The MCP-Smallest.ai server acts as middleware for interacting with Smallest.ai's knowledge base management system through the Model Context Protocol. It provides:
List Knowledge Bases: Retrieve a list of all available knowledge bases
Create Knowledge Base: Create a new knowledge base by providing a name and description
Get Knowledge Base: Retrieve details of a specific knowledge base by its ID
Standardized Interface: Ensures consistent communication with the Smallest.ai API
Validation and Error Handling: Manages parameter validation and error responses
MCP Protocol Support: Handles protocol communication and routes client requests
Documentation is available via docs://smallest.ai
Supports running the MCP server on the Bun runtime, providing an alternative execution environment to Node.js for the server implementation.
Utilizes environment variables for configuration management, specifically for storing the Smallest.ai API key securely.
Hosts project repository and provides version control, allowing for collaborative development and contribution to the MCP server.
Integrates with Smallest.ai's knowledge base management system, providing tools for listing, creating, and retrieving knowledge bases through the Smallest.ai API.
Supports running the MCP server on Node.js 18+, providing the required runtime environment for server execution.
Uses TypeScript for implementation, providing type-safe development of the MCP server and its integration with Smallest.ai.
MCP-Smallest.ai
A Model Context Protocol (MCP) server implementation for Smallest.ai API integration. This project provides a standardized interface for interacting with Smallest.ai's knowledge base management system.
Architecture
System Overview
Component Details
1. Client Application Layer
Implements MCP client protocol
Handles request formatting
Manages response parsing
Provides error handling
2. MCP Server Layer
Protocol Handler
Manages MCP protocol communication
Handles client connections
Routes requests to appropriate tools
Tool Implementation
Knowledge base management tools
Parameter validation
Response formatting
Error handling
API Integration
Smallest.ai API communication
Authentication management
Request/response handling
3. Smallest.ai API Layer
Knowledge base management
Data storage and retrieval
Authentication and authorization
Data Flow
Security Architecture
Overview
This project implements an MCP server that acts as a middleware between clients and the Smallest.ai API. It provides a standardized way to interact with Smallest.ai's knowledge base management features through the Model Context Protocol.
Architecture
Components
MCP Server
Handles client requests
Manages API communication
Provides standardized responses
Implements error handling
Knowledge Base Tools
listKnowledgeBases
: Lists all knowledge basescreateKnowledgeBase
: Creates new knowledge basesgetKnowledgeBase
: Retrieves specific knowledge base details
Documentation Resource
Available at
docs://smallest.ai
Provides usage instructions and examples
Prerequisites
Node.js 18+ or Bun runtime
Smallest.ai API key
TypeScript knowledge
Installation
Clone the repository:
Install dependencies:
Create a
.env
file in the root directory:
Configuration
Create a config.ts
file with your Smallest.ai API configuration:
Usage
Starting the Server
Testing the Server
Available Tools
List Knowledge Bases
Create Knowledge Base
Get Knowledge Base
Response Format
All responses follow this structure:
Error Handling
The server implements comprehensive error handling:
HTTP errors
API errors
Parameter validation errors
Type-safe error responses
Development
Project Structure
Adding New Tools
Define the tool in
index.ts
:
Update documentation in the resource:
Security
API keys are stored in environment variables
All requests are authenticated
Parameter validation is implemented
Error messages are sanitized
Contributing
Fork the repository
Create your feature branch (
git checkout -b feature/amazing-feature
)Commit your changes (
git commit -m 'Add some amazing feature'
)Push to the branch (
git push origin feature/amazing-feature
)Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server implementation that provides a standardized interface for interacting with Smallest.ai's knowledge base management system.
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