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Lemma

github.com/tkpratardan/lemma official repository

MCP server that enables AI agents to work with live Jupyter kernels for data science workflows. Provides stateful, reproducible notebook execution with real-ti…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Lemma

MCP server that enables AI agents to work with live Jupyter kernels for data science workflows. Provides stateful, reproducible notebook execution with real-ti…

Agentery has not yet captured structured capability detail for this provider.

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Lemma good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

View the full niche →

Comparable Data Visualization Agent

Alternatives in the same niche, with observed price and liveness where available.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "lemma",
  "name": "Lemma",
  "url": "https://github.com/tkpratardan/lemma",
  "logo": "https://github.com/tkpratardan.png?size=200",
  "niche": "data-visualization-agent",
  "category": "developer-tools-infra",
  "short_summary": "MCP server that enables AI agents to work with live Jupyter kernels for data science workflows. Provides stateful, reproducible notebook execution with real-ti…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-07-26T05:27:01.953Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/tkpratardan/lemma"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/tkpratardan/lemma",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 817,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:35:13.154Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}