mcp server
Goodeye
Design, save, and run outcome-aligned AI workflows and verifiers, with reliable image output.
Description as published by the maintainer. Source
- version 0.19.2
- active
active — Most recent push to the repository was 2026-07-31.
What this server can do
The server requires authentication before it will list its tools (HTTP 401). We do not hold an account for it, so its functions are unknown to us.
Endpoint status observed on . Source: https://mcp.goodeye.dev/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 | 4 | 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 | 2026-07-31 | 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 | 0 | 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 | 0.19.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-18 | 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 | 2026-06-18 | 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 endpoint status | auth_required | The server requires authentication before it will list its tools (HTTP 401). We do not hold an account for it, so its functions are unknown to us. | as of probe | mcp.goodeye.dev |
Where to get it
Related, by what their authors tagged them
-
io.github.agencyenterprise/aiseo-audit
— last commit 2026-04-27, shares cli, generative-ai
Audit web pages for AI search readiness (ChatGPT, Claude, Perplexity, Gemini).
-
Glif
— last commit 2026-07-30, shares generative-ai
Generate images, video, and audio with Glif's media-generation agent
-
Promptibus MCP
— last commit 2026-05-11, shares generative-ai
Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.
-
io.github.Anil-matcha/muapi
— last commit 2026-08-02, shares generative-ai
Generate images, videos, and audio using 100+ AI models via muapi.ai.
-
io.github.bibinprathap/veritasgraph
— last commit 2026-08-06, shares generative-ai
Zero-trust, air-gapped Enterprise GraphRAG MCP server with offline, citation-grounded answers.
-
Clipia
— last commit 2026-07-30, shares generative-ai
Generate AI images, video, speech, music and presentations from Claude, ChatGPT and Cursor.
-
Kiln
— last commit 2026-08-05, shares generative-ai
Kiln MCP server for agents: design, slice, print, monitor, and recover physical objects safely.
-
Opik MCP Server
— last commit 2026-08-06, shares generative-ai
Interact with Opik prompts, traces, datasets and metrics through the Model Context Protocol.
-
Connapse
— last commit 2026-07-21, shares generative-ai
Self-hosted knowledge backend for AI agents with hybrid search and MCP tools
-
io.github.habedi/omni-lpr
— last commit 2026-07-05, shares generative-ai
An MCP server for automatic license plate recognition
These share tags the maintainers applied themselves, such as cli, generative-ai. 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: agentic-ai, ai-agents, ai-tools, ai-workflows, anthropic, claude, cli, developer-tools, generative-ai, goodeye, llm, mcp, python, workflow-automation.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json