Question 1

What is the Picard MCP Server?

Accepted Answer

The Picard MCP Server is a memory management system built on the Model Context Protocol (MCP), designed to provide secure and semantically searchable memory for Large Language Models (LLMs).

Question 2

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is an open standard that defines how applications provide context to LLMs, acting as a bridge to external data and tools.

Question 3

What are the key features of the Picard MCP Server?

Accepted Answer

Key features include OAuth 2.0 authentication, PostgreSQL memory storage with pgvector, permission-based access control, vector embeddings for semantic search, and LLM integration.

Question 4

How does the Picard MCP Server ensure data security?

Accepted Answer

The server uses OAuth 2.0 with PKCE for authentication, encrypts memory text content at rest, and employs permission-based access controls.

Question 5

What is the Django Client and what is its role?

Accepted Answer

The Django Client is a web application demonstrating how to integrate with the MCP server, providing a user interface for memory management and querying.

Question 6

What are the two main authentication approaches supported by the system?

Accepted Answer

The system supports Direct Connect with User Context Token Flow (recommended) and the standard OAuth 2.0 Authorization Code Flow with PKCE (legacy).

Question 7

How are memories stored and managed in the system?

Accepted Answer

Memories are stored as text with associated metadata, including vector embeddings for semantic search. Permissions control who can access each memory.

Question 8

What is semantic search and how does the Picard MCP Server implement it?

Accepted Answer

Semantic search allows finding memories based on meaning using vector embeddings. The server uses OpenAI's `text-embedding-3-small` model for generating embeddings and pgvector for efficient vector storage and retrieval.

Question 9

What is the purpose of UUIDs in the system?

Accepted Answer

UUIDs (Universally Unique Identifiers) are used instead of sequential integers for security, scalability, non-guessability, and consistency.

Question 10

How do I set up and deploy the Picard MCP Server?

Accepted Answer

The setup involves using Docker and Docker Compose. You'll need to clone the repository, configure environment files, start the services, create an admin user, and register the Django client.

Question 11

How can I test if the Picard MCP Server is working correctly?

Accepted Answer

Run the MCP server and Django client tests. Also, perform manual testing by creating a user account, logging in, connecting to the MCP server, and creating/managing memories.

Question 12

Where can I find documentation for the Picard MCP Server API?

Accepted Answer

The MCP server includes Swagger/OpenAPI documentation, accessible at `/docs` when the server is running.

Question 13

What is the license for the Picard MCP Server?

Accepted Answer

The Picard MCP Server is licensed under the MIT License.

Question 14

How does the Picard MCP Server integrate with the UBOS Platform?

Accepted Answer

Integrating Picard MCP Server into the UBOS platform empowers your AI Agents with long-term memory and contextual awareness, enabling them to perform more sophisticated tasks and provide more personalized experiences. It provides more security, more reliable and better AI Agents for your business.

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