Server data from the Official MCP Registry
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
About
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
Remote endpoints: streamable-http: https://mcp.vynix.in/mcp
Security Report
This is a well-structured MCP server with proper authentication, reasonable permissions, and good security practices. The server requires API tokens for operation, implements comprehensive data sanitization to prevent sensitive information leakage, and clearly documents its tools and capabilities. Minor code quality observations exist but do not present significant security risks. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: VYNIX_API_URL
Environment variable: VYNIX_API_TOKEN
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Vynix MCP Server
Model Context Protocol server for Vynix. It gives coding agents direct access to visual feedback, bug reports, screenshots, diagnostics, comments, and issue workflows so agents can reason from real context instead of guessing.
Why Vynix
- Feedback with evidence: page metadata, target element, screenshot, console/network context.
- End-to-end execution: inspect feedback, diagnose, generate coding prompts, create GitHub issues, update status, comment.
- Agent-safe hints: read-only/idempotent/open-world annotations for better approval behavior in MCP clients.
- Registry-ready metadata for modern MCP directories.
Architecture
flowchart LR
A[MCP Client\nClaude/Cursor/Copilot/VS Code] -->|stdio or streamable-http| B[Vynix MCP Server]
B --> C[Vynix API]
B --> D[GitHub API via Vynix backend]
C --> E[Projects]
C --> F[Annotations]
C --> G[Screenshots and diagnostics]
Features
- 17 production tools for read and write workflows.
- Resource catalog for server metadata, tool/prompt/skill references, and contextual summaries.
- Workflow prompts for QA, release readiness, PM briefings, and engineering planning.
- Dual transport support:
stdioand Streamable HTTP. - Auth via API token or email/password refresh flow.
Installation
Node.js 18+ is required.
NPX (recommended)
{
"mcpServers": {
"vynix": {
"command": "npx",
"args": ["-y", "@usevynix/mcp-server"],
"env": {
"VYNIX_API_URL": "https://www.vynix.in",
"VYNIX_API_TOKEN": "PASTE_YOUR_TOKEN_HERE"
}
}
}
}
npm global install
npm install -g @usevynix/mcp-server
vynix-mcp
Docker
docker run --rm -i \
-e VYNIX_API_URL=https://www.vynix.in \
-e VYNIX_API_TOKEN=PASTE_YOUR_TOKEN_HERE \
ghcr.io/usevynix/vynix-mcp:latest
Local development
git clone https://github.com/UseVynix/vynix-mcp.git
cd vynix-mcp
npm install
npm run build
npm run check
node dist/index.js
Client Configuration
Claude Desktop
Use claude_desktop_config.json:
{
"mcpServers": {
"vynix": {
"command": "npx",
"args": ["-y", "@usevynix/mcp-server"],
"env": {
"VYNIX_API_TOKEN": "PASTE_YOUR_TOKEN_HERE"
}
}
}
}
Diagnostics are written to stderr; stdout is reserved for the protocol stream.
Cursor
Use ~/.cursor/mcp.json.
{
"mcpServers": {
"vynix": {
"command": "npx",
"args": ["-y", "@usevynix/mcp-server"],
"env": {
"VYNIX_API_TOKEN": "PASTE_YOUR_TOKEN_HERE"
}
}
}
}
VS Code
Use .vscode/mcp.json with top-level servers:
{
"servers": {
"vynix": {
"command": "npx",
"args": ["-y", "@usevynix/mcp-server"],
"env": {
"VYNIX_API_TOKEN": "PASTE_YOUR_TOKEN_HERE"
}
}
}
}
Windsurf
Use your Windsurf MCP config file with this server block:
{
"mcpServers": {
"vynix": {
"command": "npx",
"args": ["-y", "@usevynix/mcp-server"],
"env": {
"VYNIX_API_TOKEN": "PASTE_YOUR_TOKEN_HERE"
}
}
}
}
ChatGPT connectors
For hosted mode, use the Streamable HTTP endpoint:
- Base URL:
https://mcp.vynix.in/mcp - OAuth discovery:
/.well-known/oauth-authorization-server
Generic mcp.json
See examples/configs/mcp.json.
Authentication
Environment variables:
VYNIX_API_URL(optional, default:https://www.vynix.in)VYNIX_API_TOKEN(recommended)VYNIX_API_EMAILandVYNIX_API_PASSWORD(fallback login mode)VYNIX_MCP_MODE(stdioorhttp)VYNIX_MCP_HOST,VYNIX_MCP_PORT,VYNIX_MCP_PATH(HTTP mode)
Generate a token from: https://www.vynix.in/mcp
Tools, Prompts, and Resources
- Tool reference: docs/tools.md
- Prompt reference: docs/prompts.md
- Resource reference: docs/resources.md
- Skill/workflow reference: docs/skills.md
- Deployment guide: docs/deployment.md
- Agent discovery guide: docs/agent-discovery.md
- LLM index file: llms.txt
- Directory listing tracker: docs/listings-status.md
Examples
- Conversation workflows: examples/workflows
- Prompt library (100+ prompts): examples/prompts.md
Troubleshooting
Not configurederror: setVYNIX_API_TOKENor bothVYNIX_API_EMAILandVYNIX_API_PASSWORD.401errors: regenerate token and verify API URL.- No tools listed: confirm the MCP config key (
mcpServersvsservers) for your client. - Hosted mode not reachable: verify
VYNIX_MCP_MODE=httpand check/health.
FAQ
Does this send data to third-party AI providers?
Only diagnose_annotation can invoke external AI providers through your Vynix workspace configuration.
Is this read-only?
No. It includes read tools and write tools. MCP annotations identify mutating/open-world calls so clients can request confirmation.
Can I self-host?
Yes. Run in stdio mode locally or HTTP mode behind your own infrastructure.
Contributing
See CONTRIBUTING.md. For local validation run:
npm run check
Security
- Never commit API tokens.
- Prefer short-lived tokens where possible.
- See SECURITY.md (create one if your org requires a disclosure policy).
License
Changelog
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