Oceanir

io.github.Oceanir/oceanirVersion 0.1.0

Locate photos from visual clues and assess location claims with candidates and uncertainty.

Status

Responds233 msNov 14, 2026, 14:40 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:40 UTC
Latency: 233 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://mcp.oceanir.ai/Responds233 msNov 14, 2026, 14:40 UTC

No sign-in

Claude Code

claude mcp add --transport http oceanir https://mcp.oceanir.ai/

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: oceanir
Remote MCP server URL: https://mcp.oceanir.ai/

Cursor

{
  "mcpServers": {
    "oceanir": {
      "url": "https://mcp.oceanir.ai/"
    }
  }
}

VS Code

code --add-mcp '{"name":"oceanir","type":"http","url":"https://mcp.oceanir.ai/"}'

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Tools

9 tools

Tools of Oceanir
	Description		Read-only	Idempotent	Open world
`add_scene_to_case`Analyze one image and attach the result to an existing case. Spends credits at the usual rates (D1 1, D2 2, D3 10). Capped at 20 analyses an hour per account, and a connected app is limited to depth 2. Returns the analysis and the case id. Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	Analyze one image and attach the result to an existing case. Spends credits at the usual rates (D1 1, D2 2, D3 10). Capped at 20 analyses an hour per account, and a connected app is limited to depth 2. Returns the analysis and the case id. Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	No	No	No	Yes
`check_credits`Check the authenticated Oceanir account's current credit balance and remaining monthly allowance.	Check the authenticated Oceanir account's current credit balance and remaining monthly allowance.	No	Yes	Yes	No
`check_location_claim`Test whether an image is consistent with a location someone has already claimed: a listing's stated city, an address on a case file or claim form, a caption. Oceanir locates the image from visual evidence alone FIRST, then compares. Returns a verdict of `agrees`, `contradicts`, or `unverifiable`, with the distance between the claim and the evidence. `unverifiable` means the image does not settle it and the item needs a human. It is a real answer, not a failure. A verdict of `agrees` means the image is consistent with the claim, not that the claim is true. Capped at 20 analyses an hour per account, and a connected app is limited to depth 2 (an agent token with maximum depth 3 can use depth 3). Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	Test whether an image is consistent with a location someone has already claimed: a listing's stated city, an address on a case file or claim form, a caption. Oceanir locates the image from visual evidence alone FIRST, then compares. Returns a verdict of `agrees`, `contradicts`, or `unverifiable`, with the distance between the claim and the evidence. `unverifiable` means the image does not settle it and the item needs a human. It is a real answer, not a failure. A verdict of `agrees` means the image is consistent with the claim, not that the claim is true. Capped at 20 analyses an hour per account, and a connected app is limited to depth 2 (an agent token with maximum depth 3 can use depth 3). Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	No	No	No	Yes
`create_case`Create an empty case to group related results. Free: it spends no credits. Returns the new case's id.	Create an empty case to group related results. Free: it spends no credits. Returns the new case's id.	No	No	No	No
`find_scene`Analyze an image and return its probable real-world location. Returns ranked coordinates with a confidence score and the visual evidence chain the analysis used (architecture, signage, vegetation, terrain, lighting). No EXIF or GPS required. Capped at 20 analyses an hour per account, and a connected app is limited to depth 2 (an agent token with maximum depth 3 can use depth 3). Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	Analyze an image and return its probable real-world location. Returns ranked coordinates with a confidence score and the visual evidence chain the analysis used (architecture, signage, vegetation, terrain, lighting). No EXIF or GPS required. Capped at 20 analyses an hour per account, and a connected app is limited to depth 2 (an agent token with maximum depth 3 can use depth 3). Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	No	No	No	Yes
`get_case`Read a case's summary: what it holds, the results attached to it and where they point. Read-only: it never runs an analysis and never spends credits. Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	Read a case's summary: what it holds, the results attached to it and where they point. Read-only: it never runs an analysis and never spends credits. Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	No	Yes	Yes	No
`get_usage`Read the last 30 days of Oceanir usage for the authenticated account: calls, credits used, a breakdown by depth, and what remains. Read-only; it never spends credits.	Read the last 30 days of Oceanir usage for the authenticated account: calls, credits used, a breakdown by depth, and what remains. Read-only; it never spends credits.	No	Yes	Yes	No
`list_cases`List this account's cases (named groups of results), newest first, with their ids. Read-only: it never runs an analysis and never spends credits.	List this account's cases (named groups of results), newest first, with their ids. Read-only: it never runs an analysis and never spends credits.	No	Yes	Yes	No
`list_past_scenes`List this account's past Oceanir results, newest first: place, coordinates, confidence, depth and date. Read-only: it never runs a new analysis and never spends credits. Accounts with analysis history switched off return nothing. Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	List this account's past Oceanir results, newest first: place, coordinates, confidence, depth and date. Read-only: it never runs a new analysis and never spends credits. Accounts with analysis history switched off return nothing. Reads the scene only (architecture, signage, terrain, vegetation), never the people in it. No face recognition, no biometric identification, no person matching. It answers where an image was taken, never who is in it, and must not be used to locate or track a person.	No	Yes	Yes	No

Details

Registry status: Active
Published: Nov 2, 2026
Updated: Nov 2, 2026
Website: https://oceanir.ai/docs/mcp⁠ (opens in a new tab)
Repository: https://github.com/Oceanir/oceanir-mcp⁠ (opens in a new tab)
Categories (suggested): Design and mediaSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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