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Personal knowledge graph AI memory. 15 tools, 89 actions. Emotional intelligence, CRM, social.
About
Personal knowledge graph AI memory. 15 tools, 89 actions. Emotional intelligence, CRM, social.
Security Report
Valid MCP server (2 strong, 3 medium validity signals). 4 known CVEs in dependencies (1 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
What You'll Need
Set these up before or after installing:
Environment variable: MIND_API_KEY
Environment variable: MIND_BASE_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-theastraway-mind": {
"env": {
"MIND_API_KEY": "your-mind-api-key-here",
"MIND_BASE_URL": "your-mind-base-url-here"
},
"args": [
"-y",
"@astramindapp/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@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 |
Quick Start
1. Get a MIND API Key
Sign up at m-i-n-d.ai → Settings → Developer → Create 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_contextat session start → loads identity, rules, priorities - Agent calls
mind_querybefore decisions → retrieves relevant memories - Agent calls
mind_rememberafter 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
Links
- Website: m-i-n-d.ai
- GitHub: theastraway/mind-mcp-server
- npm: @astramindapp/mcp-server
- MCP Docs: m-i-n-d.ai/mcp.html
License
MIT — Astra AI, Inc.
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