Sequential Thinking
OfficialProvides a structured thinking tool that helps break down complex problems into manageable steps and explore multiple reasoning approaches. Enables dynamic problem-solving through iterative refinement and reflection.
Implements a structured sequential thinking process for breaking down complex problems, iteratively refining solutions, and exploring multiple reasoning paths. An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
What it does
- Break down complex problems into structured steps
- Explore multiple reasoning paths for solutions
- Refine solutions through iterative thinking
- Apply reflective problem-solving processes
- Analyze problems through flexible thinking frameworks
Best for
About Sequential Thinking
Sequential Thinking is an official MCP server published by anthropic that provides AI assistants with tools and capabilities via the Model Context Protocol. Break down complex problems with Sequential Thinking, a structured tool and step by step math solver for dynamic, reflec This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
How to install
You can install Sequential Thinking in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
License
Sequential Thinking is released under the NOASSERTION license.
Tools (1)
A detailed tool for dynamic and reflective problem-solving through thoughts. This tool helps analyze problems through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - Breaking down complex problems into steps - Planning and design with room for revision - Analysis that might need course correction - Problems where the full scope might not be clear initially - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Generates a solution hypothesis - Verifies the hypothesis based on the Chain of Thought steps - Repeats the process until satisfied - Provides a correct answer Parameters explained: - thought: Your current thinking step, which can include: * Regular analytical steps * Revisions of previous thoughts * Questions about previous decisions * Realizations about needing more analysis * Changes in approach * Hypothesis generation * Hypothesis verification - nextThoughtNeeded: True if you need more thinking, even if at what seemed like the end - thoughtNumber: Current number in sequence (can go beyond initial total if needed) - totalThoughts: Current estimate of thoughts needed (can be adjusted up/down) - isRevision: A boolean indicating if this thought revises previous thinking - revisesThought: If is_revision is true, which thought number is being reconsidered - branchFromThought: If branching, which thought number is the branching point - branchId: Identifier for the current branch (if any) - needsMoreThoughts: If reaching end but realizing more thoughts needed You should: 1. Start with an initial estimate of needed thoughts, but be ready to adjust 2. Feel free to question or revise previous thoughts 3. Don't hesitate to add more thoughts if needed, even at the "end" 4. Express uncertainty when present 5. Mark thoughts that revise previous thinking or branch into new paths 6. Ignore information that is irrelevant to the current step 7. Generate a solution hypothesis when appropriate 8. Verify the hypothesis based on the Chain of Thought steps 9. Repeat the process until satisfied with the solution 10. Provide a single, ideally correct answer as the final output 11. Only set nextThoughtNeeded to false when truly done and a satisfactory answer is reached
Model Context Protocol servers
This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources.
[!IMPORTANT] If you are looking for a list of MCP servers, you can browse published servers on the MCP Registry. The repository served by this README is dedicated to housing just the small number of reference servers maintained by the MCP steering group.
[!WARNING] The servers in this repository are intended as reference implementations to demonstrate MCP features and SDK usage. They are meant to serve as educational examples for developers building their own MCP servers, not as production-ready solutions. Developers should evaluate their own security requirements and implement appropriate safeguards based on their specific threat model and use case.
The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources. Typically, each MCP server is implemented with an MCP SDK:
- C# MCP SDK
- Go MCP SDK
- Java MCP SDK
- Kotlin MCP SDK
- PHP MCP SDK
- Python MCP SDK
- Ruby MCP SDK
- Rust MCP SDK
- Swift MCP SDK
- TypeScript MCP SDK
🌟 Reference Servers
These servers aim to demonstrate MCP features and the official SDKs.
- Everything - Reference / test server with prompts, resources, and tools.
- Fetch - Web content fetching and conversion for efficient LLM usage.
- Filesystem - Secure file operations with configurable access controls.
- Git - Tools to read, search, and manipulate Git repositories.
- Memory - Knowledge graph-based persistent memory system.
- Sequential Thinking - Dynamic and reflective problem-solving through thought sequences.
- Time - Time and timezone conversion capabilities.
Archived
The following reference servers are now archived and can be found at servers-archived.
- AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
- Brave Search - Web and local search using Brave's Search API. Has been replaced by the official server.
- EverArt - AI image generation using various models.
- GitHub - Repository management, file operations, and GitHub API integration.
- GitLab - GitLab API, enabling project management.
- Google Drive - File access and search capabilities for Google Drive.
- Google Maps - Location services, directions, and place details.
- PostgreSQL - Read-only database access with schema inspection.
- Puppeteer - Browser automation and web scraping.
- Redis - Interact with Redis key-value stores.
- Sentry - Retrieving and analyzing issues from Sentry.io.
- Slack - Channel management and messaging capabilities. Now maintained by Zencoder
- SQLite - Database interaction and business intelligence capabilities.
🤝 Third-Party Servers
[!NOTE] The server lists in this README are no longer maintained and will eventually be removed.
🎖️ Official Integrations
Official integrations are maintained by companies building production ready MCP servers for their platforms.
21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers.
2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention.
ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API.
Adfin - The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with Adfin.
AgentOps - Provide observability and tracing for debugging AI agents with AgentOps API.
AgentQL - Enable AI agents to get structured data from unstructured web with AgentQL.AgentRPC - Connect to any function, any language, across network boundaries using AgentRPC.
- Agentset - RAG for your knowledge base connected to Agentset.
Airwallex Developer - Empowers AI coding agents with the tools they need to assist developers integrating with Airwallex APIs
Aiven - Navigate your Aiven projects and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services
Alation - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server.
Alby Bitcoin Payments - Connect any bitcoin lightning wallet to your agent to send and receive instant payments globally with your agent.- Algolia - Use AI agents to provision, configure, and query your Algolia search indices.
Alibaba Cloud AnalyticDB for MySQL - Connect to an AnalyticDB for MySQL cluster for getting database or table metadata, querying and analyzing data. It will be supported to add the OpenAPI for cluster operation in the future.
Alibaba Cloud AnalyticDB for PostgreSQL - An MCP server to connect to AnalyticDB for PostgreSQL instances, query and analyze data.
**[Alibaba Cloud DataWorks](https://github.com/aliyun/alib
README truncated. View full README on GitHub.
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