Skip to main content

MCP Agile Flow

MIT License

2

Overview InspectNew Endpoints Schema Related Servers Reviews Score

Need Help?View Source Code Report Issue

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Schema

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Tools

Functions exposed to the LLM to take actions

Name	Description
get_project_settings	Get the project settings for the current working directory or a proposed path. Returns configuration settings including project path, type, and metadata. If proposed_path is not provided or invalid, uses the current directory.
think	Record a thought for later reference and analysis. This tool allows you to record thoughts during development or analysis processes. Thoughts can be organized by category and depth to create a hierarchical structure of analysis.
get_thoughts	Retrieve recorded thoughts. This tool retrieves all previously recorded thoughts, optionally filtered by category. You can also choose to organize them hierarchically by depth.
clear_thoughts	Clear recorded thoughts. This tool removes previously recorded thoughts, optionally filtered by category. If no category is specified, all thoughts will be cleared.
get_thought_stats	Get statistics about recorded thoughts. This tool provides statistics about recorded thoughts, such as count and depth distribution. Results can be filtered by category.
detect_thinking_directive	Detect thinking directives. This tool analyzes text to detect directives suggesting deeper thinking, such as "think harder", "think deeper", "think again", etc.
should_think	Assess whether deeper thinking is needed for a query. This tool analyzes a query to determine if it requires deeper thinking, based on complexity indicators and context.
think_more	Get guidance for thinking more deeply. This tool provides suggestions and guidance for thinking more deeply about a specific query or thought.
initialize_ide	Initialize IDE project structure with appropriate directories and config files. This tool sets up the necessary directories and configuration files for IDE integration, including .ai-templates directory and IDE-specific rules. Note: If project_path is omitted, not a string, invalid, or the directory doesn't exist, the current working directory will be used automatically.
initialize_ide_rules	Initialize IDE rules for a project. This tool sets up IDE-specific rules for a project, creating the necessary files and directories for AI assistants to understand project conventions. Note: If project_path is omitted, not a string, or invalid, the current working directory will be used automatically.
prime_context	Prime project context by analyzing documentation and structure. This tool analyzes the project structure and documentation to provide context information for AI assistants working with the project. Note: If project_path is omitted, not a string, or invalid, the current working directory will be used automatically.
migrate_mcp_config	Migrate MCP configuration between different IDEs. This tool helps migrate configuration and rules between different IDEs, ensuring consistent AI assistance across different environments. Note: If project_path is omitted, not a string, or invalid, the current working directory will be used automatically.
process_natural_language	Process natural language command and route to appropriate tool. This tool takes a natural language query and determines which tool to call with what parameters, providing a way to interact with the MCP Agile Flow tools using natural language.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/smian0/mcp-agile-flow'

If you have feedback or need assistance with the MCP directory API, please join our Discord server