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smian0

MCP Agile Flow

by smian0
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
get_project_settingsB
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.
thinkC

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_thoughtsB

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_thoughtsA

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_statsB

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_directiveB

Detect thinking directives.

This tool analyzes text to detect directives suggesting deeper thinking, such as "think harder", "think deeper", "think again", etc.

should_thinkC

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_moreC

Get guidance for thinking more deeply.

This tool provides suggestions and guidance for thinking more deeply about a specific query or thought.

initialize_ideB
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_rulesB
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_contextB
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_configB
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_languageA

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.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.1/5.0

Scored across 13 tools

Disambiguation3/5

The tools have some clear distinctions but significant overlap exists. Tools like think, think_more, should_think, and detect_thinking_directive all relate to thinking processes with unclear boundaries. Similarly, initialize_ide and initialize_ide_rules appear to serve very similar purposes. The descriptions help differentiate them somewhat, but an agent could easily misselect between these overlapping tools.

Naming Consistency4/5

The naming follows a consistent snake_case pattern throughout, which is good. Most tools use verb_noun or verb_adjective_noun patterns (e.g., clear_thoughts, get_project_settings). The main deviation is process_natural_language which uses a verb_adjective_noun pattern that still fits the overall style, keeping the naming mostly predictable and readable.

Tool Count4/5

With 13 tools, the count is reasonable for a server focused on agile development workflows and thinking assistance. It's slightly on the higher side but still manageable. The tools cover multiple aspects of the domain without feeling excessively bloated, though some consolidation might improve coherence.

Completeness3/5

The server covers thinking processes and IDE/project setup reasonably well, but there are notable gaps. For thinking workflows, there's good recording and analysis but limited action-oriented tools. For project management, there are initialization tools but no ongoing management, update, or collaboration features. The natural language processing tool provides routing but doesn't complete the surface for a comprehensive agile flow system.

Resources