Alternatives to Rust MCP SDK

🦀 🏠 - A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform st

](https://glama.ai/mcp/servers/mavdol/capsule-mcp-server) 🦀 🏠 🍎 🪟 🐧 - Run untrusted Python/JavaScript code in WebAssembly sandboxes.

Shodh-Memory is persistent cognitive memory for AI agents and robots that runs as a single binary with no LLM in the loop, no API keys, and no external databases, so it works fully offline. Storing and recalling memories uses local algorithms only: on-device embeddings, a cross-encoder reranker, and local entity and relation extraction that builds a typed knowledge graph; memories that are used often become easier to recall (Hebbian learning) while irrelevant ones decay. It connects to agents over MCP/HTTP and to robots over Zenoh/ROS2.

🦀 🏠 🚨 🍎 🪟 🐧 - A Rust-based MCP server bridging Wazuh SIEM with AI assistants, providing real-time security alerts and event data for enhanced contextual understanding.

📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with lo

](https://glama.ai/mcp/servers/fabio-rovai/open-ontologies) 🦀 🏠 - AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern know

🦀 📟 - A Model Context Protocol server for embedded debugging with probe-rs - supports ARM Cortex-M, RISC-V debugging via J-Link, ST-Link, and more

](https://glama.ai/mcp/servers/teolex2020-aurasdk) 🐍 🏠 — Persistent cognitive memory for Claude Desktop. Sub-ms recall, offline, encrypted.

🎖️ 🏠 ☁️ 📟 🍎 🪟 🐧 - Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections

📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.

🐍 🏠 - A fully-featured coding agent that relies on symbolic code operations by using language servers.

The official Python SDK for the Model Context Protocol. With it, developers build MCP servers that expose tools, resources, and prompts to any MCP host, and MCP clients that connect to any MCP server, over the standard stdio, Streamable HTTP, and SSE transports; it requires Python 3.11+, and the optional CLI extra adds the mcp command-line tool (mcp dev, mcp run, mcp install). It is a development library, not a ready-made data server.