tracker (e.g., GitHub Issues): https://github.com/hongsw/hello-mcp/issues
- Support for the Windows operating system is currently undergoing validation testing.
📄 Licensing
This software is distributed under the terms of the MIT License; refer to the LICENSE file for specifics.
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