An enhanced version of the original mcp-sequentialthinking-tools by Scott Spence, which was adapted from the MCP Sequential Thinking Server.
This enhanced edition transforms the original framework into an intelligent tool recommendation system with:
- 26 pre-configured tools including all Claude Code tools
- Automatic tool recommendations based on thought content
- Deep integration with Basic Memory MCP for knowledge management
- Pattern-based intelligence that suggests the right tools at the right time
- Context-aware caching with intelligent tool result management
- Performance metrics tracking for optimization insights
- 100% test coverage with comprehensive validation
Credits: Original repository by Scott Spence. Basic Memory tools from Basic Machines Co. Enhanced with permission.
I think the biggest benefit is the improved utilization of branching, revisiting, and thought revision. Thoughts are much more dynamic and intentional, spread out throughout the conversation at the correct time.
Of course, Claude Code already does a good job of tool function use, but with the integration of sequential thinking with explicit function calls for those tools makes everything more seamless and responses are significantly better.
There is also caching for tools and thoughts, session continuation and context management, and a bunch of other improvements.
I want to create separate config files for the most popular MCP tools with instructions for users on how to add the specific tool calls of the MCP in the config for ST. It's just an array so it would be simple, just have to identify all the MCPs and their tools, or just the MCPs themselves because agents will know what to do with them once recommended. I found the specific function/tool tools in the recommendation improves the responses and creates more of a seamless flow.
I would do this for other agents as well like Codex, Cline, Augment, etc.. I actually have a copy modified for Augment Code, going to make a branch for that soon.
- Auto-recommends tools based on your thought content (no manual specification needed!)
- 26 pre-integrated tools ready to use out of the box
- Intelligent pattern matching that understands context
- Basic Memory integration for persistent knowledge management
- Context-aware caching with TTL and size-based eviction
- Performance metrics collection for usage optimization
- Enhanced tool recommendations with contextual awareness
- File operations:
Read,Write,Edit,MultiEdit,LS,Glob,Grep - Execution:
Bash,Agent - Notebooks:
NotebookRead,NotebookEdit - Web:
WebFetch,WebSearch - Tasks:
TodoRead,TodoWrite - Special:
StickerRequest
mcp__basic-memory__write_note- Record knowledgemcp__basic-memory__read_note- Access saved informationmcp__basic-memory__search_notes- Search your knowledge basemcp__basic-memory__build_context- Follow knowledge connections- And more...
- π€ Dynamic and reflective problem-solving through sequential thoughts
- π Flexible thinking process that adapts and evolves
- π³ Support for branching and revision of thoughts
- π οΈ Automatic tool suggestions based on thought content
- π Pre-configured confidence scores for each tool
- π Context-aware rationale generation
- π Step tracking with expected outcomes
- π Progress monitoring with previous and remaining steps
- π― Intelligent alternative tool suggestions**
The original server provided a framework for tool recommendations but required manual tool specification.
This version automatically analyzes your thoughts and recommends appropriate tools:
// You think: "I need to save this important decision"
// Server automatically recommends: mcp__basic-memory__write_note (0.95 confidence)
// You think: "Search for all TODO comments"
// Server automatically recommends: Grep (0.85), Agent (0.75)
// You think: "I want some Claude stickers!"
// Server automatically recommends: StickerRequest (0.95)Each recommendation includes:
- Confidence score (0-1) based on pattern matching
- Clear rationale explaining why the tool fits
- Priority level for execution order
- Alternative tools that could also work
The enhanced pattern matching understands context like:
- "record", "save", "document" β Basic Memory write_note
- "read", "examine", "check" β Read tool
- "multiple edits" β MultiEdit tool
- "run", "execute" β Bash tool
Here's an example of how the server guides tool usage:
{
"thought": "Initial research step to understand what universal reactivity means in Svelte 5",
"current_step": {
"step_description": "Gather initial information about Svelte 5's universal reactivity",
"expected_outcome": "Clear understanding of universal reactivity concept",
"recommended_tools": [
{
"tool_name": "search_docs",
"confidence": 0.9,
"rationale": "Search Svelte documentation for official information",
"priority": 1
},
{
"tool_name": "tavily_search",
"confidence": 0.8,
"rationale": "Get additional context from reliable sources",
"priority": 2
}
],
"next_step_conditions": [
"Verify information accuracy",
"Look for implementation details"
]
},
"thought_number": 1,
"total_thoughts": 5,
"next_thought_needed": true
}The server tracks your progress and supports:
- Creating branches to explore different approaches
- Revising previous thoughts with new information
- Maintaining context across multiple steps
- Suggesting next steps based on current findings
This server requires configuration through your MCP client. Here are examples for different environments:
Add this to your Cline MCP settings:
{
"mcpServers": {
"mcp-sequentialthinking-tools": {
"command": "npx",
"args": ["-y", "mcp-sequentialthinking-tools"]
}
}
}For WSL environments, add this to your Claude Desktop configuration:
{
"mcpServers": {
"mcp-sequentialthinking-tools": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"source ~/.nvm/nvm.sh && /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-sequentialthinking-tools"
]
}
}
}The server implements a single MCP tool with configurable parameters:
A tool for dynamic and reflective problem-solving through thoughts, with intelligent tool recommendations.
Parameters:
thought(string, required): Your current thinking stepnext_thought_needed(boolean, required): Whether another thought step is neededthought_number(integer, required): Current thought numbertotal_thoughts(integer, required): Estimated total thoughts neededis_revision(boolean, optional): Whether this revises previous thinkingrevises_thought(integer, optional): Which thought is being reconsideredbranch_from_thought(integer, optional): Branching point thought numberbranch_id(string, optional): Branch identifierneeds_more_thoughts(boolean, optional): If more thoughts are neededcurrent_step(object, optional): Current step recommendation with:step_description: What needs to be donerecommended_tools: Array of tool recommendations with confidence scoresexpected_outcome: What to expect from this stepnext_step_conditions: Conditions for next step
previous_steps(array, optional): Steps already recommendedremaining_steps(array, optional): High-level descriptions of upcoming steps
- Clone the repository
- Install dependencies:
pnpm install- Build the project:
pnpm build- Run in development mode:
pnpm devThe project uses changesets for version management. To publish:
- Create a changeset:
pnpm changeset- Version the package:
pnpm changeset version- Publish to npm:
pnpm releaseContributions are welcome! Please feel free to submit a Pull Request.
MIT License - see the LICENSE file for details.
- Built on the Model Context Protocol
- Adapted from the MCP Sequential Thinking Server

