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Glama
qinpei-dev
by qinpei-dev

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
JEV_API_KEYNoYour own JEV API key from TypeSafe. If not set, the server runs in mock mode.

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
jev_decideD

Make a constrained decision with the JEV Decision Engine.

agent_runC

Run JEV skill selection followed by local Skill Executor execution.

list_skillsA

List skill names supported by this PermitMCP instance.

controlled_agent_runC

Run proposed local actions through policy, JEV, permits, and sandbox tools.

approve_actionC

Approve and resume one action currently waiting for caller review.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.8/5.0

Scored across 5 tools

Disambiguation4/5

list_skills and approve_action are clearly distinct, while jev_decide, agent_run, and controlled_agent_run overlap around JEV execution. The descriptions do differentiate the latter three by scope, but an agent must read carefully to choose between plain and controlled runs.

Naming Consistency3/5

All names use snake_case lower_case, but the structural pattern is mixed: list_skills and approve_action are verb_noun, jev_decide and agent_run invert to noun_verb, and controlled_agent_run adds an adjective. Readable, but not a predictable convention.

Tool Count5/5

Five tools is well-scoped for a JEV/PermitMCP agent server. Each tool maps to a distinct phase: list, decide, run, controlled run, and approve.

Completeness3/5

The core run-and-approve lifecycle is present, but obvious operations are missing: no reject/deny action, no list pending approvals, no action status query, and no skill detail lookup. These gaps create dead ends in the approval workflow.

Maintenance

ActivityMaintained
ResponsivenessNo issues