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ai-virtuoso vs io.github.lineai-intelligence/lineai-mcp-server

ai-virtuoso is no longer listed on any marketplace we read: these are its last known data, as of 2026‑11‑06.

ai-virtuoso is a plugin bundle for AI coding tools published by krzysztofsurdy. No marketplace we read lists it any more. io.github.lineai-intelligence/lineai-mcp-server is an MCP server published by lineai-intelligence. Marketplaces we read that list it: 2 (Official MCP Registry, PyPI (MCP servers)). As of our marketplace pass on 2026-11-12. 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
Marketplaceai-virtuosoio.github.lineai-intelligence/lineai-mcp-server
Community marketplace krzysztofsurdy/code-virtuoso Removed on 2026-11-06
Version: not stated
Forks (GitHub): 1
Stars (GitHub): 29
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.4.0
Downloads/month (PyPI): 6 265
Downloads/week (PyPI): 385
Forks (GitHub): 15
Stars (GitHub): 37
Not marked · First seen
PyPI (MCP servers) Not listed Listed
Version: 1.4.0
Downloads/month (PyPI): 6 265
Downloads/week (PyPI): 385
Forks (GitHub): 15
Stars (GitHub): 37
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

ai-virtuoso vs io.github.lineai-intelligence/lineai-mcp-server
Factai-virtuosono longer listed · io.github.lineai-intelligence/lineai-mcp-server
Marketplaces that list it (differs)02
Stars (GitHub) (differs)2937
Forks (GitHub) (differs)115
Last release (differs)Not published2026-10-14
Where it runs (differs)Installs as a plugin bundleOn your machine (lineai-mcp-server)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published5, secrets among them: 1
Parts of the bundle (differs)2Not a bundle
Licence (differs)Not statedMPL-2.0
Repository (differs)github.com/krzysztofsurdy/code-virtuosogithub.com/lineai-intelligence/lineai-mcp-server
Changes in the last 7 days (differs)20
First seen (differs)2026-10-262026-10-11

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 ai-virtuoso

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

  • observability

    LLM application monitoring including LangSmith and Phoenix. Use when debugging LLM apps or monitoring production systems.

    by orchestra-research · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • llm-observability-orchestration-agent-langchain-community ai.getvda/llm-observability-orchestration-agent-langchain-community

    LLM Observability & Orchestration Agent (LangChain Community)

    by getvda.ai · MCP server

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

  • llm-observability

    26 ready-to-use skills for LLM observability, several shipping runnable unit-tested scripts (cost calculator, OTel span validator, PII scrubber, hallucination consistency check…

    by ContextJet.ai · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • langsmith-skills

    Agent skills for observing and evaluating LLM applications with LangSmith

    by LangChain · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • llm-observability-orchestration-agent-langchain ai.getvda/llm-observability-orchestration-agent-langchain

    LLM Observability & Orchestration Agent (Langchain)

    by getvda.ai · MCP server

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

  • DeepEval

    Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.

    by confident-ai · Plugin bundle

    Listed on: Claude Code: claude-plugins-official, Community GitHub marketplaces · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

ai-virtuoso

In its own words, on Community GitHub marketplaces:

2 AI engineering skills: LLM evals and LLM observability

io.github.lineai-intelligence/lineai-mcp-server

In its own words, on Official MCP Registry:

An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.

How to run each

ai-virtuoso

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

io.github.lineai-intelligence/lineai-mcp-server As a local MCP server: PyPI package

Claude Code
claude mcp add --env "LINEAI_PASSWORD=<YOUR_LINEAI_PASSWORD>" --env "LINEAI_SERVER_HOST=<YOUR_LINEAI_SERVER_HOST>" --env "LINEAI_USERNAME=<YOUR_LINEAI_USERNAME>" --env "LINEAI_WORKSPACE_NAME=<YOUR_LINEAI_WORKSPACE_NAME>" --transport stdio lineai-mcp-server -- uvx lineai-mcp-server

Requires: LINEAI_PASSWORD (secret), LINEAI_SERVER_HOST, LINEAI_USERNAME, LINEAI_WORKSPACE_NAME

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

The marketplaces of ai-virtuoso publish no settings it asks for, so we do not compare settings.

What it can do: ai-virtuoso · What it can do: io.github.lineai-intelligence/lineai-mcp-server · 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. Package data comes from the Python Package Index (pypi.org). 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