Planner MCP Server
A server for creating and managing plans with steps, enabling users to break down complex tasks into manageable steps and track progress.
README
Planner MCP Server
A Model Context Protocol server for creating and managing plans with steps. This server helps break down complex tasks into manageable steps and track their progress.
Features
Plans
- Create and manage plans with descriptive names and detailed descriptions
- Each plan contains ordered steps with clear completion conditions
- Track plan progress through active steps
- Plans maintain a history of completed and failed steps
- Paginated listing of plans (10 per page), ordered by creation date (newest first)
- Automatic tracking of creation dates with user-friendly formatting (e.g., "just now", "2 hours ago", "yesterday")
Steps
- Create specific, measurable steps with clear completion conditions
- Track step status (in_progress, completed, failed)
- Automatic step progression on completion
- Ability to handle step failures with alternative approaches
Tools
create_plan
Creates a new plan with a descriptive name and description.
- Parameters:
name: string - Name of the plandescription: string - Detailed description of the plan and its objectives
- Returns: Plan details including ID, name, description, and status
list_plans
Lists all available plans with their current status and active steps, ordered by creation date (newest first). Results are paginated with 10 plans per page. Returns a helpful message if no plans exist.
- Parameters:
page: number (optional) - Page number to retrieve (1-based, defaults to 1)
- Returns:
- Array of plans with their details (or a message if no plans exist)
- Current page number
- Total number of pages
- Whether there is a next page available
create_step
Adds a new step to a plan. Steps should be specific, measurable actions that contribute to the plan's completion.
- Parameters:
plan_id: string - ID of the plandescription: string - Step descriptioncompletion_condition: string - Clear condition that must be met to consider this step complete
- Returns: Created step details
get_active_step
Gets the current active step of a plan.
- Parameters:
plan_id: string - ID of the plan
- Returns: Active step details if exists
complete_step
Marks a step as completed and automatically advances to the next step.
- Parameters:
step_id: string - ID of the step to complete
- Returns: Next step details if available
fail_step
Marks the current active step as failed and creates a new alternative step.
- Parameters:
step_id: string - ID of the active step to mark as failednew_step_description: string - Description of the new alternative stepnew_step_completion_condition: string - Completion condition for the new alternative step
- Returns: Failed step ID and new step details
- Note: Can only fail the current active step
list_steps
Lists all steps in a plan in their execution order.
- Parameters:
plan_id: string - ID of the plan
- Returns: Array of steps with their details
export_plan
Exports a plan to markdown format including all steps and their status. The output will be formatted as a markdown document suitable for sharing or documentation purposes.
- Parameters:
plan_id: string - ID of the plan to export
- Returns:
- Object containing:
markdown: string - Markdown formatted content of the exported plan- Includes plan details, status, and all steps with their descriptions and completion conditions
- Steps are ordered by their execution sequence
- Object containing:
Database Schema
Plans Table
id: TEXT PRIMARY KEYname: TEXT NOT NULLdescription: TEXT NOT NULLcreated_at: DATETIMEactive_step_id: TEXT
Steps Table
id: TEXT PRIMARY KEYplan_id: TEXT NOT NULLdescription: TEXT NOT NULLcompletion_condition: TEXT NOT NULLstatus: TEXT (in_progress, completed, failed)step_order: INTEGER NOT NULLcreated_at: DATETIME- FOREIGN KEY(plan_id) REFERENCES plans(id)
Development
Installation
npm install
Build
npm run build
Development Watch Mode
npm run watch
Debugging
Use the MCP Inspector:
npm run inspector
Best Practices
Creating Plans
- Provide clear, descriptive names
- Include detailed descriptions of objectives
- Break down into multiple specific steps
- Avoid creating plans with single steps
Creating Steps
- Make steps specific and measurable
- Define clear completion conditions
- Keep steps focused on single objectives
- Use testable completion conditions (e.g., "API endpoint returns 200 status code")
Managing Progress
- Complete steps only when completion conditions are met
- When a step fails, provide a clear alternative approach
- Review step history to identify patterns in successes and failures
Contribution Guidelines
- Fork the repository
- Create a feature branch
- Submit a pull request
- Include tests for new features
- Update documentation
- Follow existing code style
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.