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hcp_mcp_server

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Overview

Provides a natural language interface to the HashiCorp Cloud Platform (HCP) by implementing the Model Context Protocol (MCP) for LLM interaction, allowing management of cloud resources.

Installation

Run Command
python main.py

Environment Variables

  • HCP_CLIENT_ID
  • HCP_CLIENT_SECRET
  • MCP_LOG_FILE
  • HCP_API_LOGGING_ENABLED
  • HCP_API_LOG_FILE

Security Notes

Credentials (HCP_CLIENT_ID, HCP_CLIENT_SECRET) are correctly loaded from environment variables. The server operates as a stdio-based transport, not directly exposing network ports, which reduces its attack surface. API calls are authenticated using bearer tokens. However, a significant security consideration is the potential for sensitive data logging: if 'HCP_API_LOGGING_ENABLED' is set to 'true', detailed API responses (which may contain sensitive data such as secrets or user emails) are written to local log files. Additionally, the 'main.py' logs all incoming MCP requests and outgoing responses, including tool arguments and results, which could also contain sensitive information. Proper securing of log files is critical to prevent data leakage. The `update_service_principal` function is explicitly marked as unimplemented, preventing potential issues with an unbaked feature.

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Stats

Interest Score0
Security Score7
Cost ClassMedium
Avg Tokens750
Stars0
Forks0
Last Update2025-12-24

Tags

HCPMCPLLM ToolingCloud ManagementPython