Vynix MCP Server
MCP serverAI & modelsThis integration connects your AI coding agent to Vynix, where your visual feedback, bug reports, and AI diagnosis are collected. Once added, your AI can read those reports and use them to understand and fix issues in your code.
Use Vynix MCP Server in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Vynix MCP Server and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use Vynix MCP Server to list projects
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Add the integration, then ask your AI to pull up your Vynix feedback or bug reports. The source is available at github.com/usevynix/vynix-mcp.
What your AI can do with it
- Read visual feedback collected in Vynix
- Look up bug reports during a coding session
- Review AI diagnosis to understand what went wrong
- Use real feedback and reports to decide what to fix
Install Vynix MCP Server
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user vynix-mcp-server 'https://mcp.vynix.in/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.vynix.in/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=vynix-mcp-server&config=eyJ1cmwiOiJodHRwczovL21jcC52eW5peC5pbi9tY3AifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.vynix.in/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add vynix-mcp-server --url 'https://mcp.vynix.in/mcp'Run it once, then sign in with codex mcp login vynix-mcp-server if the server asks for an account.
From the project's README
As published by usevynix/vynix-mcp in README.md.
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
Tools it offers (17)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
list_projectslist_annotationsget_annotationlist_commentsget_annotation_analysisget_annotation_screenshotslist_annotation_issueslist_project_issuesgenerate_promptget_metricslist_membersget_activityupdate_annotation_statusadd_commentdiagnose_annotationcreate_github_issuecreate_share_link
Signals
- GitHub stars
- 13
- Forks
- 5
- Last commit
- Aug 2026
Advanced
- Delivery
- vynix-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
in-vynix-vynix-mcp- Source
- github.com/usevynix/vynix-mcp
- Hosted endpoint
https://mcp.vynix.in/mcp
More in AI & models
MCP server · upstash
More in AI & modelsAdButler
MCP server · adbutler
More in AI & modelsatom-mcp-server
MCP server · a7om-ai
More in AI & modelsottasia
MCP server · aiweather-anurag
More in AI & modelsunphurl
MCP server · 123ergo
More in AI & modelsmicrosoft-learn-mcp
MCP server · microsoftdocs
More in AI & models