Check if database connection is valid

Add a new memory to the database with enhanced features

Start a new session, auto-detecting or creating project

Add a new task

Estimate token count for text

Retrieve tasks with optional filters

Automatically learn project conventions from files and environment

Simple text search in memories

Update task status

Generate embedding vector for text

Create a compressed context summary

Generate unique ID

Get formatted memory context for AI prompt

Load relevant memories for current context

Calculate cosine similarity between two embeddings

Add a step to the thinking chain

Close database connection

Create a new chat session for conversation continuity

Create a new sequential thinking chain

Extract meaningful title from content

Get comprehensive database statistics

Retrieve memories with optional filters

Get a formatted summary of project conventions for AI context

Get a summary of project statistics with all string values

Convert to dictionary for JSON serialization

Automatically create relationships between memories

Detect project type from files

Create tables for sequential thinking if they don't exist

Extract pending actions from content

Extract decisions made from content

Extract key points from content using pattern matching

Generate a hash for content to detect duplicates

Get OS-specific preferred commands

Learn project-specific commands

Learn dependency management patterns

Learn deployment and build patterns

Learn operating system and environment details

Learn testing frameworks and patterns

Learn development tools used in the project

Migrate database schema to add new columns if they don't exist

Store learned conventions as project memories

Enhanced automatic task creation with better detection and project creation

Enhanced memory classification with better patterns

Clean up old memories, logs, and completed tasks

Consolidate a chat session into a summary for continuation

Create a new project based on user prompt/description

Create all necessary tables for the MCP memory system

Auto-detect project name from path or workspace

Extract a meaningful project name from user prompt

Generate project description from available information

Get existing project or create new one

Get optimized context for continuing from a previous session

Generate task reminder for AI

Retrieve a complete thinking chain

Get summary of recent thinking chains

Initialize session on server startup

Check if the content looks like a new project request

Main server entry point

Analyze and optimize memory storage by removing duplicates

Create database connection and initialize tables

Suggest correct project-specific command based on user input

Initialize database connection and create tables if they don't exist

Parse Cargo.toml for Rust project commands

Parse Makefile for make targets

Parse package.json for npm scripts

Parse pyproject.toml for Python project commands

Add a new memory to the database

Add a new notification

Add a relationship in the knowledge graph

Add a step to an existing thinking chain

Automatically learn and remember project-specific conventions, commands, and environment details

Automatically process conversation content to extract memories and tasks

Clean up old memories, logs, and completed tasks

Clear notifications (optionally for a specific project)

Consolidate the current session into a summary for continuation

Create a compressed summary of context to save tokens

Create a new task for the current project

Decompose a complex prompt into parent task and subtasks

Estimate token count for given text

Get comprehensive database statistics

Get current memory context and task reminders for the AI

Retrieve notifications with optional filters

Get optimized context that fits within token limits

Get server performance statistics

Get current project conventions and environment details for AI context

Get summary of the current project

Get all items related to a specific item

Get tasks for the current project

Retrieve a complete thinking chain with all steps

Check server health and database connectivity