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SpiceMCP

↗ github.com/oniondas/SpiceMCP official repository

An MCP server for optimizing LTspice circuit simulations. It manages optimization state, candidate netlists, simulation history, metrics, deduplication, rollba…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation—pricing pages rechecked daily
Website liveness9 Oct 2026alive · separate from pricing

What it does

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

SpiceMCP

An MCP server for optimizing LTspice circuit simulations. It manages optimization state, candidate netlists, simulation history, metrics, deduplication, rollba…

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

Official SpiceMCP links

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 SpiceMCP 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.

SpiceMCP's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "spicemcp",
  "name": "SpiceMCP",
  "url": "https://github.com/oniondas/SpiceMCP",
  "logo": "https://github.com/oniondas.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "An MCP server for optimizing LTspice circuit simulations. It manages optimization state, candidate netlists, simulation history, metrics, deduplication, rollba…",
  "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": "No public price found",
    "summary": "No public SaaS pricing was observed for SpiceMCP.",
    "confidence": "medium",
    "source_url": "https://github.com/oniondas/SpiceMCP",
    "checked_at": "2026-10-03T04:02:24.223Z",
    "source_kind": "vendor",
    "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/oniondas/SpiceMCP"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/oniondas/SpiceMCP",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [],
    "install": "pip install -e \" .[dev] \" pytest -q LTspice is auto-detected ( AppData\\",
    "repository": "https://github.com/oniondas/spicemcp"
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "pip install -e \" .[dev] \" pytest -q LTspice is auto-detected ( AppData\\",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install"
      ],
      "excerpt": "ass T_Runs,T_Designs,T_Exps,T_Sens db class CandDir,SimDir,RepDir fs Loading Install pip install -e \" .[dev] \" pytest -q LTspice is auto-detected ( AppData\\Local\\Programs",
      "url": "https://github.com/oniondas/SpiceMCP",
      "observed_day": "2026-10-08",
      "age_days": 2,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-08-18",
      "age_days": 53,
      "verified_day": null,
      "note": "not verified by the page-text gate"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 276,
    "uptime_7d": 0.88,
    "checked_at": "2026-10-09T08:44:41.651Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}