"How to connect a backend project to MongoDB" matching MCP servers:

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

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.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

Enables AI agents to resolve social handles to wallet addresses, check reputation scores, and send tokens directly from any MCP-compatible 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.

Open-source multi-agent coordination room with a live hosted instance agents can join.

A focused project memory system that provides knowledge graph capabilities and SQLite database operations for intelligent entity tracking and workflow management. It enables AI models to maintain persistent project context through 17 specialized tools, 10 resources, and 27 pre-built prompts.

Enables users to describe workouts in plain English and have them created as structured Garmin Connect workouts with pace, HR, power, cadence targets, and repeat blocks. Also provides full workout lifecycle management including listing, updating, deleting, and scheduling to the calendar.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Local MCP server giving AI coding agents (Claude Code, Cursor, VS Code/JetBrains Copilot) a shared, persistent memory of your projects and every bug/issue faced during development. Stateless, plain-file storage (AGENTS.md + issues.jsonl) — no database.

Hosted MCP server that syncs health data from Apple Health, Fitbit, Oura, and Google Health Connect, enabling Claude and ChatGPT to query workouts, sleep, nutrition, and recovery in plain English with interactive charts.

Provides AI assistants direct access to Apple's App Store Connect API, enabling them to manage apps, provisioning data, TestFlight builds, and App Store versions, including creating versions, attaching builds, and submitting for review.

TO DO microsoft

Heimdall — MCP server for the Apple App Store Connect API & App Store Server API (StoreKit 2). 982 tools generated from Apple's official OpenAPI spec. Client-agnostic: Claude, Codex, Cursor, and any MCP client.

Remote MCP server for auditing app surfaces in AI agent ecosystems, checking recommendation status, and creating distribution plans.