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fitmeet-dsh-plugin preview

fitmeet-dsh-plugin

admin-security Updated 2026.09.14

Run the following command in DeepSeek Harness:

dsh plugin install liudejua27-blip/fitmeet-dsh-plugin

Paste the following prompt into your AI chat to install this plugin:

Install it in DeepSeek Harness by running dsh plugin install liudejua27-blip/fitmeet-dsh-plugin; the full source is available at https://github.com/liudejua27-blip/fitmeet-dsh-plugin

About this plugin

Finding a sports partner, a teammate with the right skill, or people who share a niche interest usually means posting to a forum, scrolling through profiles, and sending cold messages one by one. The FitMeet plugin folds that entire loop describing a need, discovering people, reviewing candidates, and making contact into a single conversation with your Agent, removing the need to switch back and forth between web tabs.

Once connected, the Agent searches the public directory of people, needs, and capabilities on FitMeet and presents the evidence so you can decide whether to reach out. You can also publish a confirmed need or capability listing and receive a shareable link, then follow up on conversations, check upcoming gatherings, and handle reminders all within the same chat. The toolset is built on MCP 2.2 with 17 operations across six permission scopes. Every action can run under manual confirmation or under an explicit automatic authorization, and published content supports preview, confirmation, and replay, with permissions revocable at any time.

It is aimed at DeepSeek Harness users who want their Agent to handle the everyday social logistics: finding a badminton partner in your city, putting up a listing for a skill you can offer, or keeping track of a small interest-based group. You stay in the chat window; the plugin takes care of the FitMeet side.

Screenshots

Use Cases

  • Find a badminton partner in your city for the weekend
  • Publish a skill or need listing and get a shareable link
  • Check FitMeet group gatherings and personal reminders

Best For

  • DeepSeek Harness users who want agent-driven social matching
  • People looking for activity partners or skill collaborators
  • Harness users who prefer conversation-based workflows over tab switching