"Guide to Creating Google Calendar Events" matching MCP servers:

Enables AI assistants to manage events, venues, organizers, and tickets on WordPress sites via CRUD operations.

Turns ordinary third-party provider webhooks, starting with Resend inbound email, into MCP Events that agents can subscribe to and act on. Hookdeck Event Gateway verifies, stores, filters, dedupes and retries delivery to each subscriber's callback, while the server exposes event catalog, subscribe/unsubscribe, and past-event lookup tools.

Enables querying and triaging SEC 8-K events through a pre-classified mirror.

Enables creating and managing webhook subscriptions for blockchain events such as new blocks, confirmed transactions, and token transfers across major blockchains (EVM, UTXO, Solana, XRP).

Enables agents such as ChatGPT to subscribe to events happening behind an MCP server (for example, order.created with filters) and receive them as signed webhooks without the builder implementing delivery itself. Hookdeck Outpost handles filtering, Standard Webhooks signing, retries, and delivery to each subscriber's callback URL.

Enables calendar management via Infomaniak's API, allowing users to list calendars, search events, and create events.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Enables Large Language Models to interact with Google Ads API for querying campaigns, ad groups, and performing mutations like creating budgets and ads.

Official Google Analytics MCP Server

MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

MCP server that provides live event search, explainable recommendations, night planning, and agentic ticket purchase with safety rails, using Dizko's event inventory.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

What is PandaDoc MCP? PandaDoc MCP (Model Context Protocol) server connects AI agents directly to PandaDoc's document workflow — creating, sending, and tracking contracts and agreements without leaving your AI client. How to use PandaDoc MCP? To use PandaDoc MCP, connect your PandaDoc account, provide the required API credentials, and configure the appropriate MCP client.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

Provides Figma design context to AI agents, enabling code generation, design system integration, and canvas manipulation through MCP.

Enables autonomous scheduling of creator content deliverable calendars and embargo wave campaigns through natural language, integrating with MCP-compliant clients for deterministic, zero-dependency execution.