TTG Scratchpad MCP Server
Provides persistent agent workspaces with MongoDB storage for file management and real-time task progress tracking. It enables secure, isolated user environments with full activity logging for workspace operations.
README
TTG Scratchpad MCP Server
Production-ready MCP server for agent workspace/scratchpad functionality with MongoDB persistence and user isolation.
Features
- Persistent Workspaces: Tasks and files stored in MongoDB Atlas
- User Isolation: Each user has their own isolated workspace (via X-User-ID header)
- File Management: Create, read, update, delete files in workspace
- Progress Tracking: Real-time progress updates visible in chat widget
- Activity Logging: Full audit trail of workspace operations
- Bearer Authentication: Secure API access via MCP_API_KEYS
Tools
Workspace Management
scratchpad_start- Start a new task workspacescratchpad_update- Update progress during taskscratchpad_complete- Mark task as completescratchpad_demo- Demo widget with sample data
File Management
scratchpad_write_file- Save file to workspacescratchpad_read_file- Read file from workspacescratchpad_list_files- List all workspace filesscratchpad_delete_file- Delete file from workspace
Local Development
Prerequisites
- Python 3.11+
- MongoDB Atlas cluster (ttg-workspaces)
Setup
# Create virtual environment
python -m venv venv
.\venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Copy and configure environment
copy .env.template .env
# Edit .env with your MongoDB URI and API key
Run Locally
cd C:\Users\Adam\Desktop\ttgeco\scratchpad-mcp
.\venv\Scripts\activate
python server.py
Server runs on http://localhost:8001/mcp
Test Without Database
The server runs in demo/stateless mode if MONGODB_URI is not set. Useful for UI testing.
Deployment (Render)
1. Push to GitHub
git add .
git commit -m "Add MongoDB persistence and file management"
git push origin main
2. Configure Render Environment Variables
In Render dashboard, add these environment variables:
| Variable | Value | Notes |
|---|---|---|
MONGODB_URI |
mongodb+srv://... |
Your ttg-workspaces connection string |
MCP_API_KEYS |
scratchpad-mcp-ttg-2026-... |
Must match LibreChat SCRATCHPAD_MCP_TOKEN |
Do NOT set PORT - Render provides it automatically.
3. Verify Deployment
After deploy, test the /mcp endpoint:
curl -X POST https://scratchpad-mcp-18ab.onrender.com/mcp \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_TOKEN"
LibreChat Configuration
librechat.yaml
mcpServers:
scratchpad:
type: streamable-http
url: "https://scratchpad-mcp-18ab.onrender.com/mcp"
headers:
Authorization: "Bearer ${SCRATCHPAD_MCP_TOKEN}"
X-User-ID: "{{LIBRECHAT_USER_ID}}"
timeout: 60000
initTimeout: 30000
serverInstructions: true
LibreChat .env
SCRATCHPAD_MCP_TOKEN=your-token-here
Database Schema
Collections
workspaces
{
"_id": "ObjectId",
"user_id": "string",
"conversation_id": "string (optional)",
"task": "string",
"status": "idle|active|complete",
"progress": {"current": 0, "total": 10},
"working_on": "string",
"created_at": "datetime",
"updated_at": "datetime"
}
files
{
"_id": "ObjectId",
"user_id": "string",
"workspace_id": "ObjectId",
"name": "string",
"path": "string",
"type": "file|folder",
"content": "string",
"updated": true,
"created_at": "datetime",
"updated_at": "datetime"
}
activity_logs
{
"_id": "ObjectId",
"user_id": "string",
"workspace_id": "ObjectId",
"action": "string",
"icon": "write|read|complete|delete",
"timestamp": "datetime"
}
Security
- Bearer token authentication via
MCP_API_KEYS - User isolation via
X-User-IDheader (provided by LibreChat) - All database queries scoped by user_id
- Input validation on file paths and content
Troubleshooting
"No HTTP request context available"
Tool called outside of request context. Ensure using FastMCP 0.5.0+.
"X-User-ID header required"
LibreChat not sending user ID. Check librechat.yaml headers config.
"MONGODB_URI environment variable required"
Set MONGODB_URI in Render dashboard or local .env.
Connection timeout
Check MongoDB Atlas network access - ensure Render IP is whitelisted or use 0.0.0.0/0 for all access.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.