typescript-sdk
MCP ServerFreeThe official TypeScript SDK for Model Context Protocol servers and clients
Capabilities15 decomposed
json-rpc bidirectional message protocol implementation
Medium confidenceImplements the full Model Context Protocol specification as a JSON-RPC 2.0-based bidirectional messaging system that enables both request-response and notification patterns between clients and servers. Uses a transport-agnostic message routing layer that decouples protocol logic from underlying communication mechanisms (stdio, HTTP, SSE, in-memory), allowing the same protocol implementation to work across multiple transports without modification.
Separates protocol logic from transport implementation through a pluggable transport interface, enabling the same JSON-RPC message handling to work across stdio, HTTP, SSE, and in-memory transports without code duplication or protocol-specific transport logic
More flexible than REST-only solutions because it supports true bidirectional communication and server-initiated requests, while maintaining protocol purity across all transport types
tool registration and schema-based function calling with automatic validation
Medium confidenceProvides a declarative API for registering tools on MCP servers using JSON Schema for parameter definition, with automatic validation and type-safe execution. The McpServer class exposes a tool() method that accepts tool name, description, input schema (via Zod or raw JSON Schema), and an async handler function. Validates all incoming tool calls against the registered schema before execution, returning structured errors for schema violations.
Combines Zod schema definitions with automatic JSON Schema generation and validation, allowing developers to define tool parameters once in TypeScript and automatically validate all incoming calls without manual schema construction or validation logic
More type-safe than OpenAI function calling because it validates at runtime using Zod and provides compile-time type checking, while remaining compatible with standard JSON Schema for interoperability
elicitation system for interactive capability discovery and negotiation
Medium confidenceImplements an elicitation system that enables interactive discovery and negotiation of capabilities between client and server. Allows servers to request information from clients (e.g., user preferences, available resources) and clients to query server capabilities with filtering. Supports bidirectional capability negotiation rather than static discovery.
Provides interactive capability negotiation rather than static discovery, allowing servers to request information from clients and adapt capability exposure based on context, enabling more sophisticated client-server interactions
More flexible than static capability lists because it supports bidirectional negotiation and context-aware capability filtering, though it adds complexity and latency to capability discovery
sampling and llm request delegation from server to client
Medium confidenceEnables MCP servers to request LLM sampling (text generation) from connected clients, allowing servers to invoke LLM capabilities without embedding an LLM themselves. Servers can request completions with specific parameters (temperature, max tokens, etc.) and receive generated text. Implements a request-response pattern where servers initiate sampling requests and clients handle LLM invocation.
Enables server-initiated LLM sampling requests where servers can ask connected clients for text generation, inverting the typical client-calls-server pattern and allowing servers to leverage client-side LLM capabilities
More flexible than embedding LLMs in servers because it delegates inference to clients, enabling servers to work with heterogeneous LLM backends and avoiding model dependencies in server code
capabilities system with feature negotiation and version compatibility
Medium confidenceImplements a capabilities system that allows clients and servers to declare supported features and negotiate compatibility. Each side declares capabilities (e.g., supported sampling parameters, resource types, prompt features) during initialization. Enables graceful degradation when capabilities don't match and version-aware feature detection.
Provides a feature-based capability system that enables version-agnostic compatibility negotiation, allowing clients and servers to discover supported features without relying on version numbers or hardcoded compatibility matrices
More maintainable than version-based compatibility because it uses feature flags rather than version strings, enabling gradual feature rollout and easier handling of mixed-version deployments
notification system with structured logging and event broadcasting
Medium confidenceImplements a notification system that allows both clients and servers to send structured notifications (non-request messages) for logging, events, and status updates. Notifications are JSON-RPC notifications (no response expected) that can be logged, filtered, or broadcast to multiple subscribers. Enables structured event logging and real-time status updates.
Provides a structured notification system built into the MCP protocol itself, enabling bidirectional event broadcasting and logging without requiring separate event systems or webhooks
More integrated than external logging systems because notifications are native MCP primitives, enabling structured logging and event broadcasting without additional infrastructure
schema validation with zod and json schema compatibility
Medium confidenceIntegrates Zod for runtime type validation with automatic JSON Schema generation for protocol compatibility. Allows developers to define schemas in TypeScript using Zod, which are automatically converted to JSON Schema for MCP protocol messages. Validates all incoming messages against schemas before processing, providing type-safe runtime validation.
Integrates Zod validation with automatic JSON Schema generation, allowing developers to define schemas once in TypeScript and automatically validate all MCP messages with both compile-time and runtime type checking
More type-safe than manual JSON Schema validation because it uses Zod for runtime validation with TypeScript type inference, providing both compile-time and runtime guarantees
resource and prompt management with uri-based addressing
Medium confidenceImplements a resource and prompt management system where servers can expose named resources and prompts using URI-based addressing (e.g., 'file://path/to/resource'). Resources can be text, binary, or streaming content; prompts are templates with arguments that return structured messages. Clients can list available resources/prompts and request specific ones by URI, with the server handling resolution and content delivery.
Uses URI-based addressing for both resources and prompts, enabling a unified discovery and access pattern where clients can list available resources/prompts and request them by URI without prior knowledge of their structure or location
More flexible than hardcoded prompt libraries because it supports dynamic resource discovery and URI-based addressing, allowing servers to add or modify resources without client code changes
multi-transport abstraction with pluggable transport implementations
Medium confidenceProvides a Transport interface that abstracts the underlying communication mechanism, with built-in implementations for stdio, HTTP (with streaming support), Server-Sent Events (SSE), and in-memory transports. Each transport implements the same interface (send/receive message handling) but handles protocol-specific concerns (connection lifecycle, message framing, error handling). Allows developers to switch transports by changing configuration without modifying protocol or business logic.
Implements a clean Transport interface that completely decouples protocol logic from communication mechanism, allowing the same MCP server code to run over stdio, HTTP, SSE, or custom transports by changing only transport configuration, with no protocol-level code changes
More flexible than framework-specific solutions (e.g., Express-only) because it supports multiple transports and runtimes (Node.js, Bun, Deno) with the same codebase, enabling true write-once-deploy-anywhere for MCP servers
http server transport with streaming and middleware integration
Medium confidenceProvides a Streamable HTTP Server Transport that integrates with Express, Hono, and native Node.js HTTP servers, supporting both request-response and streaming message patterns. Handles HTTP-specific concerns like connection lifecycle, request routing, and streaming response delivery. Includes middleware adapters that wrap the MCP protocol handler as Express/Hono middleware, allowing MCP servers to coexist with other HTTP endpoints in the same application.
Provides framework-agnostic middleware adapters for Express and Hono that allow MCP protocol handling to be composed as middleware alongside other HTTP handlers, enabling MCP servers to coexist with REST APIs in the same application without separate processes
More composable than standalone HTTP servers because it integrates as middleware rather than requiring a separate process, allowing developers to add MCP endpoints to existing web applications without architectural changes
client-side mcp protocol implementation with automatic server discovery
Medium confidenceImplements the MCP client protocol that connects to MCP servers and provides a high-level API for discovering and invoking tools, accessing resources, and requesting prompts. The Client class handles connection lifecycle, message routing, and provides methods like callTool(), listTools(), getResource(), and listPrompts(). Automatically discovers server capabilities during initialization and maintains connection state.
Provides a high-level Client API that abstracts JSON-RPC message handling and automatically discovers server capabilities during initialization, allowing developers to call tools and access resources without manually constructing JSON-RPC messages or managing capability state
More ergonomic than raw JSON-RPC clients because it provides typed methods (callTool, getResource) and automatic capability discovery, reducing boilerplate and enabling IDE autocomplete for available tools
sse (server-sent events) client transport for unidirectional streaming
Medium confidenceImplements a Server-Sent Events client transport that receives server-initiated messages via SSE while sending client requests via HTTP POST. Handles SSE connection lifecycle, automatic reconnection on disconnect, and message parsing from SSE format. Suitable for scenarios where server-to-client streaming is needed but bidirectional WebSocket is not available or desired.
Implements a hybrid SSE+HTTP POST transport that enables server-to-client streaming without WebSocket, using standard HTTP and SSE APIs that work in browsers and restrictive network environments
More compatible than WebSocket in restrictive environments because it uses standard HTTP and SSE, which are less likely to be blocked by firewalls or proxies, while still supporting streaming
oauth 2.0 authentication flow with provider-specific implementations
Medium confidenceProvides OAuth 2.0 client and server implementations for MCP, supporting standard OAuth flows (authorization code, client credentials) with built-in providers for common services. Handles token exchange, refresh token management, and secure credential storage. Integrates with MCP server initialization to require OAuth authentication before tool/resource access.
Integrates OAuth 2.0 directly into MCP server initialization, allowing servers to require authentication before exposing tools/resources, with built-in support for multiple OAuth providers and automatic token refresh
More integrated than external auth layers because it's built into the MCP protocol itself, allowing servers to enforce authentication at the protocol level rather than relying on transport-layer security
session management and resumable connections with state persistence
Medium confidenceImplements session management that preserves connection state across reconnections, allowing clients to resume interrupted connections without losing context. Tracks session ID, message history, and server state, enabling recovery from network failures. Supports both stateless (per-request) and stateful (session-based) operation modes.
Provides built-in session resumption that preserves message history and connection state across reconnections, allowing clients to recover from network failures without manual state management or message replay logic
More resilient than stateless protocols because it tracks session state and message history, enabling automatic recovery from transient network failures without application-level retry logic
experimental task system for long-running operations with progress tracking
Medium confidenceProvides an experimental task system that allows servers to expose long-running operations as tasks with progress tracking and cancellation support. Tasks return a task ID and progress updates, allowing clients to poll for status or receive streaming progress notifications. Enables modeling of async operations like file processing or data analysis.
Provides an experimental task abstraction that models long-running operations as first-class MCP primitives with progress tracking and cancellation, enabling servers to expose async operations with visibility into execution progress
More integrated than polling external job queues because tasks are native MCP primitives with built-in progress tracking, though the experimental status means it's not recommended for production use
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Teams building LLM context providers that need multi-transport support
- ✓Developers creating MCP-compliant tools that must work in diverse environments
- ✓Developers building MCP servers that expose tools to LLMs
- ✓Teams using Zod for runtime type validation in TypeScript
- ✓Complex MCP deployments with dynamic capability requirements
- ✓Applications needing adaptive tool exposure based on context
- ✓Experimental/early-stage features
- ✓MCP servers that need LLM capabilities but don't embed models
Known Limitations
- ⚠JSON-RPC overhead adds ~5-10ms per message round-trip compared to binary protocols
- ⚠No built-in message compression — large context payloads require manual optimization
- ⚠Bidirectional communication requires stateful connection management, not suitable for pure REST architectures
- ⚠Schema validation adds ~10-20ms per tool call for complex schemas with nested objects
- ⚠Zod integration is optional but recommended — raw JSON Schema requires manual schema construction
- ⚠No built-in rate limiting or quota management per tool
Requirements
Input / Output
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Repository Details
Last commit: Apr 21, 2026
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The official TypeScript SDK for Model Context Protocol servers and clients
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