How do I install agentic-tools-mcp?

Its own README gives this command: npm install @pimzino/agentic-tools-mcp. Run it where your MCP client can launch the server, and check the README for any settings it asks for.

Is agentic-tools-mcp official and is it maintained?

We found nothing naming it as a vendor’s official server. Its repository has 88 GitHub stars and its state in our directory is stale. Its last commit we recorded was on 2025-06-20.

What licence does agentic-tools-mcp use?

The repository declares the MIT licence.

InfratoApp / Resources / MCP servers / agentic-tools-mcp

agentic-tools-mcp

agentic-tools-mcp is an MCP server, listed under project & docs. Its repository has 88 GitHub stars and is licensed under MIT; we last read it on 2026-10-22.

Provides AI assistants with task management and agent memory capabilities, connecting to a Model Context Protocol (MCP) server for project-specific storage.

Install

Read from agentic-tools-mcp’s own README, close to verbatim -- not written by us, and not guessed.

npm install @pimzino/agentic-tools-mcp

View in agentic-tools-mcp’s own README ↗

What it reaches, and what it needs

Reaches

○ not recognised

Credential

○ none found

Maintenance

Stars

State

stale

Licence

MIT

From the repository

A comprehensive Model Context Protocol (MCP) server providing AI assistants with powerful task management and agent memories capabilities with project-specific storage.

View on GitHub ↗2026-10-22

What agentic-tools-mcp can do

28 tools documented in its README. An AI client calls these by name.

list_projects: View all projects in a working directory
create_project: Create a new project in a working directory
get_project: Get detailed project information
update_project: Edit project name/description
delete_project: Delete project and all associated data
list_tasks: View tasks in hierarchical tree format with unlimited depth visualization
create_task: Create tasks at any hierarchy level with `parentId` (supports unlimited nesting)
get_task: Get detailed task information including hierarchy relationships
update_task: Edit tasks, metadata, or move between hierarchy levels with `parentId`
delete_task: Delete task and all child tasks recursively
move_task: Dedicated tool for moving tasks within hierarchy structure
migrate_subtasks: Automatic migration tool for converting legacy subtasks to unified model
parse_prd: Parse Product Requirements Documents and automatically generate structured tasks
get_next_task_recommendation: Get intelligent task recommendations based on dependencies, priorities, and complexity
analyze_task_complexity: Analyze task complexity and suggest breaking down overly complex tasks
infer_task_progress: Analyze codebase to infer task completion status from implementation evidence
research_task: Guide AI agents to perform comprehensive web research with memory integration
generate_research_queries: Generate intelligent, targeted web search queries for task research
list_subtasks: View child tasks (legacy compatibility, now uses unified Task model)
create_subtask: Create child tasks (legacy compatibility, creates tasks with `parentId`)
get_subtask: Get task information (legacy compatibility for existing subtasks)
update_subtask: Edit child tasks (legacy compatibility, uses unified Task operations)
delete_subtask: Delete child tasks (legacy compatibility, deletes tasks recursively)
create_memory: Create a memory
search_memories: Search memories
list_memories: List memories
update_memory: Update a memory
delete_memory: Delete a memory

Read from the README; names are kept only if the README contains them.