"LLVM compiler infrastructure and toolchain" matching MCP servers:

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Your agents, briefed. Not flooded. Self-hosted context compiler: git-backed team knowledge served to coding agents as token-budgeted bundles over MCP.

Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.

MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.

Serves always-fresh official Zig documentation for the latest release, curated performance guidance, and safe dry-run-based toolchain auto-updates.

A specialized architecture design MCP server that enables AI-assisted developers to plan optimal system structures through interactive consultations. It generates structured ARCHITECTURE.md and .ai-context.yaml files to guide AI coding tools in building scalable and cost-effective infrastructure.

Enables assistants to access Miliastra Wonderland development knowledge, including skill drafts, official documentation lookup, troubleshooting diagnostics, minigame checklists, and community toolchain guidance.

MCP server for retrieving Fict documentation, running compiler/ESLint/TypeScript diagnostics, and generating shareable Playground links.

Enables AI assistants to search CNKI (China National Knowledge Infrastructure), download PDFs, and import them into Zotero with automatic PDF attachment.

An MCP server that exposes aihu_example and aihu_validate tools over stdio, enabling cookbook retrieval and compiler-verified validation for Aihu.

Network and infrastructure documentation. Query and update sites, racks, devices, subnets, IPs, VLANs, VRFs, cables, MAC addresses, and contacts.

A lightweight, zero-config MCP server that makes documentation and API specifications instantly accessible to AI models using the llms.txt standard. It enables searching and retrieving full documentation, OpenAPI, and AsyncAPI specs without requiring a complex RAG infrastructure or vector database.

Enables interaction with 0G.AI decentralized infrastructure including documentation access, storage operations (file upload/download, key-value store), and AI service discovery on the 0G Compute Network with TEE verification and pricing information.

A local document intelligence and knowledge management server for Claude Desktop that provides RAG-powered Q\&A, media transcription, and URL crawling. It features 11 tools for processing various file types and managing a persistent local vector store with zero infrastructure costs.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.

Provides AI assistants with current Ionic Framework v9 and v8 documentation, including component API references, usage examples for Angular, React, Vue, and vanilla JavaScript, and Ionic blog posts. Enables searching docs, reading pages, listing components, retrieving usage examples, and listing blog posts.

An MCP server that provides AI clients with access to developer documentation via llms.txt files. Exposes tools, resources, and prompts.