A flexible, extensible framework for building Model Context Protocol (MCP) servers with modern API key authentication, user management, and dynamic tool sharing.
Dynamic MCP Server enables secure, user-aware, and extensible AI tool servers. It supports:
- API key-based authentication (simple, compatible with all MCP clients)
- User management and authorization (MongoDB-backed)
- Session-based, per-user tool loading
- Tool sharing and fine-grained access control
- Extensible HTTP and database layers for downstream projects
- Dynamic Tool Management: Create, delete, and authorize tools at runtime—tools are not limited to static definitions at startup or in code. This enables true runtime extensibility and is a primary differentiator from most other MCP servers.
- User Management: Add, update, delete, and list users; admin bootstrapping; role-based access.
- Tool Sharing: Share tools with other users, manage access levels, and receive real-time updates.
- Modern Auth: Simple API key authentication, MongoDB for authorization.
- Extensibility: Add custom HTTP routes and MongoDB collections in downstream projects.
- Session-based Tool Loading: Tools are loaded per user session, not globally.
- Each user is assigned a unique
apiKey
(generated automatically on user creation). - To authenticate, clients must provide the
apiKey
as a query parameter (e.g.,/sse?apiKey=...
). - The server authenticates the user by looking up the
apiKey
in the database.
- Getting Started
- User Management
- Tool Management & Sharing
- Authentication & Authorization
- Extending the Server (HTTP & DB)
- API Reference
- Examples
- Extending the Server: Creating Handler & Tool Packages
- Test Patterns & Mocking Strategies
Tool Visibility Model: All tools are visible to users by default. Users can hide tools from their view using the
hide-tool
andunhide-tool
actions. See User Management and Tool Management & Sharing for details.
See Getting Started for installation and basic usage.
Contributions are welcome! See the documentation for more details.
MIT
Tools are now registered via handler packages. Each handler package groups related tools and provides a handler function for tool execution. This is the recommended pattern for extensibility and maintainability.
Example:
const myHandlerPackage = {
name: "my-domain",
tools: [
{
name: "my-tool",
description: "A custom tool",
inputSchema: {
/* ... */
},
handler: { type: "my-domain", config: {} },
rolesPermitted: ["user", "admin"],
},
// ...more tools...
],
handler: async (args, context, config, toolName) => {
// Dispatch logic based on toolName, if needed
},
};
const server = new DynamicMcpServer({ name: "my-mcp", version: "1.0.0" });
await server.start();
await server.registerHandler(myHandlerPackage);
See Getting Started and Examples for more details.
When defining a tool, you can use the config.args
field to map user-supplied tool options (from inputSchema) to the arguments your action handler expects. This mapping supports:
- Literal values (e.g.,
"country": "US"
) - Template variables (e.g.,
"city": "{{location}}"
) - Nested objects and arrays (all templates are resolved recursively)
Example:
handler: {
type: "weather-tools",
config: {
url: "https://api.openweathermap.org/data/2.5/weather",
args: {
queryParams: {
appid: "{{OPENWEATHER_API_KEY}}",
q: "{{location}}",
units: "{{units}}"
}
}
}
}
When the tool is called, the system automatically resolves all {{...}}
templates in config.args using the tool input and environment variables. The handler receives the merged and resolved arguments—no manual mapping is needed.
See Tool Authoring for full details and examples.