Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
redact_previewA

Show what would be redacted and how the egress policy would rule — without sending anything or issuing an approval token.

ask_cloud_llmA

Send text to the cloud LLM through the privacy gateway.

The text is redacted first; then the deterministic policy decides. Possible status values: sent (redacted text was dispatched and the reply re-hydrated), blocked (a hard rule refused it), or needs_approval (call confirm_send with the returned confirmation_token).

confirm_sendA

Approve and release a payload the policy flagged for human approval. The token is single-use and time-limited.

get_audit_logA

Return the append-only log of every egress decision made this session.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
audit_log_resourceThe audit trail as a readable JSON resource.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jogustainsson/privacy-gateway-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server