auto-optimize vs io.github.grafana/mcp-grafana
auto-optimize is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑24.
auto-optimize is a plugin bundle for AI coding tools published by donghyungko. No marketplace we read lists it any more. io.github.grafana/mcp-grafana is an MCP server published by grafana. Marketplaces we read that list it: 5 (Official MCP Registry, Claude Code: claude-plugins-official, Docker MCP Catalog, Claude Code: claude-plugins-community, Community GitHub marketplaces). As of our marketplace pass on 2026-10-26. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |  io.github.grafana/mcp-grafana | |
|---|---|---|
| Community marketplace bluuewhale/auto-optimize | Removed on 2026-10-24 Version: 1.0.1 Forks (GitHub): 0 Stars (GitHub): 8 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: v2.1.1 Forks (GitHub): 479 Stars (GitHub): 3 607 Not marked · First seen |
| Claude Code: claude-plugins-official | Not listed | Listed Version: 0.2.0 Forks (GitHub): 5 Stars (GitHub): 19 Not marked · First seen |
| Docker MCP Catalog | Not listed | Listed Version: sha256:9362bcf6aa0e Forks (GitHub): 479 Pulls (Docker Hub): 1 109 123 Stars (Docker Hub): 22 Stars (GitHub): 3 607 Not marked · First seen |
| Claude Code: claude-plugins-community | Not listed | Listed Version: 0.2.0 Forks (GitHub): 5 Stars (GitHub): 19 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | auto-optimizeno longer listed · | io.github.grafana/mcp-grafana |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 5 |
| Stars (GitHub) (differs) | 8 | 3 607 |
| Pulls (Docker Hub) (differs) | No figure on Docker Hub | 1 109 123 |
| Forks (GitHub) (differs) | 0 | 479 |
| Last release (differs) | Not published | 2026-10-20 |
| Where it runs (differs) | Installs as a plugin bundle | Remote server or your machine |
| Transport (differs) | Not stated | Streamable HTTP, stdio |
| Tools it declares (differs) | Not published | 65 |
| Environment variables it asks for (differs) | Not published | 7, secrets among them: 2 |
| Parts of the bundle (differs) | 1 | 2 |
| Licence (differs) | Not stated | Apache-2.0 |
| Repository (differs) | github.com/bluuewhale/auto-optimize | github.com/grafana/mcp-grafana |
| Changes in the last 7 days (differs) | 2 | 4 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
| Endpoint at the last check (differs) | no remote endpoint we check | Responded 2 days ago, requires a key |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of auto-optimize
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Autonomous experiment loop for Claude Code. Run an endless optimize-measure-keep/discard cycle on any optimization target: LLM training loss, test speed, bundle size, build time…
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Structured performance investigation with baselines, profiling, and evidence-backed decisions — run by AI agents inside your editor. `/perf` enforces a rigorous 10-phase…
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Structured experiment-driven code optimization using tree search and parallel subagents
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Analyze and optimize code performance, identify bottlenecks, and suggest improvements
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CodSpeed is the all-in-one performance testing toolkit. Dive into benchmarking results, flamegraphs, and performance comparisons — give Claude granular profiling context to…
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Use this agent for comprehensive performance testing, profiling, and optimization recommendations. This agent specializes in measuring speed, identifying bottlenecks, and…
What each says it does
auto-optimize
Profiling-driven code optimization workflow. Builds Regression Test and Benchmark Test infrastructure first, then runs an autonomous optimization loop to iteratively improve measurable metrics.
io.github.grafana/mcp-grafana
An MCP server giving access to Grafana dashboards, data and more.
How to run each
auto-optimize
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
io.github.grafana/mcp-grafana As a remote MCP server
claude mcp add --transport http mcp-grafana https://mcp.grafana.com/mcpRequires: GRAFANA_PASSWORD (secret), GRAFANA_SERVICE_ACCOUNT_TOKEN (secret), GRAFANA_URL
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only io.github.grafana/mcp-grafana has a remote endpoint we check. How we check endpoints
Tools each declares
The marketplaces of auto-optimize publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of auto-optimize publish no settings it asks for, so we do not compare settings.
What it can do: auto-optimize · What it can do: io.github.grafana/mcp-grafana · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-official/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.