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Glama
devLlama

ephemeral-reasoning-mcp

by devLlama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DEEPSOLVE_MODELNoModel used for planning, workspaces, and verificationclaude-sonnet-4-6
ANTHROPIC_API_KEYYesYour Anthropic API key

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
deep_solveA

Break a problem into ordered dependency-based steps, reason through each step in a fresh disposable workspace, and return a compressed final answer.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion with other tools. The tool's purpose is clearly described, making its selection unambiguous.

Naming Consistency5/5

The single tool name 'deep_solve' is descriptive and consistent in style, even though there is no pattern to compare against. Naming is not chaotic or mixed.

Tool Count3/5

A single tool is borderline thin for a reasoning server, but the tool is comprehensive and handles the full workflow. It fits the '1-2 tools feels thin' borderline category.

Completeness5/5

The tool covers the entire reasoning process from problem breakdown to step-by-step solving and final answer. No obvious gaps are apparent for the stated purpose.