qcc-mcp-legal-oauth
Run the following command in DeepSeek Harness:
dsh plugin install duhu2000/qcc-mcp-legal-oauth
Paste the following prompt into your AI chat to install this plugin:
Please run the command dsh plugin install duhu2000/qcc-mcp-legal-oauth in DeepSeek Harness, or visit the source code at https://github.com/duhu2000/qcc-mcp-legal-oauth to install.
About this plugin
Accessing authoritative legal regulations and case studies often involves a complex API integration process for legal research and corporate due diligence. The Qichacha Legal Data MCP Plugin addresses this pain point by enabling one-click OAuth authorization, allowing developers and users to seamlessly access the Qichacha legal database within DeepSeek Harness without the hassle of manual key management. It strictly follows the OAuth 2.0 and PKCE standards, utilizing dynamic registration and loopback callbacks to automate the entire authorization and token retrieval workflow.
The plugin's core strengths lie in its security and intelligence. Beyond supporting core features like regulation search and case tracing, it features an automatic token refresh mechanism to ensure uninterrupted long-term connectivity. Tokens are securely stored in a local directory with 0700 permissions, preventing sensitive information leaks while allowing automatic connection recovery after system restarts. Furthermore, it coexists harmoniously with other data plugins, significantly enhancing data acquisition flexibility.
Whether you are a legal tech professional, an in-house counsel, or a researcher conducting compliance studies, this plugin is an ideal solution. It lowers the technical barrier to accessing legal data, allowing you to focus on analysis and decision-making rather than complex operational configuration.
Screenshots
Use Cases
- Corporate counsel quickly retrieves regulations and cases
- Legal researchers conduct compliance analysis
- Developers integrate authoritative legal data interfaces
Best For
- Corporate Counsel
- Legal Tech Professionals
- Legal Data Developers
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