mcpField
G

governance-platform

Remote
@geodesiclabs.aiAI & Agents

About governance-platform

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts and replayable proof

Configuration

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

Endpointhttps://app.geodesiclabs.ai/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.

Tools

37
ParameterTypeRequiredDescription
api_keystringYesGeodesicAI API key (gai_...)
blueprintstringNoBlueprint name (workflow_name) to use
source_textanyNoOptional. The text of the document the fields were extracted from. When the Blueprint has a source check, extracted values are compared against this text. It is used for the check only and is not stored
structured_dataobjectYesThe document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked

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.