ultrafast
High-performance, ergonomic Model Context Protocol (MCP) implementation in Rust
claude mcp add --transport stdio techgopal-ultrafast-mcp docker run -i ultrafast-mcp:latest \ --env RUST_LOG="info" \ --env ULTRAFAST_TOKEN="optional_security_token" \ --env ULTRAFAST_CONFIG_PATH="path/to/config.toml (optional)"
How to use
UltraFast MCP is a Rust-based implementation of the Model Context Protocol designed for high performance with ergonomic APIs. It provides a foundational framework (core types, message handling, and utilities) and a server component that can manage MCP sessions, capabilities, and transport layers with robust error handling and observability. The server surfaces a fluent API for configuring handlers, state, and transport, enabling you to build scalable MCP services with minimal boilerplate. Tools and capabilities include modular server construction, trait-based handlers (for tools, resources, prompts, etc.), and integrated observability features like metrics and health checks. When used with the Docker-based deployment image, you can quickly run a production-ready MCP server instance and start negotiating capabilities with clients and transports over STDIO or HTTP as needed.
To use UltraFast MCP in practice, start the server image and connect via a compatible transport (STDIO for local tooling or HTTP/Streamable HTTP for network communication). The framework supports capability negotiation to determine supported MCP features at startup, and it provides structured message handling for JSON-RPC style MCP messages. Combine it with the authentication system for OAuth 2.1 flows and PKCE if you need secure, token-based access in distributed environments.
How to install
Prerequisites:
- Docker installed and running (recommended for quick setup)
- Optional: Rust toolchain and Cargo if you want to build from source
Installation steps (Docker-based):
-
Pull the UltraFast MCP Docker image (or build locally if you have a Dockerfile): docker pull ultrafast-mcp:latest
-
Run the MCP server container with an interactive session: docker run -i ultrafast-mcp:latest
-
Configure environment variables as needed for your environment, such as:
- RUST_LOG (log level), e.g., info, debug
- ULTRAFAST_CONFIG_PATH (path to configuration file, if applicable)
- ULTRAFAST_TOKEN (optional authentication token for secured deployments)
If you prefer building from source (Rust/Cargo):
- Ensure Rust toolchain is installed (rustup install stable).
- Clone the repository and navigate to the ultrafast-mcp repository.
- Build the core crates and server: cargo build --release
- Run the server binary directly (example, replace with actual binary name): cargo run --release --bin ultrafast-mcp-server
Note: The README describes a modular Rust ecosystem with core, server, client, transport, and authentication crates. The Docker path is recommended for quick deployment, while native builds enable custom deployments and fine-grained optimizations.
Additional notes
Tips and common considerations:
- If you’re deploying in production, enable observability: metrics exporters (Prometheus, JSON), OpenTelemetry tracing, and health checks.
- Use the authentication module (OAuth 2.1 with PKCE) for secure MCP interactions when exposing the server publicly.
- For transport, STDIO is great for local development and testing, while HTTP/Streamable HTTP is recommended for scalable network deployments.
- Capabilities negotiation helps clients discover supported MCP features at startup; ensure your server advertises the correct capability set.
- Environment variables can control logging, config paths, and security tokens; keep sensitive values in a secure vault or orchestrator secrets store.
- If you encounter JSON schema issues, rely on the automatic schema generation features from the core utilities to validate messages and ensure protocol compliance.
Related MCP Servers
ai-trader
Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.
robloxstudio
Create agentic AI workflows in ROBLOX Studio
mcp
🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and connect to Claude, Cursor, and more.
mcpcat-python-sdk
MCPcat is an analytics platform for MCP server owners 🐱.
packt-netops-ai-workshop
🔧 Build Intelligent Networks with AI
engram-rs
Memory engine for AI agents — time axis (3-layer decay/promotion) + space axis (self-organizing topic tree). Hybrid search, LLM consolidation. Single Rust binary.