mcp-sequentialthinking-qa
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-sequentialthinking-qaBreak down the verification of the checkout process"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-sequentialthinking-qa
An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in QA and verification processes. This server helps break down verification tasks into manageable steps and provides LLM-driven recommendations for which MCP tools would be most effective at each stage.
A Model Context Protocol (MCP) server that combines sequential thinking with intelligent tool suggestions for QA tasks. For each step in the verification process, it provides confidence-scored recommendations for which tools to use, along with rationale for why each tool would be appropriate.
Features
🤔 Dynamic and reflective QA problem-solving through sequential thoughts
🔄 Flexible verification process that adapts and evolves
🌳 Support for branching and revision of thoughts
🛠️ LLM-driven intelligent tool recommendations for QA tasks
📊 Confidence scoring for tool suggestions
🔍 Detailed rationale for tool recommendations
📝 Step tracking with expected outcomes
🔄 Progress monitoring with previous and remaining steps
🎯 Alternative tool suggestions for each step
🧠 Memory management with configurable history limits
🗑️ Manual history cleanup capabilities
Related MCP server: Execution Journal
How It Works
This server facilitates sequential thinking with MCP tool coordination for QA and verification tasks. The LLM analyzes available tools and their descriptions to make intelligent recommendations for verification processes, which are then tracked and organized by this server.
The workflow:
LLM provides available MCP tools to the sequential thinking QA server
LLM analyzes each verification step and recommends appropriate tools
Server tracks recommendations, maintains context, and manages memory
LLM executes recommended tools and continues the verification process
Each recommendation includes:
A confidence score (0-1) indicating how well the tool matches the verification need
A clear rationale explaining why the tool would be helpful for this QA step
A priority level to suggest tool execution order
Suggested input parameters for the tool
Alternative tools that could also be used
The server works with any MCP tools available in your environment and automatically manages memory to prevent unbounded growth.
Example Usage
Here's an example of how the server guides tool usage for QA verification:
{
"available_mcp_tools": [
"mcp-filesystem",
"mcp-playwright",
"mcp-omnisearch"
],
"thought": "Need to verify package version compatibility before implementing configuration",
"verification_target": "package version compatibility",
"current_step": {
"step_description": "Check installed package version in package.json",
"expected_outcome": "Confirmed package version and dependencies",
"recommended_tools": [
{
"tool_name": "read_file",
"confidence": 0.95,
"rationale": "Examine package.json to determine installed version and dependencies",
"priority": 1,
"suggested_inputs": {
"path": "package.json"
}
},
{
"tool_name": "execute_command",
"confidence": 0.75,
"rationale": "Run npm list to verify actually installed versions",
"priority": 2,
"alternatives": ["pnpm list", "yarn list"]
}
],
"next_step_conditions": [
"Version identified",
"Dependencies verified",
"Check for breaking changes between versions"
]
},
"thought_number": 1,
"total_thoughts": 4,
"next_thought_needed": true
}The server tracks your progress and supports:
Creating branches to explore different verification approaches
Revising previous thoughts with new information
Maintaining context across multiple verification steps
Suggesting next steps based on current findings
Adapting to the specific tools available in your environment
Configuration
This server requires configuration through your MCP client. Here are examples for different environments:
Cline Configuration
Add this to your Cline MCP settings:
{
"mcpServers": {
"mcp-sequentialthinking-qa": {
"command": "npx",
"args": ["-y", "mcp-sequentialthinking-qa"],
"env": {
"MAX_HISTORY_SIZE": "1000"
}
}
}
}Claude Desktop with WSL Configuration
For WSL environments, add this to your Claude Desktop configuration:
{
"mcpServers": {
"mcp-sequentialthinking-qa": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"MAX_HISTORY_SIZE=1000 source ~/.nvm/nvm.sh && /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-sequentialthinking-qa"
]
}
}
}API
The server implements a single MCP tool with configurable parameters:
sequentialthinking_qa
A tool for QA-focused sequential thinking with intelligent tool recommendations for verification tasks.
Parameters:
available_mcp_tools(array, required): Array of MCP tool names available for use (e.g., ["mcp-omnisearch", "mcp-playwright", "mcp-filesystem"])thought(string, required): Your current thinking step in the QA processnext_thought_needed(boolean, required): Whether another thought step is neededthought_number(integer, required): Current thought numbertotal_thoughts(integer, required): Estimated total thoughts neededverification_target(string, optional): What's being verified (code, config, package version, etc.)is_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
Memory Management
The server includes built-in memory management to prevent unbounded growth:
History Limit: Configurable maximum number of thoughts to retain (default: 1000)
Automatic Trimming: History automatically trims when limit is exceeded
Manual Cleanup: Server provides methods to clear history when needed
Configuring History Size
You can configure the history size by setting the MAX_HISTORY_SIZE
environment variable:
{
"mcpServers": {
"mcp-sequentialthinking-qa": {
"command": "npx",
"args": ["-y", "mcp-sequentialthinking-qa"],
"env": {
"MAX_HISTORY_SIZE": "500"
}
}
}
}Or for local development:
MAX_HISTORY_SIZE=2000 npx mcp-sequentialthinking-qaDevelopment
Setup
Clone the repository
Install dependencies:
pnpm installBuild the project:
pnpm buildRun in development mode:
pnpm devPublishing
The project uses changesets for version management. To publish:
Create a changeset:
pnpm changesetVersion the package:
pnpm changeset versionPublish to npm:
pnpm releaseContributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT License - see the LICENSE file for details.
Acknowledgments
Built on the Model Context Protocol
Adapted from the MCP Sequential Thinking Server
Inspired by mcp-sequentialthinking-tools
Available Tools
1 toolsequentialthinking_qaSequential thinking for QA verification with tool recommendations.D
Sequential thinking for QA verification with tool recommendations.
| Name | Required | Description | Default |
|---|---|---|---|
| thought | Yes | Current thinking step | |
| branch_id | No | Branch ID | |
| is_revision | No | Is revision | |
| current_step | No | Current step | |
| previous_steps | No | Previous steps | |
| thought_number | Yes | Current thought number | |
| total_thoughts | Yes | Total thoughts | |
| remaining_steps | No | Remaining steps | |
| revises_thought | No | Revises thought number | |
| available_mcp_tools | Yes | Available tool names | |
| branch_from_thought | No | Branch from thought | |
| needs_more_thoughts | No | Needs more thoughts | |
| next_thought_needed | Yes | More thoughts needed | |
| verification_target | No | What is being verified |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavior. It fails to mention any side effects, authorization needs, state changes, or output characteristics. The description is purely functional, offering no behavioral insight.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is only one sentence, which is concise but under-specified. It omits critical information, making it insufficient for a tool with 14 parameters and nested objects. Front-loading is irrelevant when so little content exists.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (14 parameters, nested structures, no output schema), the description is woefully incomplete. It does not explain the workflow, how steps relate, or what the tool returns. An agent would lack essential context to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides, so it neither enhances nor detracts from parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tautological: description restates name/title.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives or in what contexts. There is no mention of prerequisites, conditions, or exclusions, leaving the agent without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v0.0.2- First observed
sequentialthinking_qa
TDQS
With only one tool, there is no possibility of confusion or overlap between tools. The single tool has a clearly distinct purpose.
The tool name 'sequentialthinking_qa' uses clear snake_case and descriptive terms. With no other tools, consistency is not an issue.
A single tool is insufficient for a QA verification server. While focused, it lacks necessary coverage for common QA operations, making it feel thin.
The server only provides a single tool for sequential thinking, missing obvious operations like running tests, checking results, or managing test cases. This severely limits its utility for QA workflows.
Maintenance
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