Project MCP
An intent-based MCP server for automatically mapping natural language queries to the correct sources of project documents, supporting intelligent search, task management, and project document organization.
rating : 2.5 points
downloads : 0
What is Project MCP?
Project MCP is an intelligent Model Context Protocol server dedicated to managing and searching project documents. It uses natural language understanding technology to automatically recognize user query intentions and route queries to the correct document sources. This means that users can use natural language (such as 'How is the project status?' or 'View documents') without knowing the specific file paths or directory structures.How to use Project MCP?
Using Project MCP is very simple: First, install it via npm, then add the server configuration to the MCP configuration file. After the configuration is completed, the AI assistant (such as Claude Desktop) can automatically understand your project-related queries and search for the correct document sources. You just need to ask for project information as usual, and the server will automatically handle intent recognition and document search.Use cases
Project MCP is particularly suitable for the following scenarios: 1. Development teams need to quickly access project documents and status. 2. Project managers need to view project progress and to-do lists. 3. New team members need to understand the project architecture and decision records. 4. Scenarios that require automated project document search and management. 5. Users who want to interact with project documents using natural language.Main features
Intelligent intent mapping
Automatically recognize user query intentions and map natural language to the correct document sources. For example, when users say 'project', it searches the.project/ directory, root directory files, and the docs/ directory; when users say 'document', it only searches the docs/ directory.
Complete task management system
Provide a complete task workflow from planning to archiving: Roadmap → To-do list → Active tasks → Archive. Support task dependencies, priority sorting, and status tracking.
Automatic discovery and indexing
Automatically discover and index the project document structure, including the.project/ directory, root directory Markdown files, and the docs/ directory, without manual configuration of document sources.
37 dedicated tools
Provide 37 specially designed tools covering various aspects such as search, project management, to-do list management, task management, archiving, decision records, and quality checks.
Structured workflow
A clearly defined task management process: Planning (ROADMAP.md) → To-do list (BACKLOG.md) → Active tasks (todos/*.md) → Archive (archive/), ensuring orderly work.
Task dependency tracking
Support dependencies between tasks. The get_next_task tool only returns tasks whose dependencies are satisfied, ensuring the correct work order.
Advantages
Intelligent intent recognition: Users can use natural language without memorizing directory structures.
Zero-configuration startup: Automatically discover and index project documents, ready to use out of the box.
Complete workflow: A complete task management solution from planning to archiving.
Flexible document structure: Support custom document directories and working directories.
Rich toolset: 37 dedicated tools meet various project management needs.
Clear separation of responsibilities:.project/ is used for operational status, and docs/ is used for reference documents.
Limitations
Requires a Node.js environment: Must run in an environment that supports Node.js.
Learning curve: Need to understand the task management workflow and concepts.
File structure dependency: Depends on specific directory structures (such as.project/, docs/, etc.).
Initial setup: Although it is zero-configuration, still need to add the server to the MCP configuration.
Only supports Markdown: Mainly processes documents in Markdown format.
How to use
Install Project MCP
Install the Project MCP package globally or locally via npm.
Configure the MCP server
Add the Project MCP server configuration to the.mcp.json configuration file of the project.
Initialize the project structure
Use the init_project tool to create a standard project document structure.
Start using natural language queries
Now you can use natural language to query project information, such as 'How is the project status?' or 'View to-do items'.
Usage examples
Example 1: New team member learns about the project
A newly joined developer needs to quickly understand the project status, architecture, and current work priorities.
Example 2: Project manager checks progress
The project manager needs to view the overall project progress, blocking issues, and the next plan.
Example 3: Developer gets the next task
After completing the current task, the developer needs to know which task to handle next.
Example 4: Record technical decisions
The team needs to record important technical decisions and the reasons for the choices.
Frequently Asked Questions
What document formats does Project MCP support?
How to customize the document directory?
How does Project MCP handle task dependencies?
Is there a limit to the number of active tasks?
What is the difference between Project MCP and ordinary file search?
Do I need to manually create all project files?
Related resources
GitHub repository
Project source code, issue tracking, and contribution guidelines.
npm package page
npm package information and installation instructions.
Model Context Protocol official website
Official documentation and specifications of the MCP protocol.
Usage examples
Detailed usage examples and patterns.
Contribution guidelines
How to contribute code and documentation to the project.

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