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ekigraph

github.com/yataro-fujinaga/ekigraph official repository

An MCP server providing Japanese railway station adjacency data for AI clients. It covers 9,043 stations and 593 lines, with tools for finding connected statio…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checked25 Aug 2026pricing & liveness

What it does

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

ekigraph

An MCP server providing Japanese railway station adjacency data for AI clients. It covers 9,043 stations and 593 lines, with tools for finding connected statio…

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

Official ekigraph 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 ekigraph 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.

ekigraph's local market

Nearest products by what they do.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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  "short_summary": "An MCP server providing Japanese railway station adjacency data for AI clients. It covers 9,043 stations and 593 lines, with tools for finding connected statio…",
  "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,
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    "checked_at": "2026-08-25T04:37:16.266Z",
    "amount": null,
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    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
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  ],
  "last_checked": null,
  "how_to_connect": {
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    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
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    "endpoint_kind": "site",
    "latency_ms": 1130,
    "uptime_7d": null,
    "checked_at": "2026-08-25T02:36:16.847Z",
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  "price_extras": {
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  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}