"LLVM compiler infrastructure and toolchain" matching MCP servers:

A Model Context Protocol server that connects LLMs to the Compiler Explorer API, enabling them to compile code, explore compiler features, and analyze optimizations across different compilers and languages.

Enables compilation of Delphi (RAD Studio) Object Pascal projects through natural language commands. Supports automatic Debug/Release builds for Win32 and Win64 platforms using the native Delphi compiler toolchain.

Paid remote MCP for ZeroLang, providing tools to compile ZeroLang programs, run fixtures, explain compile errors, and export agent plans, with structured receipts and audit logs.

Enables compiling source code and exploring assembly outputs via the Godbolt Compiler Explorer API. Supports multiple languages, compilers, and optimization levels.

Enables AI assistants to compile Delphi projects and single units directly through the Model Context Protocol. It features automatic compiler detection via the Windows registry and supports MSBuild with full build event integration.

A comprehensive implementation of Model Context Protocol servers enabling natural language interactions with security platforms including Splunk SIEM, CrowdStrike EDR, and Microsoft MISP for threat intelligence querying and analysis.

A simple server that acts as a Master Control Program (MCP) for unified interaction with OpenAI and Anthropic (Claude) AI models through a single API endpoint.

A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.

MCP server for the Tolk smart contract compiler on the TON blockchain. Compile, syntax check, deploy link generation, language docs, stdlib, and contract prompts.

Enables AI coding agents to compile Delphi projects programmatically by parsing .dproj files, executing the Delphi compiler, and returning structured error results with multi-language support and automatic configuration generation from IDE build logs.

Gives AI assistants a genuine Borland Turbo C 3.0 toolchain via MCP, enabling compile and run of real 16-bit DOS C programs with diagnostics and classic examples.

An MCP server for LaTeX that enables AI assistants to check documents for errors, parse compiler logs, and compile LaTeX files, helping them fix documents instead of guessing.

Provides AI assistants with a complete FPGA toolchain for HDL linting, simulation, synthesis, and place-and-route across various hardware targets. It features a GitHub-backed IP core registry that enables users to search for and import MIT-licensed cores directly through their chat interface.

Exposes local NVIDIA GPU (CUDA) and Rust-to-WASM toolchain as MCP tools for sovereign local compute.

An MCP server that enables AI platforms to interact with YepCode's infrastructure, allowing LLM-generated scripts to run on YepCode and turning YepCode processes into powerful tools that AI assistants can use directly.

A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript with a complete layered architecture pattern. Includes a working IP geolocation example and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.

Provides dynamic, context-aware code assistant skills through hybrid RAG (vector + knowledge graph), enabling runtime skill discovery, automatic toolchain-based recommendations, and on-demand loading from multiple git repositories.

A Node.js package providing Model Context Protocol server infrastructure for AWS Lambda functions with streaming response capabilities through Server-Sent Events.

Enables running code generation, deterministic compiler validation, sandboxed tests, and contract checks entirely on local hardware, with autonomous self-healing loops and compact telemetry receipts for orchestrator models.

Turns any YAML manifest into a fully-functional MCP server without hosting infrastructure, enabling custom tools, resources, and prompts via declarative configuration.