fastmcp-ts
Active·★ 78·Updated 2026-10-20
fastmcp-ts is a TypeScript framework designed for building Model Context Protocol (MCP) servers, clients, and interactive applications. It simplifies the integration of LLMs by enabling the creation of tools, resources, and prompts, and provides robust features for context management, middleware, and multi-server communication.
#TypeScript#Model Context Protocol#LLM Integration#API Framework#Developer Tooling#Server Framework#Client Library#Generative UI
01
Features
01Build MCP Servers with automatic schema inference from standard schema libraries like Zod, Valibot, and ArkType.
02Implement context-aware handlers that access logging, progress reporting, LLM sampling, and per-session state without prop-drilling.
03Connect to and interact with single or multiple MCP servers using a powerful client library, including LLM sampling adapters.
04Develop interactive UIs and backend tools that render directly in MCP host conversations, supporting built-in and generative UI components.
05Utilize a comprehensive Command Line Interface (CLI) for running, inspecting, calling components, listing, and developing MCP servers.
02
Compatibility
TypeScript
Runtime
Verified via docs
Zod
Schema Inference
Verified via docs
Valibot
Schema Inference
Verified via docs
ArkType
Schema Inference
Verified via docs
Anthropic
LLM Integration
Verified via docs
OpenAI
LLM Integration
Verified via docs
03
Quick start
1
$ npm install @prefecthq/fastmcp-ts
04
Use cases
↳Developing LLM-powered agents that can interact with external tools, resources, and human users through interactive UIs.
↳Creating custom AI assistants with integrated prompts, data access, and sophisticated conversational interfaces.
↳Orchestrating complex workflows involving multiple MCP services and diverse LLM interactions in a unified framework.
↳Building secure and robust MCP services with built-in authentication (JWT) and middleware for logging and rate limiting.
↳Integrating various LLM providers (Anthropic, OpenAI, Google) into a unified ecosystem for sampling and content generation.
05
Alternatives
deepseek-mcp-server★ 26
MCP server for DeepSeek V4 (v4-flash, v4-pro, 1M context): chat, reasoning, function calling, thinking mode, cost tracking. deepseek-chat/reasoner aliases supported.
llmtrim★ 254
Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift).
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