About mcp-persona-sessions
An MCP server that gives AI assistants a framework for structured, persona-driven conversations, including interview practice, personal reflection, and coaching. Custom personas and session templates are supported, alongside timing and post-session feedback tools.
Key features
- 01Load custom persona profiles
- 02Structured session templates
- 03Adaptive conversation flow
- 04Session timer management
- 05Performance and communication feedback
Use cases
- 01Practice job interviews
- 02Rehearse presentations or important meetings
- 03Role-play difficult workplace conversations
- 04Conduct guided personal reflection
MCP support
The MCP server provides AI assistants with tools to browse personas and session frameworks, initialize sessions, manage timers, and obtain feedback. Persona files and session types can be customized through configuration.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-persona-sessions
A Model Context Protocol (MCP) server that enables AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations.
Overview
Transform your AI interactions with realistic persona-driven sessions. Originally designed for mock interview preparation (practice with your "new boss" before that important meeting), this MCP server has evolved into a flexible framework for guided conversations of all kinds.
Whether you're preparing for a crucial presentation, seeking structured self-reflection, or wanting to practice difficult conversations in a safe environment, this server provides the framework for meaningful, guided dialogue.
Key Features
- 🎭 Persona-Driven Sessions: Load detailed persona profiles that completely transform AI behavior and expertise
- ⏱️ Built-in Timer Management: Track session duration with start, stop, and status checking
- 📋 Structured Frameworks: Pre-defined session templates with clear goals and outcomes
- 🔄 Adaptive Flow: Sessions that respond to what emerges naturally in conversation
- 📊 Session Evaluation: Get detailed feedback on performance and communication effectiveness
- 🔒 Secure Operation: Safe file handling with path validation and error handling
Session Types
Meeting Preparation
Practice conversations with realistic personas:
- Healthcare CIO: Technical discussions with mission-driven leadership perspective
- Board Members: High-level strategic conversations
- Team Leaders: Collaborative planning and decision-making sessions
Personal Reflection
Adaptive journaling sessions that flow between:
- Daily experience processing
- Creative exploration and inspiration
- Gratitude practice and appreciation
- Life pattern recognition and growth planning
Custom Sessions
Create your own personas and session frameworks for specific needs.
Quick Start
Prerequisites
- Python 3.8+
- MCP-compatible AI assistant (Claude Desktop, etc.)
Installation
- Clone the repository:
git clone https://github.com/mattjoyce/mcp-persona-sessions.git
cd mcp-persona-sessions
- Install dependencies:
pip install fastmcp
- Set up configuration:
cp config.yaml.example config.yaml
# Edit config.yaml with your preferences
MCP Client Configuration
Add to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"persona-sessions": {
"command": "/path/to/venv/python",
"args": ["/path/to/mcp-persona-sessions/mcp-persona-sessions.py"],
"cwd": "/path/to/mcp-persona-sessions"
}
}
}
Usage
Basic Session Flow
I use Claude as the mcp client, you might use something else. Simple ask claude to initiate a session.
"Claude, use your tools to run a mock meeting, this meeting is with XXX and is about YYY, duration 10 mins." If you have useful documents, include them with the request.
Configuration
config.yaml
persona_path: "roles" # Directory containing persona files
session_types_file: "session_types.yaml" # Session framework definitions
default_persona_file: "Role-Interviewer-mcp.md" # Fallback persona
evaluator_persona_file: "Role-Interview-Evaluator.md" # Feedback persona
Adding Custom Personas
Create a new .md file in the roles/ directory with:
# Your Persona Name
## Identity and Purpose
[Define who this persona is and their role]
## Communication Style
[How they speak and interact]
## Expertise Areas
[What they know and focus on]
## Goals
[What they aim to achieve in sessions]
[Additional sections as needed...]
Adding Custom Session Types
Edit session_types.yaml to add new session frameworks:
session_types:
- name: "Your Custom Session"
persona: "Your Persona"
persona_file: "Role-Your-Persona.md"
description: "What this session accomplishes"
prerequisites: ["What's needed to start"]
duration: 20
topics: ["Key areas to explore"]
goals: ["Session outcomes"]
Project Structure
mcp-persona-sessions/
├── mcp-persona-sessions.py # Main MCP server
├── timer.py # Timer management utilities
├── config.yaml # Server configuration
├── session_types.yaml # Available session frameworks
├── roles/ # Persona definition files
│ ├── Role-CIO.md
│ ├── Role-Reflective-Companion.md
│ ├── Role-Interview-Evaluator.md
│ └── ...
├── requirements.txt
└── README.md
Available Tools
| Tool | Purpose |
|---|---|
list_session_frameworks | Browse available session types and templates |
list_session_personas | View all available personas |
get_persona_details | Get full details of a specific persona |
assess_session_readiness | Check if ready to start a session |
initialize_session | Begin a structured session |
start_timer | Start session timer with optional duration |
check_timer_status | Monitor running timer progress |
stop_timer | End timer and conclude session |
get_session_feedback | Analyze session transcript for feedback |
Use Cases
- Job Interview Prep: Practice with realistic interviewer personas
- Presentation Rehearsal: Get feedback on messaging and delivery
- Difficult Conversations: Role-play challenging workplace discussions
- Personal Development: Structured self-reflection and goal clarification
- Creative Exploration: Guided sessions for artistic and innovative thinking
- Decision Making: Work through complex choices with focused dialogue
- Daily Reflection: Consistent journaling practice with adaptive guidance
Contributing
Contributions welcome! Areas of interest:
- New persona definitions for different roles/industries
- Additional session frameworks for specific use cases
- Enhanced timer and session management features
- Integration improvements for different MCP clients
License
GPL-3.0 License - see LICENSE file for details.
Acknowledgments
Built using the Model Context Protocol framework for AI assistant extensibility.
Changelog
See CHANGELOG.md.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.