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Sentinel Hub MCP

github.com/pipeworx-io/mcp-sentinel-hub official repository

MCP server providing AI agents with Sentinel-2 satellite data tools, including NDVI vegetation statistics and catalog searches for scenes by area, date range,…

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

What it does

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

Sentinel Hub MCP

MCP server providing AI agents with Sentinel-2 satellite data tools, including NDVI vegetation statistics and catalog searches for scenes by area, date range,…

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

Official Sentinel Hub MCP 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 Sentinel Hub MCP 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.

Sentinel Hub MCP'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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  "name": "Sentinel Hub MCP",
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  "niche": null,
  "category": null,
  "short_summary": "MCP server providing AI agents with Sentinel-2 satellite data tools, including NDVI vegetation statistics and catalog searches for scenes by area, date range,…",
  "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": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
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  ],
  "last_checked": null,
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    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
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    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
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    "unit_cost": null
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  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}