The Rust SDK for building coding agents. Tool execution, LLM streaming, graph memory, sub-agent orchestration, MCP — as composable library functions.

🚀 Curated list of x402 resources: HTTP 402 Payment Required protocol for blockchain payments, crypto micropayments, AI agents, API monetization. Includes SDKs (TypeScript, Python, Rust), examples, facilitators (Coinbase, Cloudflare), MCP integration, tutorials. Accept USDC payments with one line of code. Perfect for AI agent economy.

A high-performance, asynchronous toolkit for building MCP servers and clients in Rust.

Rust SDK for the Model Context Protocol (MCP)

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.

A full featured, enterprise grade rust MCP SDK

BEST Rust SDK for MCP (Model Context Protocol)

Pragmatic AI Labs MCP SDK

[DEPRECATED] Moved to prism-mcp-rs - Enterprise-grade Rust MCP SDK

SDK to build Agents in rust. Build and manage complex, self-correcting agent teams. Launch multi-agent systems via configuration files or using an Agent Factory. It's the robust framework for orchestrating intelligent agents using open standards (MCP, A2A).

Persistent cognitive graph memory for AI agents — facts, decisions, reasoning chains, corrections. 16 query types, sub-millisecond. Rust core + Python SDK + MCP server.

A config-driven MCP server core built on the official Rust SDK. Define tools, auth, prompts, resources, and HTTP behavior in YAML or JSON configuration -- the library handles execution, validation, and protocol compliance with minimal Rust code.

unofficial SDK for MCP servers in Rust

SDK for building Model Context Protocol (MCP) clients & servers — includes transport, discovery, and Tool/Prompt APIs in TypeScript, with Rust & Python coming soon.

A unified Rust SDK for LLMs with multi-provider support, tool execution, structured output, MCP integration, and production-ready agent workflows. Compatible with OpenAI, Anthropic, Google, and DeepSeek.

Extensions to the rust-mcp-sdk crate to build MCP servers in Rust easily

A Rust SDK for the Model Context Protocol (MCP) that reduces boilerplate through a unified `#[mcp_server]` macro.

A rust VTI SDK and MCP Server

A PostgreSQL MCP (Model Context Protocol) server built with [rmcp] the Rust MCP SDK.

Self-adaptive, context-aware Model Context Protocol (MCP) server — Rust core + TypeScript SDK + VS Code extension + Qoder extension

MCP-native embedded memory database for AI agents built in Rust. REMEMBER/RECALL/FORGET/SHARE primitives with hybrid vector search, AES-256-GCM encryption, DuckDB/PostgreSQL backends & SDKs for Python, TypeScript and Go.

Rust SDK for building mcpd plugins

MCP weather server with Rust SDK

ClawNetwork: AI Agent Blockchain - Rust node, TS SDK, MCP server

A Rust openapi chat AI client using the model context protocol (MCP SDK)

Standalone Rust SDK for the A2A (Agent-to-Agent) protocol v1.0 — client, server, coordinator, MCP bridge

Language-agnostic MCP runtime with hot reload, dynamic tool lists, and server-defined workflows. Go binary core with Go, Python, TS, Rust SDKs.

Production-grade Rust video SDK -- HLS/DASH streaming, BOLA ABR, audio fingerprinting, WASM player, formal verification (TLA+). 7 crates, CLI, Python bindings, MCP server.

agentrscpp is a C++17 SDK for building AI agents, ported from the [agentrs](https://github.com/anthropics/agentrs) Rust SDK. It provides a unified provider interface, composable tools, Model Context Protocol (MCP) integration, configurable memory, multi-agent orchestration, and YAML-driven runtime loading using GCC and linked as a static library.

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