"How to Search for Legitimate Email Addresses" matching MCP servers:

A lightweight Model Context Protocol (MCP) server that enables your LLM to validate email addresses. This tool checks email format, domain validity, and deliverability using the AbstractAPI Email Validation API. Perfect for integrating email validation into AI applications like Claude Desktop.

An MCP service that enables AI to fully manage email accounts, supporting sending emails with attachments and multiple recipients across various email providers.

A Model Context Protocol server that enables AI models to send emails via simple tool calls, supporting both plain text and HTML formats with JWT authentication.

using aigeon.ai as ESP to send emails

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

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

Indexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.

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

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

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

Provides a local MCP server for inspecting offline .eml files without network access, exposing a single tool to generate redacted JSON summaries with nested-message and delivery-status details.

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.

Multi-account IMAP/SMTP email MCP server with 22 tools — read, send, search, organize, thread, attachments, and batch operations. Features connection pooling, rate limiting, retry with backoff, and OAuth2 device-code flow. Written in Go.

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.