Sequential Thinking
Dynamic and reflective problem-solving through thought sequences
Sequential Thinking MCP Server
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
Features
- Break down complex problems into manageable steps
- Revise and refine thoughts as understanding deepens
- Branch into alternative paths of reasoning
- Adjust the total number of thoughts dynamically
- Generate and verify solution hypotheses
Tool
sequential_thinking
Facilitates a detailed, step-by-step thinking process for problem-solving and analysis.
Inputs:
thought(string): The current thinking stepnextThoughtNeeded(boolean): Whether another thought step is neededthoughtNumber(integer): Current thought numbertotalThoughts(integer): Estimated total thoughts neededisRevision(boolean, optional): Whether this revises previous thinkingrevisesThought(integer, optional): Which thought is being reconsideredbranchFromThought(integer, optional): Branching point thought numberbranchId(string, optional): Branch identifierneedsMoreThoughts(boolean, optional): If more thoughts are needed
Usage
The Sequential Thinking tool is designed for:
- 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
- Tasks that need to maintain context over multiple steps
- Situations where irrelevant information needs to be filtered out
Configuration
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
npx
{
"mcpServers": {
"sequential-thinking": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}
docker
{
"mcpServers": {
"sequentialthinking": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp/sequentialthinking"
]
}
}
}
To disable logging of thought information set env var: DISABLE_THOUGHT_LOGGING to true.
Comment
Usage with VS Code
For quick installation, click one of the installation buttons below...
For manual installation, you can configure the MCP server using one of these methods:
Method 1: User Configuration (Recommended)
Add the configuration to your user-level MCP configuration file. Open the Command Palette (Ctrl + Shift + P) and run MCP: Open User Configuration. This will open your user mcp.json file where you can add the server configuration.
Method 2: Workspace Configuration
Alternatively, you can add the configuration to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.
For more details about MCP configuration in VS Code, see the official VS Code MCP documentation.
For NPX installation:
{
"servers": {
"sequential-thinking": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}
For Docker installation:
{
"servers": {
"sequential-thinking": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp/sequentialthinking"
]
}
}
}
Usage with Codex CLI
Run the following:
npx
codex mcp add sequential-thinking npx -y @modelcontextprotocol/server-sequential-thinking
Building
Docker:
docker build -t mcp/sequentialthinking -f src/sequentialthinking/Dockerfile .
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
เซิร์ฟเวอร์ที่เกี่ยวข้อง
roampal-core
Persistent memory for Claude Code with outcome-based learning. Tracks what helped vs failed, auto-injects context via hooks.
Claudesidian MCP
Integrates Model Context Protocol (MCP) with Obsidian, allowing AI assistants to interact with your notes and vault.
InDesign MCP Server
An MCP server for automating Adobe InDesign with ExtendScript.
Atlassian
Interact with Atlassian tools like Confluence and Jira.
SilverBullet MCP Server
An MCP server that enables LLMs and other clients to interact with your SilverBullet notes and data.
Candice AI - MCP
Automated document processing and extraction
Backcast MCP Server
The Outcome Backcasting MCP is a strategic planning tool that helps you work backwards from a desired future outcome to identify the specific steps, resources, and dependencies needed to achieve your goals. Unlike traditional forward planning, backcasting starts with your end goal and creates a reverse roadmap to get there.
Pleasanter MCP Server
An MCP server for interacting with the Pleasanter low-code/no-code business application platform.
Productive.io
Interact with the Productive.io API for project management and productivity tasks.
Issuebage MCP Server
digital badge issuing platform