mcp server
Vynix
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
Description as published by the maintainer. Source
- version 0.1.4
- active
active — Most recent push to the repository was 2026-08-06.
What this server can do
17 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
add_comment(body, annotation_id)- Add a comment to an annotation’s thread, e.g. to record what you changed. Notifies the team. Required: annotation_id, body.
create_github_issue(repo, assignees, annotation_id)- Create a GitHub issue from an annotation. Uses the project’s configured repo and assignee unless overridden. Embeds the generated AI prompt in the issue body. Required: annotation_id.
create_share_link(project_id, expires_in_days)- Mint a read-only public review link for a project, so a stakeholder can review its annotations without an account. Reporter emails are hidden on shared views. Required: project_id.
diagnose_annotation(model, provider, annotation_id)- Run the AI Diagnosis Engine on an annotation: it analyses the captured page, element, DOM, and runtime errors to produce ranked root causes, a confidence score, a suggested fix, and the likely source files. Calls an AI provider (uses tokens / may cost money) and stores the result. Requires AI + diagnosis enabled by the workspace admin and a key set. Required: annotation_id.
generate_prompt(target, annotation_id)- Render a ready-to-paste coding prompt for an annotation, formatted for a target assistant. A deterministic template (no AI spend); for a deeper analysis use diagnose_annotation. Required: annotation_id.
get_activity(project_id)- Recent activity feed for a project (status changes, comments, issues, members). Required: project_id.
get_annotation(annotation_id)- Fetch one annotation with its full captured context: page, target element (selector, XPath, styles), surrounding DOM, and runtime diagnostics (console + network). Required: annotation_id.
get_annotation_analysis(annotation_id)- Read the latest stored AI diagnosis for an annotation (root causes, confidence, suggested fix, and likely source files). Returns null when none has been generated yet; run diagnose_annotation to create one. Required: annotation_id.
get_annotation_screenshots(annotation_id)- Return the region screenshots attached to an annotation as viewable images, so you can see exactly what the reporter pointed at. Required: annotation_id.
get_metrics- Overview of your projects: KPI counts, status breakdown, a daily time series, and recent activity.
list_annotation_issues(refresh, annotation_id)- List the tracker (GitHub) issues opened from an annotation, with each issue’s live state. Set refresh to reconcile against GitHub (open/closed + any linked pull request). Required: annotation_id.
list_annotations(type, limit, offset, status, priority, project_id)- List a project’s annotations, optionally filtered by status, type, or priority. Start here with status "open" to see what needs fixing. Required: project_id.
list_comments(annotation_id)- Read the discussion thread on an annotation. Required: annotation_id.
list_members(project_id)- List a project’s team members, including role and status. Required: project_id.
list_project_issues(project_id)- List every tracker issue across a project, with an open/closed/agent summary. Required: project_id.
list_projects- List the Vynix projects you own.
update_annotation_status(status, annotation_id)- Update an annotation’s status, e.g. to mark it in_progress or completed. Required: annotation_id, status.
Last successful function declaration observed on . Source: https://mcp.vynix.in/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.vynix.in/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 6 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.4 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-28 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-28 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 17 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.vynix.in | |
| mcp endpoint status | ok | The server listed 17 functions when asked. | as of probe | mcp.vynix.in |
Where to get it
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io.github.cyanheads/stackexchange-mcp-server
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Search Stack Exchange questions, fetch Q&A threads as markdown, look up tag FAQs and user profiles.
These share tags the maintainers applied themselves, such as bug-reporting, qa. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, ai-diagnosis, bug-reporting, claude, copilot, developer-tools, feedback-tool, mcp, mcp-server, model-context-protocol, qa, visual-feedback, vynix, website-annotation.
This record as data
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