mcp-perception
MCP serverAI & modelsLets your agent analyse satellite images, map features, weather data, and land-governance records.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the perception fetch tile tool from mcp-perception
About this server
Geospatial AI MCP server, satellite imagery, embeddings, weather, GNS governance
Install mcp-perception
The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user mcp-perception 'https://packagesmcp-perception-production.up.railway.app/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://packagesmcp-perception-production.up.railway.app/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=mcp-perception&config=eyJ1cmwiOiJodHRwczovL3BhY2thZ2VzbWNwLXBlcmNlcHRpb24tcHJvZHVjdGlvbi51cC5yYWlsd2F5LmFwcC9tY3AifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://packagesmcp-perception-production.up.railway.app/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add mcp-perception --url 'https://packagesmcp-perception-production.up.railway.app/mcp'Run it once, then sign in with codex mcp login mcp-perception if the server asks for an account.
From the project's README
As published by gns-foundation/geiant in README.md. This repository publishes several servers, so only the opening is shown here.
Geo-Identity Agent Navigation & Tasking
The first AI orchestrator that knows where it is.
What is GEIANT?
GEIANT is a geospatial AI agent orchestration runtime built on the GNS Protocol. It is a direct competitor to LangChain, CrewAI, and AutoGen — with one structural difference: every agent has a cryptographic identity bound to an H3 territory, and every task is routed through a compliance enforcement layer before dispatch.
LangChain doesn't know where it is. GEIANT does.
The Ant Metaphor
In GEIANT, agents are ants. Ants are the canonical model of emergent collective intelligence from simple agents following spatial rules. Ant Colony Optimization (ACO) is a real algorithm used in routing and pathfinding. The colony is the orchestrated workflow. The territory is the H3 grid.
- An ant (
AntIdentity) is an agent with a GNS Ed25519 keypair + H3 territory + facet scope + trust tier - The colony is a multi-agent workflow where ants delegate and collaborate
- The nest is the Agent Registry — the directory of available ants
- The trail is the Virtual Breadcrumb chain — the Proof-of-Jurisdiction audit log
Shortened here. Read the whole README on GitHub.
Tools it offers (8)
What this server listed when ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.
perception_fetch_tileperception_classifyperception_embedperception_weathergns_get_trust_scoregns_verify_chaingns_roll_epochgns_get_compliance_report
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- mcp-perception MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
com-geiant-mcp-perception- Source
- github.com/gns-foundation/geiant
- Hosted endpoint
https://packagesmcp-perception-production.up.railway.app/mcp