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MCP Perception MCP Server

answering

MCP Perception is answering right now. Last checked 8 min ago. It exposes 8 tools. Last commit 5 Sep 2026.

Geospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance

Uptime history 52 days of history · worst day 99%
52 days agonow
100.0%
Uptime 24h
91 of 91 checks
8
Tools
read from the server
286 ms
Response time
average over 24h
0
Stars
last commit 5 Sep 2026

What the code does

We read the source, 8 h ago · tools taken from the live server · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Executes code built at runtime packages/mcp-gdal/src/gdal_worker.py:166
    result_arr = eval(p['formula'], {'__builtins__': {}, 'np': np}, band_data).astype(np.float32)
Builds a file path from a variable packages/mcp-gdal/src/gdal_worker.py:17
    return os.path.join(TMP_DIR, f'{uuid.uuid4()}.{ext}')

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

run in your terminal
claude mcp add mcp-perception --transport http https://packagesmcp-perception-production.up.railway.app/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-perception": {
      "url": "https://packagesmcp-perception-production.up.railway.app/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-perception]
url = "https://packagesmcp-perception-production.up.railway.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-perception": {
      "url": "https://packagesmcp-perception-production.up.railway.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-perception": {
      "url": "https://packagesmcp-perception-production.up.railway.app/mcp"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

gns
gns_get_compliance_report
Returns a full EU AI Act compliance report for a GNS agent, including trust score, chain verification, Merkle epoch proofs, delegation certificate, and regulatory status.
gns_get_trust_score
Get the current TierGate trust tier and score for an agent. Tiers: provisioned (0%) → observed (25%) → trusted (60%) → certified (85%) → sovereign (99%). Omit agent_pk to query the server's own agent.
gns_roll_epoch
Roll all pending breadcrumbs into a new sealed epoch with a Merkle root. Returns { epoch_index, merkle_root, block_count, epoch_hash }. Call this at the end of a session to produce a tamper-evident compliance snapshot.
gns_verify_chain
Verify the cryptographic integrity of an agent's breadcrumb chain. Returns { is_valid, block_count, issues[] } plus epoch Merkle roots. A valid chain proves no audit records have been tampered with.
perception
perception_classify
Run Prithvi-EO-2.0-300M-TL-Sen1Floods11 flood classification on a Sentinel-2 tile previously fetched by perception_fetch_tile. Sends the 6-band chip to a RunPod endpoint and returns: dominant_class, flood_pixel_pct, confidence, class_counts, and the full perception_chain. The perception chain is written to Spatial Memory and a signed audit breadcrumb is dropped to the agent trail.
perception_embed
[Sub-phase 4.2 — NOT YET IMPLEMENTED] Will generate Clay v1.5 embeddings.
perception_fetch_tile
Fetch the least-cloudy Sentinel-2 L2A tile covering a given H3 cell from Microsoft Planetary Computer. Returns signed COG band URLs for all 6 Prithvi/Clay spectral bands (B02 Blue, B03 Green, B04 Red, B8A NIR, B11 SWIR1, B12 SWIR2), plus tile metadata. The tile is cached in memory for subsequent perception_classify or perception_embed calls.
perception_weather
Query atmospheric conditions for an H3 cell at a given timestamp from Open-Meteo ERA5. Returns wind, precipitation, temperature. Writes to Spatial Memory and drops a signed audit breadcrumb.

Endpoints

URLTransportStateLatencyChecked
https://packagesmcp-perception-production.up.railway.app/mcp streamable-http answering 278 ms 8 min ago

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MCP Perception — questions

Answers built from our own checks of this server.

What can MCP Perception do?
It exposes 8 tools, read directly from the server on our last check. Among them: gns_get_compliance_report, gns_get_trust_score, gns_roll_epoch, gns_verify_chain, perception_classify, perception_embed and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is MCP Perception mostly used for?
Its tools cluster around gns and perception. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is MCP Perception working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 286 ms. The bar chart above shows every period we have measured.
How do I connect MCP Perception?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does MCP Perception need an API key?
No. MCP Perception completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is MCP Perception?
It answers our handshake in 286 ms on average, which is faster than 57% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is MCP Perception open source?
We cannot say either way: written in TypeScript, 0 stars on GitHub and 3 open issues, but we could not determine the licence, and without one the code is not open source by default.