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Glama
Koolercat

Decision State MCP

by Koolercat

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DECISION_STATE_DIRNoDirectory for decision state files. Default is .claude-state relative to working directory..claude-state

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": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_stateB

Return the current project state summary and record counts.

update_stateB

Apply a JSON merge patch to state.json and record why the state changed.

record_decisionC

Persist a structured decision and update recent_decisions.

record_evidenceC

Persist normalized evidence sources, findings, limitations, and confidence.

get_task_contextC

Return compact decision-relevant state for a specific task.

search_stateC

Search prior decisions and reflections by query text.

get_sessionA

Return the active session or a requested session record.

reflect_outcomeC

Record the outcome of a previous decision or implementation.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 8 tools

Disambiguation5/5

Each tool targets a distinct operation or entity: session, state, task context, decision, evidence, outcome, search, and state update. No two tools have overlapping purposes, ensuring clear differentiation for an agent.

Naming Consistency4/5

Most tools follow a verb_noun pattern with 'get_' for retrieval and 'record_' for persistence, but 'reflect_outcome' deviates from the 'record_' convention. Overall, the naming is predictable and readable.

Tool Count5/5

With 8 tools, the set is well-scoped for a decision state management server. Each tool serves a clear purpose without excess or deficiency.

Completeness4/5

The tools cover the core lifecycle: reading state, adding decisions/evidence/outcomes, searching, and updating. Minor gaps exist (e.g., no explicit get_decision or update/delete for decisions), but the surface is largely complete for the domain.

Maintenance

ActivityInactive
ResponsivenessNo issues