"Methods to Communicate with AI Platforms: Litellm, GroqAI, and OpenAI" matching MCP servers:

Enables selected internal Convex functions to be exposed as authenticated MCP tools, with generated schemas and WorkOS-backed organization/user authorization so clients can discover and execute them.

Enable AI agents such as Claude, Co-Pilot, Codex and other compatible tools to create, manage, and optimize advertising campaigns on ChatGPT.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

Exposes LiteLLM Proxy admin APIs as MCP tools for managing internal users, virtual keys, and spend logs via streamable-http, enabling agents to administer LiteLLM without custom HTTP glue.

Lets an AI coding agent offload low-complexity, monotonous tasks to a cheap local or OpenAI-compatible model that runs its own server-side tool loop for reading, searching, and staging file writes, so large file contents and intermediate steps never enter the caller's context. Also provides summaries, extraction, classification, bulk file mapping, staged-diff review, model management, and session token-savings reporting.

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

Typed MCP server for OpenAI Ads and ChatGPT Ads via the Advertiser API. Supports account, campaign, ad group, ad, creative, audience, insight, and conversion tools with readonly mode and guarded writes.

Enables AI assistants to read a ChatGPT Ads account — account summaries, performance insights, campaigns, ad groups, ads, product feeds and conversion setup — and, when writes are explicitly enabled, create or update campaigns, budgets and creatives with dry-run previews and before/after diffs.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Enables Claude to access OpenAI's chat models such as GPT-4o and o1 through natural language prompts.

Enables management of OpenAI Ads campaigns, ad groups, ads, and insights through MCP, with approval-gated live mutations for safe write operations.

Lightweight MCP server using OpenAI Responses API with built-in web search, enabling AI assistants to answer questions with citations and search results.

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables AI agents to create and edit pixel art in a live Aseprite window, with tools for drawing, selection, transformation, and animation.

An MCP server for generating and editing images using OpenAI's GPT Image and DALL·E models. It provides tools for image generation, editing, variation creation, and model listing with support for multiple AI models.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

A local MCP server that provides OpenAI GPT text generation and image generation over standard input/output.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.