Open Personality MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Open Personality MCP ServerCreate a personality profile for me"
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.
Open Personality
Create personality profiles and output them as OpenClaw-compatible SOUL.md / IDENTITY.md.
12-facet profiling based on 33 academic personality frameworks.
No API key required. Fully local. MIT License.
Architecture — Who Does What?
AI Agent (Claude, Cursor, Gemini, etc.) MCP Server (@openpersonality)
┌──────────────────────────────────┐ ┌─────────────────────────────┐
│ - Analyzes conversation │ │ - Stores profiles │
│ - Estimates facet values (a/b) │ ──→ │ - Merges confidence scores │
│ - Determines confidence (0-1) │ │ - Detects drift │
│ │ ←── │ - Generates SOUL.md │
└──────────────────────────────────┘ └─────────────────────────────┘The MCP server does NOT call any external APIs or LLMs. Facet estimation is the responsibility of the connected AI agent.
Related MCP server: MBTI MCP Server
Features
12-Facet Personality Profiling — Scientific personality structure based on 33 academic frameworks
Progressive Profile — Profiles grow autonomously through conversation (agents detect signals and update automatically)
OpenClaw Compatible — Generates SOUL.md / IDENTITY.md in OpenClaw format
MCP Server — Works with all major AI agent platforms via stdio transport
Confidence Merge — Bayesian-style confidence tracking with drift detection
Bilingual — English and Japanese support
Packages
Package | Description |
Core logic: facets, templates, confidence merge, validation, data | |
MCP Server (stdio): 6 tools + 3 resources + 2 prompts |
Installation
Claude Desktop
Edit claude_desktop_config.json:
OS | Path |
macOS |
|
Windows |
|
{
"mcpServers": {
"openpersonality": {
"command": "npx",
"args": ["-y", "@openpersonality/mcp-server"]
}
}
}Restart Claude Desktop after editing.
Claude Code (CLI)
claude mcp add openpersonality -- npx -y @openpersonality/mcp-serverOr add to .mcp.json in your project root for team sharing:
{
"mcpServers": {
"openpersonality": {
"command": "npx",
"args": ["-y", "@openpersonality/mcp-server"]
}
}
}Cursor
Edit ~/.cursor/mcp.json (global) or <project>/.cursor/mcp.json (project):
{
"mcpServers": {
"openpersonality": {
"command": "npx",
"args": ["-y", "@openpersonality/mcp-server"]
}
}
}Windsurf
Edit ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"openpersonality": {
"command": "npx",
"args": ["-y", "@openpersonality/mcp-server"]
}
}
}VS Code (GitHub Copilot)
Create .vscode/mcp.json in your project:
{
"servers": {
"openpersonality": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@openpersonality/mcp-server"]
}
}
}Note: VS Code uses
"servers"(not"mcpServers") and requires a"type"field.
Gemini CLI
Edit ~/.gemini/settings.json:
{
"mcpServers": {
"openpersonality": {
"command": "npx",
"args": ["-y", "@openpersonality/mcp-server"]
}
}
}Or use the CLI:
gemini mcp add openpersonality -- npx -y @openpersonality/mcp-serverOpenAI Agents SDK (Python)
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStdio
async def main():
async with MCPServerStdio(
name="Open Personality",
params={
"command": "npx",
"args": ["-y", "@openpersonality/mcp-server"],
},
) as server:
agent = Agent(
name="Personality Assistant",
instructions="You help users create and manage personality profiles.",
mcp_servers=[server],
)
result = await Runner.run(agent, "Create a personality profile for me.")
print(result.final_output)
asyncio.run(main())Quick Start — Progressive Profiling
Step 1: Seed (first interaction)
create_profile(name: "Alice", external_id: "discord:123", language: "ja")
languageis set at creation and persists for all template generation (SOUL.md / IDENTITY.md).
Step 2: Grow (after a few conversations)
update_profile(external_id: "discord:123", facets: {
"facet_8": { "value": "b", "confidence": 0.3 }, // Introvert signal
"facet_6": { "value": "b", "confidence": 0.4 } // Logical signal
})Step 3: Refine (user self-report or strong signal)
update_profile(external_id: "discord:123", facets: {
"facet_12": { "value": "a", "confidence": 1.0 } // User confirmed: Planned
})Notes:
soul_md/identity_mdare auto-generated from facets + demographics if omitted (recommended for most use cases). Provide them only for custom templates.Confidence accumulates via Bayesian merge. Repeated low-confidence signals build to high confidence over time.
12 Facets
Key | Category | A (value: | B (value: |
| Communication | Assertive | Harmonious |
| Communication | Direct | Indirect |
| Communication | Leader | Follower |
| Values | Work-Focused | Life-Balance |
| Values | Risk-Taking | Risk-Avoidance |
| Thinking | Empathetic | Logical |
| Thinking | Abstract | Concrete |
| Personality | Extravert | Introvert |
| Personality | Emotional | Calm |
| Values | Open | Traditional |
| Values | Team | Solo |
| Thinking | Planned | Flexible |
Confidence levels:
Range | Meaning | Display |
| Unknown | — |
| Tentative |
|
| Estimated |
|
| User-confirmed |
|
Demographics (Optional)
Demographics give your profile a character identity. All fields are optional.
OpenClaw Standard — mapped to IDENTITY.md Header fields:
Field | Purpose | Example |
| Character type |
|
| Avatar shorthand |
|
| Overall impression |
|
nameis a required top-level parameter in ProfileData. It also exists in Demographics for template convenience, but ProfileData.name is the canonical source.avatar(OpenClaw standard) is planned for Phase 2.
OP Extension — Open Personality's extended fields for richer character creation:
Field | Purpose | Example |
| Pronoun (important for Japanese) |
|
| Signature phrase |
|
| Communication style |
|
| Opening line |
|
| Affects pronouns/tone |
|
| Background context |
|
| Expertise/role |
|
| Character background (1-2 sentences) |
|
Usage as an OpenClaw Skill
Open Personality works as an OpenClaw Skill for autonomous personality profiling. The agent detects personality signals during conversation and updates the profile automatically.
Setup
Install the MCP server (see Installation above)
Create a
SKILL.mdin your OpenClaw agent's skill directory:
---
user-invocable: true
disable-model-invocation: false
---
# Open Personality Skill
You have access to the Open Personality MCP tools for managing personality profiles.
## Session Start
At the beginning of each session, load the user's profile:
- Call `get_or_create_profile` with the user's external_id
- Include the returned SOUL.md in your conversation context
## Autonomous Profile Updates
During conversation, watch for personality signals:
- Communication style (assertive vs harmonious, direct vs indirect)
- Values (work-focused vs life-balance, risk-taking vs risk-avoidance)
- Thinking patterns (empathetic vs logical, abstract vs concrete)
- Personality traits (extravert vs introvert, emotional vs calm)
When you detect a signal:
1. Call `update_profile` with the facet value and low confidence (0.2-0.3)
2. The confidence merge algorithm handles accumulation over time
3. If a drift warning is returned, confirm with the user at a natural point
## Explicit Requests
- "Create my profile" → Call `create_profile` with inferred facets
- "Show my personality" → Call `get_profile` and display the SOUL.md
- "Update my profile" → Call `update_profile` with user-specified values (confidence: 1.0)Add a
references/facet-guide.mdwith the 12 facets for the agent to reference:
# Facet Guide
| # | Facet | A | B |
|---|---|---|---|
| 1 | Communication | Assertive | Harmonious |
| 2 | Expression | Direct | Indirect |
| 3 | Role | Leader | Follower |
| 4 | Work-Life | Work-Focused | Life-Balance |
| 5 | Risk | Risk-Taking | Risk-Avoidance |
| 6 | Judgment | Empathetic | Logical |
| 7 | Thinking | Abstract | Concrete |
| 8 | Energy | Extravert | Introvert |
| 9 | Emotion | Emotional | Calm |
| 10 | Openness | Open | Traditional |
| 11 | Collaboration | Team | Solo |
| 12 | Planning | Planned | Flexible |How Progressive Profile Works
Session 1: User says "I prefer working alone"
→ Agent detects Solo signal → update_profile(facet_11: "b", confidence: 0.3)
Session 3: User says "I like to plan everything in advance"
→ Agent detects Planned signal → update_profile(facet_12: "a", confidence: 0.25)
Session 5: User mentions preferring solo work again
→ Confidence merge: 0.3 + 0.25 → 0.475 (approaching confirmed)
Over time: Profile grows without user ever explicitly asking for it.MCP Tools
Tool | Description |
| Create a new profile (only |
| Update facets/demographics with confidence merge and drift detection |
| Get by |
| Get profile data + SOUL.md + IDENTITY.md |
| List all local profiles with completeness info |
| Delete a profile |
Note on
soul_md/identity_md: These are auto-generated from facets + demographics if omitted (recommended for most use cases). Provide them only when you want to use a custom template generated by the AI agent itself.
MCP Resources
URI | Description |
| Profile structured JSON |
| SOUL.md text |
| IDENTITY.md text |
MCP Prompts
Prompt | Description |
| Guides the AI through creating a user's first profile |
| Generates advice tailored to the user's personality |
Output Example
SOUL.md
# Soul
## Core Truths
- Lead with conviction, deliver with care
- Plan first, explore within structure
- Think with data, connect with people
## Boundaries
- Words are chosen carefully, even in disagreement
- Decisions require data — intuition alone is not enough
- Risks are calculated, never reckless
## Vibe
Warm and polite tone. Uses "watashi" as first person. Firm opinions
delivered in soft packaging. Analytical mind with genuine enjoyment
of human connection.
## Facet Profile
| Facet | Value |
|---|---|
| Assertive ↔ Harmonious | Assertive |
| Direct ↔ Indirect | ~Indirect |
| Leader ↔ Follower | Leader |
| Work-Focused ↔ Life-Balance | Life-Balance |
| ... | ... |Data Storage
All data is stored locally:
~/.openpersonality/
├── config.json
└── profiles/{id}/
├── profile.json # Structured data (source of truth)
├── SOUL.md # Generated personality document
└── IDENTITY.md # Generated identity documentNo data is sent to external servers. Directory permissions are set to 0700 (owner-only).
Platform Compatibility
Platform | Transport | Autonomous Updates |
Claude Desktop / Claude Code | MCP (stdio) | Autonomous tool calling |
Cursor / Windsurf / Cline | MCP (stdio) | Agent Mode |
VS Code / GitHub Copilot | MCP (stdio) | Agent Mode |
Gemini CLI | MCP (stdio) | Auto tool calling |
OpenAI Agents SDK | MCP (stdio) | Agent loop |
OpenClaw | MCP + Skill | Skill auto-invocation |
ChatGPT | MCP (Streamable HTTP) | Planned |
Development
pnpm install # Install dependencies
pnpm build # Build all packages
pnpm typecheck # Type check
pnpm test # Run tests
pnpm clean # Clean build artifactsPrivacy
All profile data stays on your machine (
~/.openpersonality/)The MCP server makes zero external API calls
No API key required — facet estimation is done by your AI agent's own LLM
Demographics may contain personal information — profiles are stored with owner-only permissions
License
MIT
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