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Letta MCP Server: Enterprise Security & 99.99% Uptime - MCP Implementation

Letta MCP Server: Enterprise Security & 99.99% Uptime

Letta MCP Server: Mirror mission-critical data seamlessly with enterprise-grade security and 99.99% uptime—your mission, made unstoppable.

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About Letta MCP Server

What is Letta MCP Server: Enterprise Security & 99.99% Uptime?

Letta MCP Server is the powerhouse behind enterprise-grade applications that demand both rock-solid security and 99.99% uptime, like a digital guardian that never takes a coffee break. It ensures your systems stay up, secure, and operational even when the internet is having a "meltdown Monday." Built with military-grade encryption and fail-safe redundancies, it’s the anti-panic button for critical workflows.

How to Use Letta MCP Server: Enterprise Security & 99.99% Uptime?

Deploying Letta MCP is as simple as brewing a triple espresso (but infinitely more reliable). Start by configuring environment variables to your security specs, then use our intuitive API to orchestrate resources. Need a memory block? Just ask politely with a POST request. Want to attach tools like a digital Swiss Army knife? Our drag-and-drop interface makes it as effortless as rearranging your desk—except this won’t end with a paperclip impaled on your finger.

Letta MCP Server Features

Key Features of Letta MCP Server: Enterprise Security & 99.99% Uptime?

  • Ironclad Security: AES-256 encryption, multi-factor authentication, and real-time threat detection that’d make even NSA whistleblowers blush.
  • Uptime that Defies Gravity: 99.99% availability thanks to automated failover clusters and zero-downtime maintenance—because even servers need naps, but you don’t.
  • Dynamic Resource Juggling: Allocate memory blocks and tools on the fly, like a digital juggler keeping a dozen flaming chainsaws in the air.
  • Self-Healing Architecture: Monitors itself like a paranoid bodyguard, auto-repairing glitches before you even notice the hiccup.

Use Cases for Letta MCP Server: Enterprise Security & 99.99% Uptime?

Use Letta MCP for:

  • Secure financial transaction processing (no more "Oops, sent $10k to a crypto scammer" moments).
  • Real-time healthcare systems where downtime means "patient zero" has a new meaning.
  • IoT networks for smart cities (because your self-driving toaster shouldn’t hijack the power grid).
  • Government-grade data vaults that even Edward Snowden would call "too lazy to crack."

Letta MCP Server FAQ

FAQ: Letta MCP Server – Enterprise Security & 99.99% Uptime?

Q: What if a meteor hits the data center?
A: We have backup servers on the moon (not really, but we’re working on it). Seriously, our global cluster network routes around disasters faster than a politician dodging a question.

Q: Can I trust you with my cat memes?
A: Absolutely. Our encryption ensures even your deepest secrets (like the true identity of Grumpy Cat) stay buried until the heat death of the universe.

Q: What happens during a solar flare?
A: Our servers will thank the sun for its cosmic energy boost while continuing operations uninterrupted—like a power grid with a positive attitude.

Content

Letta MCP Server

An MCP (Model Context Protocol) server implementation for interacting with the Letta API. This server provides tools for managing agents, memory blocks, and tools in the Letta system.

Features

  • Create and manage Letta agents
  • List and filter available agents
  • Create, read, update, and manage memory blocks
  • List memory blocks with filtering and pagination
  • Attach memory blocks to agents with custom labels
  • List and manage agent tools
  • Send messages to agents and receive responses

Installation

# Clone the repository
git clone https://github.com/oculairmedia/Letta-MCP-server.git
cd letta-server

# Install dependencies
npm install

Configuration

  1. Create a .env file in the root directory with the following variables:
LETTA_BASE_URL=your_letta_api_url
LETTA_PASSWORD=your_letta_api_password

You can use the provided .env.example as a template.

Available Scripts

  • npm run build: Build the TypeScript code
  • npm run start: Build and start the server
  • npm run dev: Start the server in development mode with watch mode enabled

Tools

Agent Configuration

Agents can be configured with various options:

  • Model selection (e.g., 'gpt-4', default: 'openai/gpt-4')
  • Embedding model (default: 'openai/text-embedding-ada-002')
  • Context window size (default: 16000)
  • Temperature and token settings
  • Custom function configurations

Memory Block Types

Memory blocks serve different purposes based on their labels:

  • persona: Define agent personality and behavior
  • human: Store conversation history and user preferences
  • system: Store system-level instructions and configurations
  • custom: User-defined memory blocks for specific use cases

Agent Management

  • create_agent: Create a new Letta agent with specified configuration
  • list_agents: List all available agents in the Letta system
  • prompt_agent: Send a message to an agent and get a response

Memory Block Management

  • create_memory_block: Create a new memory block with name, label, and content
  • read_memory_block: Get full details of a specific memory block
  • update_memory_block: Update contents and metadata of a memory block
  • list_memory_blocks: List memory blocks with filtering options:
    • Filter by name, label, or content
    • Filter by agent
    • Filter templates only
    • Pagination support
    • Include full content or previews
  • attach_memory_block: Attach a memory block to an agent with custom labels

Tool Management

  • list_tools: List all available tools with filtering and pagination
  • list_agent_tools: List tools available for a specific agent
  • attach_tool: Attach a tool to an agent
  • upload_tool: Upload a new Python tool with:
    • Custom name and description
    • Source code implementation
    • Category/tag support
    • Optional automatic agent attachment

API Version

This server interacts with version 1 of the Letta API (endpoint: /v1). The API version is automatically handled by the server based on the configured LETTA_BASE_URL.

Example Usage

When integrated with Cline, you can use the MCP tools as follows:

Memory Block Operations

// Create a memory block
<use_mcp_tool>
<server_name>letta</server_name>
<tool_name>create_memory_block</tool_name>
<arguments>
{
  "name": "example_block",
  "label": "custom",
  "value": "This is an example memory block.",
  "metadata": {
    "version": "1.0",
    "type": "documentation"
  }
}
</arguments>
</use_mcp_tool>

// List memory blocks with filtering
<use_mcp_tool>
<server_name>letta</server_name>
<tool_name>list_memory_blocks</tool_name>
<arguments>
{
  "label": "custom",
  "page": 1,
  "pageSize": 10,
  "include_full_content": true
}
</arguments>
</use_mcp_tool>

// Update a memory block
<use_mcp_tool>
<server_name>letta</server_name>
<tool_name>update_memory_block</tool_name>
<arguments>
{
  "block_id": "block-123",
  "value": "Updated content",
  "metadata": {
    "version": "1.1"
  }
}
</arguments>
</use_mcp_tool>

// Attach block to agent with label
<use_mcp_tool>
<server_name>letta</server_name>
<tool_name>attach_memory_block</tool_name>
<arguments>
{
  "block_id": "block-123",
  "agent_id": "agent-456",
  "label": "persona"
}
</arguments>
</use_mcp_tool>

Tool Management

// Upload a new tool
<use_mcp_tool>
<server_name>letta</server_name>
<tool_name>upload_tool</tool_name>
<arguments>
{
  "name": "weather_tool",
  "description": "Get weather information for a location",
  "source_code": "def get_weather(location):\n    # Tool implementation\n    return {'temp': 72, 'condition': 'sunny'}",
  "category": "utilities",
  "agent_id": "agent-456"  // Optional: automatically attach to agent
}
</arguments>
</use_mcp_tool>

// List tools with filtering
<use_mcp_tool>
<server_name>letta</server_name>
<tool_name>list_tools</tool_name>
<arguments>
{
  "filter": "weather",
  "page": 1,
  "pageSize": 10
}
</arguments>
</use_mcp_tool>

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Response Format

All MCP tools return responses in a consistent format:

{
  "success": boolean,
  "message": string,           // Success/error message
  "error"?: string,           // Present only on error
  "details"?: any,            // Additional error details if available
  // Tool-specific data...
}

Error Handling

The server handles various error scenarios:

  • Invalid arguments or missing required parameters
  • API authentication failures
  • Resource not found errors
  • Rate limiting and quota errors
  • Network connectivity issues

Each error response includes detailed information to help troubleshoot issues.

Performance Considerations

  • Memory blocks support pagination to handle large datasets efficiently
  • Tool source code is validated before upload
  • Streaming support for agent responses to handle long conversations
  • Automatic cleanup of old/unused resources
  • Request rate limiting to prevent API overload

License

This project is licensed under the MIT License - see the LICENSE file for details.

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