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Comparison

optlens vs io.github.grafana/mcp-grafana

optlens is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑15.

optlens is a plugin bundle for AI coding tools published by Jessica Dong. 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 2026-10-19. 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

Where each is published
Marketplaceoptlensio.github.grafana/mcp-grafana
Community marketplace jjd-lab/optlens Removed on 2026-10-15
Version: 0.0.2
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: v2.0.2
Forks (GitHub): 468
Stars (GitHub): 3 573
Not marked · First seen
Claude Code: claude-plugins-official Not listed Listed
Version: 0.2.0
Forks (GitHub): 4
Stars (GitHub): 19
Not marked · First seen
Docker MCP Catalog Not listed Listed
Version: sha256:9362bcf6aa0e
Forks (GitHub): 468
Pulls (Docker Hub): 1 074 129
Stars (Docker Hub): 22
Stars (GitHub): 3 573
Not marked · First seen
Claude Code: claude-plugins-community Not listed Listed
Version: 0.2.0
Forks (GitHub): 4
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

optlens vs io.github.grafana/mcp-grafana
Factoptlensno longer listed · io.github.grafana/mcp-grafana
Marketplaces that list it (differs)05
Stars (GitHub) (differs)03 573
Pulls (Docker Hub) (differs)No figure on Docker Hub1 074 129
Forks (GitHub) (differs)0468
Last release (differs)Not published2026-10-16
Where it runs (differs)Installs as a plugin bundleRemote server or your machine
Transport (differs)Not statedStreamable HTTP, stdio
Tools it declares (differs)Not published65
Environment variables it asks for (differs)2, secrets among them: 07, secrets among them: 2
Parts of the bundle22
LicenceApache-2.0Apache-2.0
Repository (differs)github.com/jjd-lab/optlensgithub.com/grafana/mcp-grafana
Changes in the last 7 days (differs)43
First seen (differs)2026-10-132026-10-11
Endpoint at the last check (differs)no remote endpoint we checkResponded 43 h 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 optlens

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • optlens

    Debug and explain LP/MILP models: why infeasible, the smallest fix, what-if and sensitivity.

    by jjd-lab · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • SAGE — Solver-Augmented Grounding Engine

    LLM-native optimization solver: LP, MIP, portfolio & scheduling via HiGHS/OR-Tools.

    by pragnakar · MCP server

    Listed on: Official MCP Registry · Describes a similar job

  • contextstellar

    Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…

    by sunnypatneedi · Plugin bundle

    Listed on: Claude Code: claude-plugins-community · Describes a related job

  • Plugin Eval

    Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.

    by OpenAI Codex · Plugin bundle

    Listed on: Codex: openai-curated (openai/plugins) · Describes a related job

  • RASON

    Build, solve, and analyze RASON optimization, simulation, data science, and decision models

    by FrontlineSystems · MCP server

    Listed on: Official MCP Registry · Describes a related job

  • glin

    Exactly explainable classifiers for agents: train, tune, predict, explain on CSV or Excel.

    by AkashChatterjee · MCP server

    Listed on: Official MCP Registry · Describes a related job

Its card, with similar plugins by marketplace

What each says it does

optlens

In its own words, on Community GitHub marketplaces:

Debug and explain LP/MILP models: why infeasible, what fixes it, what-if, sensitivity, scenario comparison. Needs pip install 'optlens[scip,mcp]'.

io.github.grafana/mcp-grafana

In its own words, on Official MCP Registry:

An MCP server giving access to Grafana dashboards, data and more.

How to run each

optlens

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 Code
claude mcp add --transport http mcp-grafana https://mcp.grafana.com/mcp

Requires: 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 optlens publish no list of tools, so we do not compare tools.

Settings each asks for

Only optlens asks for

  • OPTLENS_CALL_LIMIT
  • OPTLENS_SOLVER

Only io.github.grafana/mcp-grafana asks for

  • GRAFANA_API_KEY (secret)
  • GRAFANA_EXTRA_HEADERS
  • GRAFANA_FORWARD_HEADERS
  • GRAFANA_ORG_ID
  • GRAFANA_PASSWORD (secret)
  • GRAFANA_SERVICE_ACCOUNT_TOKEN (secret)
  • GRAFANA_URL
  • GRAFANA_USERNAME

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: optlens · 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.

Where the data comes from: how the catalog is built