"sequential thinking" matching MCP servers:

Enables complete Minto pyramid analysis through a 6-phase pipeline with sequential thinking, evidence gathering, and structured outputs.

An MCP server implementation that leverages Google's Gemini API to provide analytical problem-solving capabilities through sequential thinking steps without code generation.

An open-source deep research MCP server that provides multi-source web search and synthesis with citations, enabling agents to perform citation-backed research using Qwen3-30B-A3B-Thinking and other models.

Provides a tool for dynamic and reflective problem-solving by breaking complex problems into manageable steps with support for revision, branching, and hypothesis generation.

A minimal, token-efficient MCP server that combines stock prices and fundamentals with the macro and micro narrative around them — so an AI agent can reason about why a stock moved, what people are thinking about it, and what probable scenarios lie ahead.

An MCP server for navigating thought processes using branches, supporting thought cross-references and priority tracking to enhance insight generation and structured idea exploration.

Enables formal logical reasoning, mathematical problem-solving, and proof construction across 11 logic systems including propositional, predicate, modal, fuzzy, and probabilistic logic. Integrates external solvers (Z3, ProbLog, Clingo) for advanced reasoning, with support for proof storage, argument scoring, and cross-system translation.

Enables Codex to delegate deep research, PRD drafting, design thinking, and current-information lookups to ChatGPT Web/App via a local MCP connector, saving Markdown results to the filesystem.

A research tool that performs comprehensive, in-depth research on complex topics by combining sequential thinking with Brave Search capabilities to provide detailed, well-sourced reports.

Provides five rigorous reasoning protocols (debate, red team, audit_argument, threat_model, check_study) that run on the AI you're already using, requiring no extra API keys or costs.

Provides cognitive tools for critical thinking and multi-perspective analysis of current affairs through structured prompts, including claim deconstruction, perspective comparison, and analysis through 9 analytical lenses (historical, economic, geopolitical, etc.).

Enables searching and accessing ArXiv research papers with advanced query capabilities, and provides sequential thinking tools for structured problem-solving. Supports Boolean operators, field-specific searches, author lookups, and dynamic thought processes through a modular Docker-based architecture.

Orchestrates sequential debates between multiple AI models across four phases (constructive, challenge, closing, synthesis) with host intervention and anti-sycophancy enforcement.

A stage-gated MCP server for processing academic papers, enabling sequential extraction of paper sections, methodology, results, and report generation through a controlled workflow with enforced tool visibility across stages.

MindBase implements Karpathy's "LLM wiki" pattern as an MCP server. Instead of retrieving chunks at query time (RAG), the LLM maintains a persistent wiki between your conversations: it reads every source you feed it, cross-references pages with [[wikilinks]], flags contradictions between sources, and keeps a context.md that reflects your current synthesized thinking.