MIND

Personal knowledge graph AI memory. 15 tools, 89 actions. Emotional intelligence, CRM, social.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mind-2": {
      "command": "npx",
      "args": [
        "-y",
        "mind-2"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

@astramindapp/mcp-server

MIND MCP Server — The most complete AI memory layer available. 31 tools, 208 actions.

Your AI agents forget everything between sessions. MIND fixes that. Connect any MCP-compatible agent to your personal knowledge graph — with emotional intelligence, CRM, life management, social features, self-training, autonomous insights, and more.

31 Tools

Tool	Actions	What It Does
`mind_query`	1	Semantic search across your knowledge graph (5 search modes)
`mind_remember`	5	Store, search, get, list, delete — documents, entries, thoughts
`mind_context`	1	Load persistent identity, preferences, rules, priorities, recent activity
`mind_focuses`	5	Top-level Focus buckets that group Life projects
`mind_life`	16	Focus → Project → Outcome hierarchy + calendar + cross-account sharing + stats
`mind_tasks`	9	Assignable, completable, reportable work items on Life/CRM/agents or standalone
`mind_checklists`	9	Task-level checklists — templates, phase-bucketed steps, completion tracking
`mind_crm`	7	Contacts, pipeline, activity logging, interaction history
`mind_graph`	3	Graph stats, diagnostics, entity labels
`mind_admin`	11	User provisioning, Featured Minds Portal, tier/credit management (admin-only)
`mind_sense`	7	MINDsense emotional intelligence — state, signals, timeline, KG weights, spikes
`mind_research`	3	Launch and track autonomous deep research jobs
`mind_train`	7	Self-training sessions + save chats to knowledge graph
`mind_social`	14	Thoughts (posts), social feed, communities, likes, comments
`mind_profile`	9	Profile, custom system prompts, LLM model selection
`mind_insights`	7	Autonomous Learning Engine insights, weekly summaries, feedback
`mind_automate`	6	Scheduled automations, event triggers, execution history
`mind_notify`	4	Notifications, mark read, stats
`mind_folders`	7	Organize documents into folders (a presentation layer over the graph)
`mind_folder_routes`	4	Deterministic system-folder routing for auto-filed docs
`mind_folder_suggest`	1	Ask MIND which folder a piece of content belongs in
`mind_list_templates`	1	List the 16 MIND Front Layer template types
`mind_get_template`	1	Fetch the full markdown spec for one Front Layer template
`mind_save_typed`	1	Save a filled Front Layer document with its type tag
`mind_bootstrap_templates`	1	Seed all 16 Front Layer templates into a tenant
`mind_agents`	25	Admin-only Agent Command Center — registry, status, invoices, workflows
`mind_tickets`	7	Agent ticket queue — file, triage, resolve client feedback/bugs
`mind_accounts`	6	Manage multi-MIND accounts — list, create, delete, members, grant, invite
`mind_social_analytics`	6	YouTube/LinkedIn/X/Twitch channel analytics from the Social Dashboard
`mind_personas`	17	Influencer Factory Command Center — synthetic personas across Blotato platforms (admin-only)
`mind_osint`	7	Operate Ozzie, the autonomous OSINT analyst — investigate targets, monitors, watchlists

Quick Start

1. Get a MIND API Key

2. Install

Terminal

npm install -g @astramindapp/mcp-server

3. Configure Your AI Tool

Claude Code

Terminal

claude mcp add mind -- env MIND_API_KEY=mind_xxx mind-mcp

Claude Desktop

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "mind": {
      "command": "mind-mcp",
      "env": {
        "MIND_API_KEY": "mind_your_key_here"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

config.json

{
  "mcpServers": {
    "mind": {
      "command": "mind-mcp",
      "env": {
        "MIND_API_KEY": "mind_your_key_here"
      }
    }
  }
}

Any MCP-Compatible Agent

The server works with any tool that supports Model Context Protocol — Claude, GPT, Gemini, Llama, or any future model.

How It Works

Code

Your AI Agent  <-->  MCP Protocol  <-->  MIND MCP Server  <-->  Personal Knowledge Graph
                                                                  |
                                                           Emotional Intelligence
                                                           Autonomous Learning
                                                           CRM + Life + Social

Agent calls mind_context at session start → loads identity, rules, priorities
Agent calls mind_query before decisions → retrieves relevant memories
Agent calls mind_remember after tasks → stores outcomes and learnings
Agent calls mind_sense → reads user's emotional state to adapt responses
Agent calls mind_insights → surfaces autonomous pattern detection
Next session, any agent has full context. Knowledge compounds.

What Makes MIND Different

vs. Flat File Memory (MEMORY.md)

	Flat Files	MIND
Size	~20K chars, truncated	Unlimited knowledge graph
Retrieval	Loads everything every turn	Only relevant memories via semantic search
Structure	Unstructured text	Graph with entities, relationships, and emotional weights
Cross-agent	One tool only	Shared across all AI agents
Intelligence	None	Autonomous pattern detection + emotional encoding

vs. Other MCP Memory Servers

	Anthropic Official	Mem0	Graphiti/Zep	MIND
Tools	8	4	9	15
Knowledge graph	Basic (JSON)	No (vectors)	Yes (Neo4j)	Yes (LightRAG)
Emotional intelligence	No	No	No	Yes (patented)
CRM	No	No	No	Yes
Life management	No	No	No	Yes
Social features	No	No	No	Yes
Self-training	No	No	No	Yes
Research agent	No	No	No	Yes
Automations	No	No	No	Yes
Mobile app	No	No	No	Yes

Tool Reference

`mind_query` — Search Your Knowledge Graph

Code

query: "What did I decide about the authentication approach?"
mode: "hybrid"  // hybrid (default), mix, global, local, naive

Returns an AI-synthesized answer from your stored documents, entries, and thoughts with source attribution.

`mind_remember` — Store & Manage Content

Action	Description
`create`	Store content (auto-categorized as document, entry, or thought)
`delete`	Remove by ID
`search`	Find entries/thoughts by query
`get`	Retrieve specific item by ID
`list`	Paginated listing of all content

`mind_context` — Load Persistent Context

Loads five structured sections at session start:

Soul — Core identity, mission, personality
User — Who the user is, their role, preferences
Rules — Operating constraints, behavioral guidelines
Priorities — Current goals, active projects, deadlines
Recent — Latest activity, outcomes, decisions

`mind_life` — Life Management + Calendar

Action	Description
`list`, `create`, `update`, `complete`, `delete`, `move`, `get`	Full task/goal CRUD
`calendar_list`, `calendar_create`, `calendar_update`, `calendar_delete`	Calendar events
`stats`	Productivity metrics and completion rates

`mind_crm` — Contact Relationship Management

Action	Description
`list`, `create`, `update`, `delete`, `get`	Contact CRUD with pipeline stages
`log_activity`	Record calls, emails, meetings, notes
`list_activities`	View interaction history

`mind_sense` — MINDsense Emotional Intelligence

Action	Description
`state`	Current emotional state (valence, arousal, trend, sensitivity)
`signals`	Recent emotional signals with strength and source
`timeline`	Historical emotional data
`kg_weights`	Entities weighted by emotional significance
`spikes`	Detected emotional spikes
`acknowledge`	Mark a spike as acknowledged
`summary`	AI-generated emotional summary

`mind_research` — Autonomous Research

Action	Description
`start`	Launch a deep research job on any topic
`status`	Check job progress
`list`	View all research jobs

`mind_train` — Self-Training

Action	Description
`start`	Begin guided training (basics, network, expertise, history, goals, freeform)
`chat`	Send training message
`status`, `list_sessions`, `pause`, `resume`	Session management
`save_chat`	Save any chat conversation into the knowledge graph

`mind_social` — Social Layer

Action	Description
`create_thought`, `get_thought`, `delete_thought`, `like_thought`	Thought (post) management
`feed`, `user_feed`, `search_feed`	Social feed browsing
`create_community`, `list_communities`, `get_community`	Community management
`join_community`, `leave_community`	Membership
`create_post`, `list_posts`	Community posts

`mind_profile` — Profile & Preferences

Action	Description
`get`, `update`	Profile management
`get_chat_prompt`, `set_chat_prompt`	Custom chat system prompt
`get_thought_prompt`, `set_thought_prompt`	Custom thought generation prompt
`get_model`, `set_model`, `list_models`	LLM model selection (50+ models)

`mind_insights` — Autonomous Learning Engine

Action	Description
`list`	Recent pattern-detected insights
`unread_count`	Count of unseen insights
`view`, `feedback`	Mark seen, rate helpfulness
`analyze`	Trigger on-demand analysis
`weekly_summary`	Weekly intelligence summary
`context`	ALE context data

`mind_automate` — Automations

Read the full README →View source on GitHub →

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MIND

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mind": { "command": "npx", "args": ["-y", "MIND"] } }

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Technical Specs & Signals

CategoryKnowledge & Memory

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to MIND →Install in Claude Desktop Install in Cursor Install in VS Code

MIND

Personal knowledge graph AI memory. 15 tools, 89 actions. Emotional intelligence, CRM, social.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mind-2": {
      "command": "npx",
      "args": [
        "-y",
        "mind-2"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

@astramindapp/mcp-server

MIND MCP Server — The most complete AI memory layer available. 31 tools, 208 actions.

31 Tools

Tool	Actions	What It Does
`mind_query`	1	Semantic search across your knowledge graph (5 search modes)
`mind_remember`	5	Store, search, get, list, delete — documents, entries, thoughts
`mind_context`	1	Load persistent identity, preferences, rules, priorities, recent activity
`mind_focuses`	5	Top-level Focus buckets that group Life projects
`mind_life`	16	Focus → Project → Outcome hierarchy + calendar + cross-account sharing + stats
`mind_tasks`	9	Assignable, completable, reportable work items on Life/CRM/agents or standalone
`mind_checklists`	9	Task-level checklists — templates, phase-bucketed steps, completion tracking
`mind_crm`	7	Contacts, pipeline, activity logging, interaction history
`mind_graph`	3	Graph stats, diagnostics, entity labels
`mind_admin`	11	User provisioning, Featured Minds Portal, tier/credit management (admin-only)
`mind_sense`	7	MINDsense emotional intelligence — state, signals, timeline, KG weights, spikes
`mind_research`	3	Launch and track autonomous deep research jobs
`mind_train`	7	Self-training sessions + save chats to knowledge graph
`mind_social`	14	Thoughts (posts), social feed, communities, likes, comments
`mind_profile`	9	Profile, custom system prompts, LLM model selection
`mind_insights`	7	Autonomous Learning Engine insights, weekly summaries, feedback
`mind_automate`	6	Scheduled automations, event triggers, execution history
`mind_notify`	4	Notifications, mark read, stats
`mind_folders`	7	Organize documents into folders (a presentation layer over the graph)
`mind_folder_routes`	4	Deterministic system-folder routing for auto-filed docs
`mind_folder_suggest`	1	Ask MIND which folder a piece of content belongs in
`mind_list_templates`	1	List the 16 MIND Front Layer template types
`mind_get_template`	1	Fetch the full markdown spec for one Front Layer template
`mind_save_typed`	1	Save a filled Front Layer document with its type tag
`mind_bootstrap_templates`	1	Seed all 16 Front Layer templates into a tenant
`mind_agents`	25	Admin-only Agent Command Center — registry, status, invoices, workflows
`mind_tickets`	7	Agent ticket queue — file, triage, resolve client feedback/bugs
`mind_accounts`	6	Manage multi-MIND accounts — list, create, delete, members, grant, invite
`mind_social_analytics`	6	YouTube/LinkedIn/X/Twitch channel analytics from the Social Dashboard
`mind_personas`	17	Influencer Factory Command Center — synthetic personas across Blotato platforms (admin-only)
`mind_osint`	7	Operate Ozzie, the autonomous OSINT analyst — investigate targets, monitors, watchlists

Quick Start

1. Get a MIND API Key

2. Install

Terminal

npm install -g @astramindapp/mcp-server

3. Configure Your AI Tool

Claude Code

Terminal

claude mcp add mind -- env MIND_API_KEY=mind_xxx mind-mcp

Claude Desktop

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "mind": {
      "command": "mind-mcp",
      "env": {
        "MIND_API_KEY": "mind_your_key_here"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

config.json

{
  "mcpServers": {
    "mind": {
      "command": "mind-mcp",
      "env": {
        "MIND_API_KEY": "mind_your_key_here"
      }
    }
  }
}

Any MCP-Compatible Agent

The server works with any tool that supports Model Context Protocol — Claude, GPT, Gemini, Llama, or any future model.

How It Works

Code

Your AI Agent  <-->  MCP Protocol  <-->  MIND MCP Server  <-->  Personal Knowledge Graph
                                                                  |
                                                           Emotional Intelligence
                                                           Autonomous Learning
                                                           CRM + Life + Social

Agent calls mind_context at session start → loads identity, rules, priorities
Agent calls mind_query before decisions → retrieves relevant memories
Agent calls mind_remember after tasks → stores outcomes and learnings
Agent calls mind_sense → reads user's emotional state to adapt responses
Agent calls mind_insights → surfaces autonomous pattern detection
Next session, any agent has full context. Knowledge compounds.

What Makes MIND Different

vs. Flat File Memory (MEMORY.md)

	Flat Files	MIND
Size	~20K chars, truncated	Unlimited knowledge graph
Retrieval	Loads everything every turn	Only relevant memories via semantic search
Structure	Unstructured text	Graph with entities, relationships, and emotional weights
Cross-agent	One tool only	Shared across all AI agents
Intelligence	None	Autonomous pattern detection + emotional encoding

vs. Other MCP Memory Servers

	Anthropic Official	Mem0	Graphiti/Zep	MIND
Tools	8	4	9	15
Knowledge graph	Basic (JSON)	No (vectors)	Yes (Neo4j)	Yes (LightRAG)
Emotional intelligence	No	No	No	Yes (patented)
CRM	No	No	No	Yes
Life management	No	No	No	Yes
Social features	No	No	No	Yes
Self-training	No	No	No	Yes
Research agent	No	No	No	Yes
Automations	No	No	No	Yes
Mobile app	No	No	No	Yes

Tool Reference

`mind_query` — Search Your Knowledge Graph

Code

query: "What did I decide about the authentication approach?"
mode: "hybrid"  // hybrid (default), mix, global, local, naive

Returns an AI-synthesized answer from your stored documents, entries, and thoughts with source attribution.

`mind_remember` — Store & Manage Content

Action	Description
`create`	Store content (auto-categorized as document, entry, or thought)
`delete`	Remove by ID
`search`	Find entries/thoughts by query
`get`	Retrieve specific item by ID
`list`	Paginated listing of all content

`mind_context` — Load Persistent Context

Loads five structured sections at session start:

Soul — Core identity, mission, personality
User — Who the user is, their role, preferences
Rules — Operating constraints, behavioral guidelines
Priorities — Current goals, active projects, deadlines
Recent — Latest activity, outcomes, decisions

`mind_life` — Life Management + Calendar

Action	Description
`list`, `create`, `update`, `complete`, `delete`, `move`, `get`	Full task/goal CRUD
`calendar_list`, `calendar_create`, `calendar_update`, `calendar_delete`	Calendar events
`stats`	Productivity metrics and completion rates

`mind_crm` — Contact Relationship Management

Action	Description
`list`, `create`, `update`, `delete`, `get`	Contact CRUD with pipeline stages
`log_activity`	Record calls, emails, meetings, notes
`list_activities`	View interaction history

`mind_sense` — MINDsense Emotional Intelligence

Action	Description
`state`	Current emotional state (valence, arousal, trend, sensitivity)
`signals`	Recent emotional signals with strength and source
`timeline`	Historical emotional data
`kg_weights`	Entities weighted by emotional significance
`spikes`	Detected emotional spikes
`acknowledge`	Mark a spike as acknowledged
`summary`	AI-generated emotional summary

`mind_research` — Autonomous Research

Action	Description
`start`	Launch a deep research job on any topic
`status`	Check job progress
`list`	View all research jobs

`mind_train` — Self-Training

Action	Description
`start`	Begin guided training (basics, network, expertise, history, goals, freeform)
`chat`	Send training message
`status`, `list_sessions`, `pause`, `resume`	Session management
`save_chat`	Save any chat conversation into the knowledge graph

`mind_social` — Social Layer

Action	Description
`create_thought`, `get_thought`, `delete_thought`, `like_thought`	Thought (post) management
`feed`, `user_feed`, `search_feed`	Social feed browsing
`create_community`, `list_communities`, `get_community`	Community management
`join_community`, `leave_community`	Membership
`create_post`, `list_posts`	Community posts

`mind_profile` — Profile & Preferences

Action	Description
`get`, `update`	Profile management
`get_chat_prompt`, `set_chat_prompt`	Custom chat system prompt
`get_thought_prompt`, `set_thought_prompt`	Custom thought generation prompt
`get_model`, `set_model`, `list_models`	LLM model selection (50+ models)

`mind_insights` — Autonomous Learning Engine

Action	Description
`list`	Recent pattern-detected insights
`unread_count`	Count of unseen insights
`view`, `feedback`	Mark seen, rate helpfulness
`analyze`	Trigger on-demand analysis
`weekly_summary`	Weekly intelligence summary
`context`	ALE context data

`mind_automate` — Automations

Read the full README →View source on GitHub →

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MIND

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mind": { "command": "npx", "args": ["-y", "MIND"] } }

AllMCPs Directory Badge

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Technical Specs & Signals

CategoryKnowledge & Memory

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

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Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to MIND →Install in Claude Desktop Install in Cursor Install in VS Code

MIND

Quick Install

Client Config & Setup

Documentation Overview

@astramindapp/mcp-server

31 Tools

Quick Start

1. Get a MIND API Key

2. Install

3. Configure Your AI Tool

Claude Code

Claude Desktop

Cursor

Any MCP-Compatible Agent

How It Works

What Makes MIND Different

vs. Flat File Memory (MEMORY.md)

vs. Other MCP Memory Servers

Tool Reference

mind_query — Search Your Knowledge Graph

mind_remember — Store & Manage Content

mind_context — Load Persistent Context

mind_life — Life Management + Calendar

mind_crm — Contact Relationship Management

mind_sense — MINDsense Emotional Intelligence

mind_research — Autonomous Research

mind_train — Self-Training

mind_social — Social Layer

mind_profile — Profile & Preferences

mind_insights — Autonomous Learning Engine

mind_automate — Automations

Related MCP Servers

Reviews

Frequently Asked Questions about MIND

AllMCPs Directory Badge

Technical Specs & Signals

AllMCPs Server

Own this project?

Share & Embed

Explore more

MIND

Quick Install

Client Config & Setup

Documentation Overview

@astramindapp/mcp-server

31 Tools

Quick Start

1. Get a MIND API Key

2. Install

3. Configure Your AI Tool

Claude Code

Claude Desktop

Cursor

Any MCP-Compatible Agent

How It Works

What Makes MIND Different

vs. Flat File Memory (MEMORY.md)

vs. Other MCP Memory Servers

Tool Reference

mind_query — Search Your Knowledge Graph

mind_remember — Store & Manage Content

mind_context — Load Persistent Context

mind_life — Life Management + Calendar

mind_crm — Contact Relationship Management

mind_sense — MINDsense Emotional Intelligence

mind_research — Autonomous Research

mind_train — Self-Training

mind_social — Social Layer

mind_profile — Profile & Preferences

mind_insights — Autonomous Learning Engine

mind_automate — Automations

Related MCP Servers

Reviews

Frequently Asked Questions about MIND

AllMCPs Directory Badge

Technical Specs & Signals

AllMCPs Server

Own this project?

Share & Embed

Explore more

`mind_query` — Search Your Knowledge Graph

`mind_remember` — Store & Manage Content

`mind_context` — Load Persistent Context

`mind_life` — Life Management + Calendar

`mind_crm` — Contact Relationship Management

`mind_sense` — MINDsense Emotional Intelligence

`mind_research` — Autonomous Research

`mind_train` — Self-Training

`mind_social` — Social Layer

`mind_profile` — Profile & Preferences

`mind_insights` — Autonomous Learning Engine

`mind_automate` — Automations

`mind_query` — Search Your Knowledge Graph

`mind_remember` — Store & Manage Content

`mind_context` — Load Persistent Context

`mind_life` — Life Management + Calendar

`mind_crm` — Contact Relationship Management

`mind_sense` — MINDsense Emotional Intelligence

`mind_research` — Autonomous Research

`mind_train` — Self-Training

`mind_social` — Social Layer

`mind_profile` — Profile & Preferences

`mind_insights` — Autonomous Learning Engine

`mind_automate` — Automations