"MDN Web Docs" matching MCP servers:

Inline review comments for markdown specs and design docs. Agents request human review mid-task via MCP and pause until you send feedback.

An MCP server that reads a team's interviews, tickets, and docs to build a model of the product, exposing tools to ask questions, list contradictions and gaps, and draft documents, with all answers citing their source fragments.

MCP server for sharing markdown/text as beautiful, permanent web pages via plsreadme, with tools to share files/text, update and delete docs, and list previously shared links.

MCP server for Drop Beacon (edc4me.com) — search and explore 80,000+ EDC products across 1,000+ brands. Track new drops, compare prices across retailers, check real-time stock availability, and analyze market trends for knives, flashlights, fidget toys, wallets, pens, and more.

Enables AI assistants to retrieve a Wildberries seller's product cards and customer reviews through the official Content and Feedbacks APIs.

Enables coding agents to generate software engineering documents — PRD, SRS, ERD, SDD, design spec, traceability matrix, and agent instructions — as Markdown so they build from written specifications instead of guessing. Unsupplied inputs are marked [NOT SUPPLIED] or UNMAPPED rather than filled with invented data.

TruePPM MCP servers ask real questions of your self-hosted TruePPM instance: the critical path, a Monte Carlo slip forecast, sprint status, the risk register, My Work. Answers are computed server-side by the same CPM/Monte Carlo engine the web UI uses, never guessed by a model, and nothing leaves your box.

Manage your Jumpseller e-commerce store with AI. Create products with variants, process orders, search customers, and organize your catalog.

Enables users to transform raw multi-source enterprise findings into complete, structured strategic documents, auto-generating executive summaries, risk registers, decision matrices, and appendix citations. It runs as a zero-dependency Python MCP server that works with Claude Desktop, Cursor, and other MCP-compatible clients.

A single source of truth for a product's state, roadmap, and deferred work, read and written equally by you and your AI agent via web dashboard and MCP.

Enables AI agents to create local web forms with unlimited brainstorming questions and retrieve user answers as JSON, including support for file uploads.

An MCP server that turns your AI assistant into a structured ideation partner by generating, scoring, critiquing, and storing software ideas locally with a built-in web dashboard.

Enables AI agents to vet and rank product name candidates in batch by checking domain availability, App Store and Google Play collisions, exact-phrase web results, GitHub handles and repos, and trademark register lookups.

Turns the five Playing to Win boxes into queryable data over MCP: list all positions, open one position with its supporting, opposing, and complicating evidence, adopt or reject it with a note, record new evidence, add positions into a box, and organize several cascades of boxes. Read and write tools share the same core and query layer as the CLI and web pages, so every surface stays consistent.

Enables AI-powered duplicate checking and review of project ideas via web search, providing rated reports through the check_idea tool in MCP-compatible clients.

Turns your AI host into a product videographer — scripted screen recordings of your own web app with a gliding cursor, camera zooms, highlight callouts, captions, and branded transitions, plus marketing-grade screenshots. Automatic dark-frame cleanup and MP4/GIF export. Free, MIT, 100% local — no account, no API keys.

Enables AI coding agents to inspect user feedback on live web apps, read full reports and recording timelines, update status, and reply in threads so fixes can be checked and confirmed by reporters.