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Glama
younis-ali

Sequential Thinking MCP Server

by younis-ali
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

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
sequential_thinkingC
Facilitates a step-by-step thinking process for problem-solving with self-reflection.

Args:
    thought: The current thinking step
    nextThoughtNeeded: Whether another thought step is needed
    thoughtNumber: Current thought number
    totalThoughts: Estimated total thoughts needed
    sessionId: Unique identifier for the thinking session
    isRevision: Whether this revises a previous thought
    revisesThought: Which thought number is being revised
    branchFromThought: Thought number to branch from
    branchId: Identifier for the branch
    needsMoreThoughts: If more thoughts are needed beyond totalThoughts
    reflectionNeeded: Whether to perform self-reflection on the thought
    reflectionStrategy: Type of reflection (e.g., error_analysis)
    performanceFeedback: Feedback on thought effectiveness (e.g., correct/incorrect)

Returns:
    A summary of the current thinking state or an error message

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no risk of ambiguity or confusion between tools.

Naming Consistency5/5

With a single tool, naming consistency is trivially maintained; the name 'sequential_thinking' is clear and descriptive.

Tool Count2/5

Having only one tool for a complex process like sequential thinking is minimal. While the tool is parameter-rich, it bundles multiple concerns (revision, branching, reflection) into a single action, which could be split into separate tools for better modularity.

Completeness4/5

The single tool covers a wide range of operations (thought addition, revision, branching, reflection) via its parameters, making it functionally complete for its domain. However, the lack of separate tools for distinct operations could lead to confusion about which parameters to set.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources