@astramindapp/mcp-serverMIND 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.
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
Quick Start 1. Get a MIND API KeySign up at m-i-n-d.ai → Settings → Developer → Create API Key
2. Installnpm install -g @astramindapp/mcp-server Claude Codeclaude mcp add mind -- env MIND_API_KEY = mind_xxx mind-mcp Claude DesktopAdd to your claude_desktop_config.json:
{
"mcpServers" : {
"mind" : {
"command" : "mind-mcp" ,
"env" : {
"MIND_API_KEY" : "mind_your_key_here"
}
}
}
} CursorAdd to .cursor/mcp.json:
{
"mcpServers" : {
"mind" : {
"command" : "mind-mcp" ,
"env" : {
"MIND_API_KEY" : "mind_your_key_here"
}
}
}
} Any MCP-Compatible AgentThe server works with any tool that supports Model Context Protocol — Claude, GPT, Gemini, Llama, or any future model.
How It WorksYour 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
mind_query — Search Your Knowledge Graphquery: "What did I decide about the authentication approach?"
mode: "hybrid" // hybrid (default), mix, global, local, naiveReturns 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 ContextLoads 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
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 IntegrationPartner 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 Usageimport { createMindMcpServer, MindClient } from "@astramindapp/mcp-server" ;
const client = new MindClient ( {
baseUrl: "https://m-i-n-d.ai" ,
apiKey: "mind_xxx" ,
} ) ;
const server = createMindMcpServer ( client) ;
PatentsMIND'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
Links
LicenseMIT — Astrai AI, Inc.