"Connecting OpenAI Codex with antigravity concepts or technology" matching MCP servers:

Provides MCP tools to list and search OpenAI Agents SDK documentation, enabling LLMs to retrieve documentation topics and content via natural language queries.

An MCP server that provides deep knowledge about OpenAI APIs and SDKs, enabling users to query technical information through various MCP clients including ChatGPT Deep Research, Cursor, and OpenAI Responses API.

MCP server that enables AI programming tools to search, read, and use a remote library of 180+ professional development skills, with incremental caching and network acceleration for fast access.

Provides project-aware context for coding agents by selecting relevant AGENTS.md, docs, module paths, and decision records based on task, reducing redundant context loading via MCP stdio.

Enables AI clients to read PDFs and selections from Zotero, edit Better Notes in real time, and synchronize Markdown notes.

Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

An intelligent MCP server that serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

Provides AI agents with up-to-date documentation for the Antigravity IDE, including a built-in scraper and tools to list and search docs.

DocPull v6 is a local-first MCP server that turns public web sources into cited, versioned context packs for AI agents, RAG systems, and developer workflows. It can fetch and sync public static and server-rendered sources such as changelogs, standards, API references, OpenAPI specs, feeds, repo/package metadata, papers, filings, pricing pages, blogs, and other web sources.

MCP server for Apple HIG compliance auditing, providing tools to list skills, search/lookup HIG references, audit files/projects, and explain findings.

Enables Codex to access Feishu knowledge bases and authorized shared cloud drives, allowing listing, searching, and reading wikis, documents, spreadsheets, bitable, and files, with scoped and approval-gated create and edit capabilities.

Enables hybrid search (BM25 + semantic with RRF) over documentation, with Thai language support. It exposes MCP tools for adding documents and searching via Qdrant and Ollama/OpenAI, using a stateless Streamable HTTP transport.

A Model Context Protocol server providing standardized access to Bible data resources, allowing LLMs to query various Bible translations, verses, and chapters.

Provides AI assistants with direct access to Jamf official documentation, enabling them to answer Jamf-related questions by searching, retrieving articles, and browsing product documentation.

Hosted MCP gateway to the RTP global commons of neighborhood practice and relational tech knowledge. AI builders can query 275+ recipes, frameworks, and methodology docs for community organizing.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

stdio server to read markdown with images or index markdown headings from a file, folder or URL

Python Docs MCP Server gives AI coding agents local access to the official Python standard library docs. It can look up docs by Python version, return specific sections, and keep answers compact for clients like Claude Desktop, Cursor, and Codex. It runs without API keys or a hosted service.