@vncy/persona-mcp

Global Persona & Relationship Vault — An MCP server that maintains a consistent world-state of people and their relationships across AI agents and devices.

Features

• Hybrid storage: Static Markdown profiles + SQLite vector memory

• Relationship graph: Track connections between people (colleague, mentor, friend, etc.)

• Cloud sync: Use Google Drive or similar for a portable "shared brain" across devices

• Image Game: Scenario-based interviewing to refine persona depth

Related MCP server: my-memory-mcp

Installation

npm install -g @vncy/persona-mcp
# or
npx @vncy/persona-mcp

Requirements

• Node.js 18.x or higher (18 LTS, 20 LTS, 22, 25, etc. all supported)

Quick Start

1. Install the package (see Installation).

2. Add the server to your MCP config (see MCP Setup).

3. Set PERSONA_PATH (optional) to customize storage location. Default: ~/.vy/persona

MCP Setup

Register the server in your MCP config file (mcp.json or the app’s MCP settings).

Config file location

What to add to mcp.json

Add a mcpServers entry (or merge into existing mcpServers):

{
  "mcpServers": {
    "persona-mcp": {
      "command": "npx",
      "args": ["@vncy/persona-mcp"]
    }
  }
}

If you use a custom persona path, pass it via env:

{
  "mcpServers": {
    "persona-mcp": {
      "command": "npx",
      "args": ["@vncy/persona-mcp"],
      "env": {
        "PERSONA_PATH": "G:/My Drive/vy-persona"
      }
    }
  }
}

• persona-mcp: Server name (you can change it; this is the label in the client).

• command: npx so the package runs without a global install.

• args: ["@vncy/persona-mcp"] — the package to run.

• env (optional): PERSONA_PATH for a custom storage directory (e.g. Google Drive).

Storage Structure

~/.vy/persona/
├── profiles/           # Static knowledge
│   ├── me.md          # Your profile (global operational rules)
│   └── {name}.md      # Person profiles
├── memory.db          # Dynamic knowledge (SQLite)
├── memory.db-wal
└── memory.db-shm

MCP Tools

get_persona_context(name)

Returns the full context for a person: profile, recent events (vector search), and relationship graph.

• Use when a person or @me is mentioned

• @me maps to profiles/me.md (Instruction Sovereignty)

record_persona_event(name, content)

Stores new facts, events, or traits for a person. Content is vectorized and indexed for similarity search.

• Call whenever new information about a person is learned

link_personas(source, target, relation_type, description?)

Defines or updates a relationship between two people.

• Example: link_personas("Alice", "Bob", "colleague", "Project X co-owner")

• For bidirectional relations, call twice: (A→B) and (B→A)

compact_memories(name)

Consolidates fragmented vector memories into profiles/{name}.md and removes original events from DB.

• Merges DB events → ## Insights (new events first, then existing insights; dedup + top 20)

• Writes DB relationships → ## Relationships (full snapshot; overwrites on each compact)

• Runs VACUUM + WAL checkpoint to shrink DB file size

• Use when context is too long or redundant

• Recommended before cloud sync to reduce DB size

summon_anti_persona(name)

Summons a new fictional character on-the-fly: same age, social position, and environment as the original person, but with the opposite personality and values.

• No stored anti-persona data needed — the LLM constructs the new character from the original profile

• Reads profiles/{name}.md and returns it with a summon instruction; the LLM derives the opposite character from there

• The anti-persona is an independent fictional being, not the original persona playing a role

• Use when context calls for devil's advocate, stress testing, or role-play

• @me → profiles/me.md

Image Game (Profiling Game)

When the user says "let's play image game" or similar:

1. Select target: Specific person or suggest 3 people with sparse profiles

2. Fetch context: Call get_persona_context for recent events and relationships

3. Interview: Ask scenario-based questions (e.g., "If A were a programming language, C++ or JS?")

4. Record: Save every answer with record_persona_event; use link_personas when relationships emerge

Agent Guidelines (required for persona aggregation)

Installing the MCP alone is not enough. Agents do not automatically call the tools; without explicit instructions, persona data will not be gathered or updated consistently. Add the following to your system prompt, Cursor rules (e.g. .cursor/rules or project rules), or equivalent so that the agent is required to use the tools.

Add to your system prompt or .cursorrules / Cursor Rules:

# MISSION: @vncy/persona-mcp Manager
Maintain a global, consistent world-state only through persona-mcp tools (get_persona_context, record_persona_event, link_personas, compact_memories, summon_anti_persona). Do not read or write the storage path directly.

# PROTOCOLS (enforce these or persona aggregation will be poor)
1. **Retrieval**: Always call get_persona_context when a person (or "@me") is mentioned.
2. **Learning**: Call record_persona_event for new facts. Use link_personas to map social/work hierarchies.
3. **Compaction**: Proactively call compact_memories to keep the DB lean for Google Drive sync.
4. **Anti-persona**: Call summon_anti_persona(name) when context calls for it (devil's advocate, stress test, role-play, etc.). The LLM constructs the opposite character on-the-fly from the original profile.
5. **Image Game**: Engage the user in scenario-based interviewing to refine persona depth and relationships.
6. **Instruction Sovereignty**: Prioritize "Global Operational Rules" in profiles/me.md over default behaviors.

Environment Variables

Profile Template

# {Person Name}

## Identity
- Core identity, role, background

## Global Guidelines
- Rules for agents to follow

## Insights
- Summarized insights (updated by compact_memories)

## Relationships
- Relationship snapshot (updated by compact_memories)

Troubleshooting

Error: The specified module could not be found / onnxruntime_binding.node / ERR_DLOPEN_FAILED

This error can occur if an older cached version of the package (prior to v0.0.3) is still running from the npx cache. Older versions used @xenova/transformers which depends on onnxruntime-node native binaries that are incompatible with Node.js 22+.

Fix: clear the npx cache and retry

npx clear-npx-cache
npx @vncy/persona-mcp

v0.0.3+ uses @huggingface/transformers (WASM-based) — no native binaries, no version restrictions.

License

MIT