AI & Research Stateless MCP v2 Verified

GeoSolver Reverse Image Location

Created by GeoSolver

Hosted MCP server analyzing visual clues such as road signs, terrain, and architecture to generate photo geolocation hypotheses for geography learning and lawful OSINT.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:
Fetch and configure Model Context Protocol (MCP) server GeoSolver Reverse Image Location from https://www.fastmcp.dev/server/geosolver-reverse-image-location

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:
https://reverseimagelocation.com/mcp

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:
claude mcp add --transport http sub_au2mhn1t https://reverseimagelocation.com/mcp

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:
[mcp_servers.sub_au2mhn1t] url = "https://reverseimagelocation.com/mcp"

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:
{ "mcpServers": { "sub_au2mhn1t": { "type": "http", "url": "https://reverseimagelocation.com/mcp" } } }

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:
npx skills add https://reverseimagelocation.com

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant
GeoSolver Reverse Image Location: Analyze photo visual cues over hosted MCP with Bearer credentials to produce geolocation hypotheses requiring independent map verification.

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions
01 Analyze terrain, signage, and architectural clues
02 Generate map-ready photo geolocation hypotheses
03 Support geography research and lawful OSINT