@modelcontextprotocol/server-basic-preact
MCP ServerFreeBasic MCP App Server example using Preact
Capabilities8 decomposed
mcp server instantiation with preact ui framework integration
Medium confidenceBootstraps a Model Context Protocol server instance that binds Preact as the rendering framework for server-side UI components. Uses MCP's server initialization pattern to establish bidirectional communication channels between LLM clients and the Preact component tree, enabling declarative UI composition for tool interfaces. The server registers Preact components as MCP resources that can be dynamically rendered and updated based on client requests.
Uses Preact (not React) as the rendering layer for MCP server UIs, reducing bundle size and runtime overhead compared to full React implementations while maintaining component-based architecture patterns
Lighter-weight than React-based MCP servers (Preact is ~3KB vs React's ~40KB) while providing the same declarative component model for defining tool interfaces
tool definition and registration via preact components
Medium confidenceAllows developers to define MCP tools as Preact components with props mapping to tool parameters and component output mapping to tool results. The server introspects component signatures to auto-generate MCP tool schemas, eliminating manual schema duplication. Tool invocation triggers component rendering with parameters as props, and the rendered output is serialized back as the MCP tool result.
Derives MCP tool schemas from Preact component prop signatures rather than requiring explicit JSON schema definitions, reducing boilerplate and keeping tool definition and UI in one place
Eliminates schema duplication compared to traditional MCP servers where tools are defined as functions with separate JSON schemas; component-based approach mirrors modern web development patterns
resource exposure through preact component rendering
Medium confidenceExposes Preact components as MCP resources that clients can request and receive as rendered output. The server maintains a registry of component-based resources, handles client resource requests by rendering the corresponding component with optional query parameters, and returns the rendered output (HTML, text, or structured data) as the resource content. Supports dynamic resource generation based on client context.
Treats Preact components as first-class MCP resources, allowing component rendering logic to be invoked on-demand by MCP clients rather than pre-generating static resource content
More flexible than static resource files because resource content is generated dynamically at request time; more maintainable than embedding rendering logic in server handlers because components are reusable and testable
request-response message handling with component lifecycle integration
Medium confidenceImplements MCP's message protocol (requests, responses, notifications) with hooks into Preact component lifecycle. Server receives MCP requests, routes them to appropriate component handlers, executes component render cycles, and sends responses back to clients. Supports both synchronous component rendering and async operations (API calls, database queries) within component lifecycle hooks, with proper error handling and timeout management.
Integrates MCP's request-response protocol directly with Preact's component lifecycle hooks, allowing async operations to be expressed naturally within component code rather than in separate handler functions
More idiomatic for Preact developers than traditional MCP servers where request handling is separate from component rendering; reduces context-switching between handler functions and component code
type-safe tool parameter binding with typescript support
Medium confidenceProvides TypeScript-first tool parameter binding by leveraging Preact component prop types to define and validate tool parameters. The server uses TypeScript's type system to auto-generate parameter schemas, validate incoming tool calls against those types, and provide IDE autocomplete for tool parameters. Type mismatches are caught at development time and runtime, with clear error messages for parameter validation failures.
Uses Preact component prop types as the single source of truth for tool parameters, eliminating the need to maintain separate TypeScript types and JSON schemas
Provides better IDE support and compile-time safety than JSON schema-based parameter definitions; reduces boilerplate compared to tools that require both TypeScript interfaces and separate schema definitions
server-side state management with preact hooks
Medium confidenceEnables state management within MCP server tools using Preact hooks (useState, useReducer, useContext). State is scoped to individual tool invocations or shared across multiple tools via context providers. The server manages hook state lifecycle, ensuring proper cleanup between tool calls and supporting stateful tool interactions across multiple client requests. Integrates with MCP's request-response model to persist state across related tool calls.
Applies Preact's hooks model (useState, useReducer, useContext) to server-side tool state management, allowing developers to use familiar client-side patterns for server-side state
More intuitive for Preact developers than traditional MCP servers with manual state management; reduces boilerplate compared to implementing custom state management from scratch
composable tool chains with component composition
Medium confidenceSupports composing multiple Preact components into tool chains where the output of one tool (component) becomes the input to the next. The server manages data flow between composed components, handles error propagation through the chain, and provides a unified interface for executing multi-step tool sequences. Component composition follows Preact's component nesting patterns, making tool chains declarative and reusable.
Leverages Preact's component composition model to create tool chains, allowing developers to compose tools using familiar component nesting syntax rather than explicit pipeline configuration
More declarative and reusable than imperative tool chaining; aligns with Preact developers' existing mental models for component composition
client context and session management for multi-client scenarios
Medium confidenceManages separate execution contexts and sessions for multiple concurrent MCP clients connecting to the same server. Each client gets an isolated context with its own state, resource namespace, and tool invocation history. The server routes requests to the correct client context, maintains session metadata (client ID, connection time, request count), and handles client disconnection with proper cleanup. Supports session persistence for reconnecting clients.
Provides built-in multi-client context isolation at the MCP server level, allowing each client to have separate state and resource namespaces without explicit application-level isolation logic
Simpler than implementing per-client isolation manually; prevents state leakage between clients without requiring developers to add isolation checks in every tool
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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AgentQL
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Best For
- ✓developers building lightweight MCP servers with component-driven UIs
- ✓teams prototyping interactive tools for Claude integration
- ✓engineers familiar with Preact who want to avoid React's overhead in server contexts
- ✓developers who prefer component-driven tool definitions over JSON schema writing
- ✓teams building multiple related tools that share UI patterns
- ✓rapid prototyping scenarios where schema-first design adds friction
- ✓building interactive dashboards or forms that Claude can render and interact with
- ✓exposing dynamic content (reports, lists, forms) as MCP resources
Known Limitations
- ⚠No built-in state persistence — component state is ephemeral unless explicitly managed
- ⚠Limited to Preact's rendering model; complex server-side rendering patterns may require custom middleware
- ⚠No automatic hot-reloading during development; requires manual server restart for component changes
- ⚠Schema generation from component props may not capture complex validation rules; custom schema overrides may be needed
- ⚠Rendering-based tool execution adds latency compared to direct function calls (~50-100ms per tool invocation)
- ⚠No built-in support for streaming tool results; each tool invocation must complete before returning
Requirements
Input / Output
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Basic MCP App Server example using Preact
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