TTokenySpace
返回 MCP 列表

Vynix MCP server. Give AI coding agents access to your visual feedback and bug reports.

0JavaScriptv0.1.4远程托管更新于 2026/7/28
GitHub
0

远程接入地址

https://mcp.vynix.in/mcp

介绍

Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.

README

Vynix MCP server

A Model Context Protocol server that gives AI coding agents (Claude, Copilot, Cursor and more) direct access to your Vynix annotations, so an agent can read the feedback, see the captured context and screenshots, run an AI diagnosis, generate a fix prompt, open a GitHub issue, update status, and comment, all without leaving the editor.

Every tool carries MCP annotations (read-only / idempotent / open-world hints) so a client can auto-approve safe reads and confirm before writes, AI spend, or GitHub calls.

Tools

Read-only:

ToolDescription
list_projectsList the projects you own.
list_annotationsList a project's annotations, filtered by status / type / priority.
get_annotationFetch one annotation with full page / element / DOM / diagnostics context.
list_commentsRead an annotation's discussion thread.
get_annotation_analysisRead the latest AI diagnosis (root causes, fix, likely files).
get_annotation_screenshotsReturn attached screenshots as viewable images.
list_annotation_issuesList the GitHub issues opened from an annotation (optionally live).
list_project_issuesList every tracker issue across a project, with a summary.
generate_promptProduce a ready-to-paste prompt (claude/copilot/cursor/gemini/codex/generic).
get_metricsKPI counts, status breakdown, time series, recent activity.
list_membersA project's team members.
get_activityA project's recent activity feed.

Writes (a client should confirm these):

ToolDescription
update_annotation_statusMove an annotation to in_progress, completed, etc.
add_commentPost a comment to an annotation's thread (notifies the team).
diagnose_annotationRun the AI Diagnosis Engine (uses an AI provider; stores the result).
create_github_issueFile a GitHub issue from an annotation.
create_share_linkMint a read-only public review link for a project.

Prompts

PromptDescription
fix_annotationA guided, step-by-step workflow that walks the agent from an annotation through context → screenshots → AI diagnosis → fix → status + comment.

Install

The server is published on npm. Most MCP clients (Cursor, VS Code, Claude Desktop and more) just need a command and a token, and npx fetches and runs it automatically with no global install. Requires Node.js 18+:

{
  "mcpServers": {
    "vynix": {
      "command": "npx",
      "args": ["-y", "@usevynix/mcp-server"],
      "env": {
        "VYNIX_API_URL": "https://www.vynix.in",
        "VYNIX_API_TOKEN": "PASTE_YOUR_TOKEN_HERE"
      }
    }
  }
}

Generate your token from the Vynix dashboard at https://www.vynix.in/mcp. Config file locations: Cursor ~/.cursor/mcp.json, VS Code .vscode/mcp.json, Claude Desktop claude_desktop_config.json. VS Code uses a top-level "servers" key instead of "mcpServers"; everything else is identical.

Configure

Authenticate with either a token (recommended) or email and password:

  • VYNIX_API_URL - your Vynix API base URL (default https://www.vynix.in).
  • VYNIX_API_TOKEN - a token generated at https://www.vynix.in/mcp, or
  • VYNIX_API_EMAIL + VYNIX_API_PASSWORD - the server logs in on demand and refreshes the token automatically when it expires.

Build from source

For contributors who want to run the server from a local checkout:

git clone https://github.com/UseVynix/vynix-mcp.git
cd vynix-mcp
npm install
npm run build
npm start          # runs dist/index.js over stdio
npm run dev        # watch mode with tsx
npm test           # smoke test: launches the server and verifies the tool + prompt surface

Then point your client at the built file instead of npx:

{
  "mcpServers": {
    "vynix": {
      "command": "node",
      "args": ["/absolute/path/to/vynix-mcp/dist/index.js"],
      "env": {
        "VYNIX_API_URL": "https://www.vynix.in",
        "VYNIX_API_TOKEN": "PASTE_YOUR_TOKEN_HERE"
      }
    }
  }
}

Diagnostics are written to stderr; stdout is reserved for the protocol stream.

评论

加载中…

同类推荐