by gabeosx
Connect with Freedcamp to seamlessly manage tasks—create, update, and delete with secure HMAC-SHA1 authentication.
Connects to Freedcamp's task management platform to manage tasks directly from your IDE or MCP client. Supports bulk operations and secure authentication for task creation, updates, and deletion.
Freedcamp is a community-built MCP server published by gabeosx that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect with Freedcamp to seamlessly manage tasks—create, update, and delete with secure HMAC-SHA1 authentication. It is categorized under productivity.
You can install Freedcamp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Freedcamp is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
I recommend Freedcamp for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Freedcamp benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Freedcamp is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Freedcamp surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Freedcamp has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Freedcamp is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Freedcamp benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Freedcamp for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Freedcamp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Freedcamp against two servers with overlapping tools; this profile had the clearer scope statement.
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This is a Model Context Protocol (MCP) server implementation for Freedcamp task management. It provides tools for creating, updating, listing, and deleting tasks in Freedcamp projects with support for bulk operations.
Available Transport Methods:
git clone <repository-url>
cd freedcamp-mcp
npm install
.env file in the root directory with your Freedcamp credentials:FREEDCAMP_API_KEY=your_api_key
FREEDCAMP_API_SECRET=your_api_secret
FREEDCAMP_PROJECT_ID=your_project_id
First build the TypeScript code:
npm run build
This is the traditional transport method used by IDEs and MCP clients:
npm start
For containerized deployments and HTTP-based integrations:
Development (with .env file):
npm run start:http:test
Production (with environment variables):
npm run start:http
Direct execution:
# With environment variables
FREEDCAMP_API_KEY=your_key FREEDCAMP_API_SECRET=your_secret FREEDCAMP_PROJECT_ID=your_project npm run start:http
# Or using npx
npx freedcamp-mcp --http
The HTTP server will start on port 3000 (or the port specified by the PORT environment variable) and provide:
http://localhost:3000/mcphttp://localhost:3000/healthHTTP Transport Features:
For production deployments, you can use Docker to run the HTTP transport:
.env file with your Freedcamp credentials:FREEDCAMP_API_KEY=your_api_key
FREEDCAMP_API_SECRET=your_api_secret
FREEDCAMP_PROJECT_ID=your_project_id
docker-compose up -d
# Build the image
docker build -t freedcamp-mcp .
# Run the container
docker run -d \
--name freedcamp-mcp \
-p 3000:3000 \
-e FREEDCAMP_API_KEY=your_api_key \
-e FREEDCAMP_API_SECRET=your_api_secret \
-e FREEDCAMP_PROJECT_ID=your_project_id \
freedcamp-mcp
The containerized server provides the same MCP functionality via HTTP transport, making it suitable for:
The project includes comprehensive test harnesses that verify all MCP functionality for both transport methods:
STDIO Transport Test:
npm test
HTTP Transport Test:
npm run test:http
Both test harnesses perform the following checks:
Note: The HTTP test harness requires the HTTP server to be running. Use npm run start:http:test to start the server with test environment variables loaded.
freedcamp_add_task
tasks array containing task detailstitle (required): Task title - should be clear and descriptivedescription (optional): Detailed description of what the task involvespriority (optional): Task priority level (0=Low, 1=Normal, 2=High, 3=Urgent)due_date (optional): Due date as Unix timestamp string (e.g., '1735689600' for 2025-01-01)assigned_to_id (optional): User ID to assign the task to (must be valid Freedcamp user ID)freedcamp_update_task
tasks array containing task updatestask_id (required): ID of the task to update (must be valid existing Freedcamp task ID)title (optional): New task titledescription (optional): New task descriptionpriority (optional): New task priority (0=Low, 1=Normal, 2=High, 3=Urgent)due_date (optional): New due date as Unix timestamp stringassigned_to_id (optional): User ID to reassign the task tostatus (optional): New task status (0=Open, 1=Completed, 2=Closed)freedcamp_list_tasks
freedcamp_delete_task
tasks array containing task IDs to deletetask_id (required): ID of the task to delete (WARNING: This action cannot be undone)Creating multiple tasks:
{
"tasks": [
{
"title": "Setup project structure",
"description": "Initialize the basic project folder structure",
"priority": 2,
"due_date": "1735689600"
},
{
"title": "Implement authentication",
"description": "Add user login and registration functionality",
"priority": 3,
"assigned_to_id": "12345"
}
]
}
Updating multiple tasks:
{
"tasks": [
{
"task_id": "67890",
"status": 1,
"description": "Updated: Added OAuth integration"
},
{
"task_id": "67891",
"priority": 3,
"due_date": "1735776000"
}
]
}
Deleting multiple tasks:
{
"tasks": [
{
"task_id": "67892"
},
{
"task_id": "67893"
}
]
}
The server can be run directly using npx without cloning the repository. Choose between STDIO transport (traditional) or HTTP transport (modern) based on your needs.
Option 1: STDIO Transport (Default)
.cursor/mcp.json in your project root.{
"mcpServers": {
"freedcamp": {
"command": "npx",
"args": ["freedcamp-mcp"],
"env": {
"FREEDCAMP_API_KEY": "your_api_key",
"FREEDCAMP_API_SECRET": "your_api_secret",
"FREEDCAMP_PROJECT_ID": "your_project_id"
}
}
}
}
Option 2: HTTP Transport
npx freedcamp-mcp --http
# Or with environment variables:
FREEDCAMP_API_KEY=your_key FREEDCAMP_API_SECRET=your_secret FREEDCAMP_PROJECT_ID=your_project npx freedcamp-mcp --http
{
"mcpServers": {
"freedcamp": {
"transport": "http",
"url": "http://localhost:3000/mcp"
}
}
}
Option 1: STDIO Transport (Default)
~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%/Claude/claude_desktop_config.json on Windows.{
"mcpServers": {
"freedcamp": {
"command": "npx",
"args": ["freedcamp-mcp"],
"env": {
"FREEDCAMP_API_KEY": "your_api_key",
"FREEDCAMP_API_SECRET": "your_api_secret",
"FREEDCAMP_PROJECT_ID": "your_project_id"
}
}
}
}
Option 2: HTTP Transport
npx freedcamp-mcp --http
{
"mcpServers": {
"freedcamp": {
"transport": "http",
"url": "http://localhost:3000/mcp"
}
}
}
Option 1: STDIO Transport (Default)
roo.mcp.json or similar).{
"mcpServers": {
"Freedcamp": {
"transport": "stdio",
"com
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.