vynix-mcp-server

vynix-mcp-server

AI-powered website feedback and visual bug reporting MCP server that lets AI coding assistants access Vynix projects, annotations, and create GitHub issues with rich debugging context.

Category
Visit Server

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:

Tool Description
list_projects List the projects you own.
list_annotations List a project's annotations, filtered by status / type / priority.
get_annotation Fetch one annotation with full page / element / DOM / diagnostics context.
list_comments Read an annotation's discussion thread.
get_annotation_analysis Read the latest AI diagnosis (root causes, fix, likely files).
get_annotation_screenshots Return attached screenshots as viewable images.
list_annotation_issues List the GitHub issues opened from an annotation (optionally live).
list_project_issues List every tracker issue across a project, with a summary.
generate_prompt Produce a ready-to-paste prompt (claude/copilot/cursor/gemini/codex/generic).
get_metrics KPI counts, status breakdown, time series, recent activity.
list_members A project's team members.
get_activity A project's recent activity feed.

Writes (a client should confirm these):

Tool Description
update_annotation_status Move an annotation to in_progress, completed, etc.
add_comment Post a comment to an annotation's thread (notifies the team).
diagnose_annotation Run the AI Diagnosis Engine (uses an AI provider; stores the result).
create_github_issue File a GitHub issue from an annotation.
create_share_link Mint a read-only public review link for a project.

Prompts

Prompt Description
fix_annotation A 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/vynix-in/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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured