xby-fund-knowledge-query
Run the following command in DeepSeek Harness:
dsh plugin install xby-skill/xby-fund-knowledge-query
Paste the following prompt into your AI chat to install this plugin:
Install the plugin in DeepSeek Harness by running the install command; the full source is available at https://github.com/xby-skill/xby-fund-knowledge-query.
About this plugin
In a typical DeepSeek Harness conversation, pulling up a fund NAV or checking a stock quote means leaving the chat, opening a browser, and hunting through several pages just to get an answer. xby-fund-knowledge-query folds that workflow back into the conversation itself: you ask a natural-language question, the plugin retrieves the relevant entries from a backend knowledge base over the Model Context Protocol, and hands the result straight back to you with zero context-switching.
Three tools carry the core functionality. fund.knowledge returns the catalog of your current knowledge base so you can see exactly which entries are available. fund.stock_search taps the East Money API to look up individual stock quotes and basic information by code or name. set_xby_apikey lets you configure your API key right in the chat; the key is persisted automatically, so it survives service restarts without any re-entry. Deployment is lightweight and protocol-flexible, keeping integration overhead to a minimum.
If you find yourself weaving finance questions into everyday chats, checking a fund value, looking up a live ticker price, or browsing which instruments your knowledge base covers, this plugin slots in as a handy companion. No ops expertise is required and there is no need to dig into MCP internals: register, grab your key, and start asking.
Use Cases
- Query fund knowledge base entries directly in chat
- Search real-time stock quotes via conversation
- Set and persist API keys within the chat window
Best For
- Users who weave finance queries into everyday conversations
- Individual investors needing quick fund and stock lookups
- Conversational AI users wanting lower friction in financial data access
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