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"Developing a Bulk Email System" matching MCP servers:

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    Enables sending emails through AWS Simple Email Service with support for single emails, bulk personalized emails, and template management. Deployed on Cloudflare Workers for fast, global edge performance with full TypeScript type safety.
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    A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
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    调用官方智睦云打印服务(any.webprinter.cn),支持查询打印机、上传本地文件、创建漫游打印任务、直接打印到指定设备,以及分别更新单双面、颜色、份数和纸张等打印参数。
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    MIT
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    Enables AI agents to send emails via Cloudflare's Email Service. Provides both MCP server integration for AI tools and a REST API for traditional applications with support for HTML content, attachments, and secure authentication.
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    MIT
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    Enables AI agents to send emails via Microsoft 365/Office 365 using app-only authentication and Microsoft Graph API, supporting HTML content, attachments, and CC/BCC.
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    Build and run a complete backend from your agent: relational data with row-/field-level security, full-text + semantic + geo search, RBAC and BYOK, a workflow/automation engine, a growth & retention engine (email, push, promotions, per-user referral codes, rewards and points), payments and marketplace billing, and a growing catalog of integrations – the whole Anythink platform as one CLI-backed MC
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    MIT
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    MCP server that lets AI coding agents (Claude Code, Cursor, Cline) audit Supabase projects for security misconfigurations AND apply the fixes — without leaving the agent. Tools: audit_project, list_findings, preview_fix (BEGIN/ROLLBACK safety), apply_fix (with confirmation), apply_all_fixes (transactional bulk). Closes the audit-fix loop entirely in the agent — other Supabase scanners only report.
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    Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.
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    MIT