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.
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 (defaulthttps://www.vynix.in).VYNIX_API_TOKEN- a token generated at https://www.vynix.in/mcp, orVYNIX_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.
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