How do I use MIND MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MIND MCP Server search my knowledge graph for notes on authentication" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MIND MCP Server

by theastraway

Overview Schema Related Servers Score Discussions

TypeScript

Remote

@astramindapp/mcp-server

MIND MCP Server — The most complete AI memory layer available. 15 tools, 89 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.

15 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_life`	12	Goals, projects, tasks + full calendar management + productivity stats
`mind_crm`	7	Contacts, pipeline, activity logging, interaction history
`mind_graph`	3	Graph stats, diagnostics, entity labels
`mind_admin`	7	User provisioning, featured minds, tier/credit management
`mind_sense`	7	MINDsense emotional intelligence — state, signals, timeline, KG weights, spikes
`mind_research`	3	Launch 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

Related MCP server: BuildAutomata Memory MCP Server

Quick Start

1. Get a MIND API Key

2. Install

npm install -g @astramindapp/mcp-server

3. Configure Your AI Tool

Claude Code

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

Claude Desktop

Add to your claude_desktop_config.json:

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

Cursor

Add to .cursor/mcp.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

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

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

Action	Description
`list`, `create`, `update`, `delete`	Automation CRUD
`run_now`	Trigger immediately
`history`	Execution log

`mind_notify` — Notifications

Action	Description
`list`	View all notifications
`mark_read`, `mark_all_read`	Read management
`stats`	Notification overview

`mind_admin` — Administration

Action	Description
`create_user`	Provision new MIND account
`list_users`	List users with analytics
`update_user_tier`	Change subscription tier
`adjust_user_credits`	Add/deduct credits
`create_featured_mind`	Create public featured mind
`list_featured_minds`, `update_featured_mind`	Featured minds catalog

Partner Integration

Partner apps can programmatically create MIND accounts using partner keys:

curl -X POST https://m-i-n-d.ai/admin/users/create \
  -H "X-API-Key: mind_partner_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "username": "newuser",
    "email": "user@app.com",
    "password": "securepassword",
    "generate_api_key": true
  }'

Returns a JWT + permanent API key. Your app stores the API key and uses it for all subsequent MCP/API calls on behalf of that user.

Environment Variables

Variable	Required	Default	Description
`MIND_API_KEY`	Yes	—	Your MIND Developer API key
`MIND_BASE_URL`	No	`https://m-i-n-d.ai`	MIND API base URL

Programmatic Usage

import { createMindMcpServer, MindClient } from "@astramindapp/mcp-server";

const client = new MindClient({
  baseUrl: "https://m-i-n-d.ai",
  apiKey: "mind_xxx",
});

const server = createMindMcpServer(client);
// Connect to any MCP transport

Patents

MIND's technology is protected by multiple provisional patents including:

Emotion-Weighted Knowledge Graph Encoding (U.S. App. 64/030,662)
Cross-Agent Persistent Memory via Model Context Protocol

License

MIT — Astra AI, Inc.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

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