"Using Google to Send Emails and Update Calendar" matching MCP servers:

Enables agents to verify an email list before sending, returning a pass/fail plus keep, remove, and review categories with reasons. It exposes check_emails and check_file tools over stdio, with optional Analyzemail mailbox verification.

Enables comprehensive calendar management with capabilities to create, list, update, and delete events through a Model Context Protocol server integrated with Google Calendar.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

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

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables AI assistants to interact with GitHub project boards as calendar events, analyze team workloads, and provide scheduling insights. Supports team status tracking, workload distribution analysis, and smart task assignment recommendations.

A Model Context Protocol server that converts Markdown content to HTML format.

A Model Context Protocol server that enables direct integration with macOS Calendar application using AppleScript, allowing users to create, list, and search calendar events without requiring OAuth setup.

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

Generates standalone, human-readable MCP servers from RAML 1.0 or OpenAPI 3.x specs, exposing one tool per resource and method that makes real HTTP calls. It understands Mule/Anypoint auth patterns such as Client ID enforcement and OAuth2, wiring the expected credentials from environment variables at call time.

Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

Enables AI assistants to call any SOAP/WSDL web service as MCP tools, automatically converting each WSDL operation into a callable tool with authentication and security controls.

Enables management of multiple Google Calendar accounts with support for searching, creating, updating, and deleting events on primary calendars through natural language, with encrypted credential storage.

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

Turns any OpenAPI/Swagger or REST API into callable MCP tools for Claude, ChatGPT, Copilot, and Cursor, with secure authentication and role-based access control.