Tachyon MCP is a high-performance Java 21 server implementing the Model Context Protocol (MCP), designed for building AI agent skills and integrating LLMs with external tools. It supports streamable HTTP transport, protocol extensions, and offers both stateful and stateless modes for flexible deployments, including serverless environments.

Is tachyon open source?

Yes, licensed under Apache-2.0.

tachyon: MCP is a high-performance Java 21 server…

Features

01Full Model Context Protocol (MCP) Implementation: Conforms to JSON-RPC 2.0, Streamable HTTP, and manages session lifecycles with robust error handling and conformance tests.

02Extensible Tool Management: Supports `tools/list` and `tools/call` with input schema validation, synchronous/asynchronous handlers, and optional task support for integrating custom functionalities.

03Robust Task & Session Management: Provides comprehensive task lifecycle control (submit, working, complete, cancel) with notifications, and flexible session management including a stateless mode for serverless deployments.

04High-Performance Transport & I/O: Built on Netty with native I/O (io_uring, epoll, kqueue), utilizes virtual threads, batch flushing, and minimal allocations for optimized performance.

05Dynamic Resource & Prompt Handling: Enables listing, reading, and subscribing to dynamic resources, along with listing and getting prompts via resolver interfaces.

Compatibility

Java

Runtime

Verified via docs

JDK 21+

Requirement

Verified via docs

Netty

Framework

Verified via docs

Serverless (e.g. AWS Lambda)

Deployment

Verified via docs

Quick start

$ git clone https://github.com/kpavlov/tachyon.git

$ cd tachyon

$ mvn install -pl tachyon-server -DskipTests

Use cases

↳Building AI Agent Skills: Develop and expose custom tools (skills) that AI agents can utilize through the MCP server, enhancing their capabilities and interaction with external systems.

↳Integrating LLMs with External Tools: Act as a standardized bridge for Large Language Models to interact with various external services and APIs via defined tools and resources, extending their practical applications.

↳Serverless AI Backend Deployments: Deploy the MCP server in a stateless mode on platforms like AWS Lambda, enabling scalable, cost-effective, and event-driven AI backend solutions.

↳Developing Protocol-Compliant AI Systems: Implement AI systems and services that conform to the Model Context Protocol for standardized, interoperable communication within a multi-agent or LLM ecosystem.

tachyon

Features

Compatibility

Quick start

Use cases

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