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Kemosabe0x

Sequential Thinking MCP Server

by Kemosabe0x
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TypeScript
Hybrid

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.6.2

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion between tools. The tool's purpose is clear and distinct.

    Naming Consistency5/5

    With a single tool, naming consistency is inherently perfect. The name 'sequentialthinking' is descriptive and follows a clear pattern.

    Tool Count3/5

    A single tool is borderline for a server; while the tool is comprehensive, the server's scope would typically benefit from multiple focused tools.

    Completeness5/5

    The tool covers the full sequential thinking process with parameters for revision, branching, and verification, leaving no obvious gaps for its stated purpose.

  • Average 4.3/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 3 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under Inno Setup License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

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Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior4/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    Annotations indicate read-only and idempotent behavior. The description adds valuable behavioral traits: iterative reasoning, hypothesis generation and verification, ability to revise and branch, and handling uncertainty. This goes beyond annotations without contradicting them.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness3/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is well-structured with clear sections and front-loaded purpose, but it is verbose. Some repetitions (e.g., 'Generate a solution hypothesis' appears twice) and the numbered list of steps adds length. Could be tightened without losing substance.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's cognitive nature, 9 parameters (3 required), full schema coverage, and an output schema, the description comprehensively covers usage contexts, parameter explanations, key features, and step-by-step instructions. It leaves no critical gaps for an AI agent.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100%, and the description expands on each parameter in the 'Parameters explained' section, providing examples and context (e.g., 'thought' can include revisions, questions, etc.). This adds meaningful guidance beyond the schema descriptions.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states it's a tool for 'dynamic and reflective problem-solving through thoughts' with a specific verb 'analyze' and resource 'thoughts'. It outlines a flexible thinking process with building, questioning, and revision capabilities. Since there are no sibling tools, differentiation is not needed.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description includes a 'When to use this tool' section with explicit contexts (e.g., breaking down complex problems, planning with room for revision, analysis needing course correction). It does not explicitly state when not to use it, but the contexts are clear and no alternatives exist, so it meets a high standard.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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