mcpField
K

Kviria

Remote
kviria.comMaps & Travel

About Kviria

Location understanding for AI agents: know where, then navigate there. Beta: contiguous US

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.kviria.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://api.kviria.com/mcpAuth required

Tools

1
ParameterTypeRequiredDescription
statestringNoThe `state` field of the previous kviria response, copied character for character: that field only, never the whole response, and never shortened. Empty string on the first call.
anchorobjectNoThe user's current position - Kviria resolves relative to this point. Required on the first call of a conversation; later calls may leave it out while the user has not moved.
anchor.latnumberYesWGS 84 latitude
anchor.lngnumberYesWGS 84 longitude
rangeMintegerNoSearch radius around the anchor in meters (clamped to 50-350).
transcriptstringYesThe user's whole last turn, word for word: yes or no, corrections, hesitations and everything around the place included. Never shorten, rephrase, correct or complete it. If one turn arrived in pieces, join them in order.
confirmationenumNo"on" (default): a place the user named only in part is returned as one_unconfirmed, and its coordinate is released only after the user verifies it. "off": it is returned as one immediately, for agents without a human in the loop.on | off

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.