"author:johannschiffer" matching MCP servers:

Enables AI agents to fetch web pages, convert them into token-efficient semantic Markdown, and extract hyperlinks and page metadata while rotating realistic browser fingerprints to reduce anti-bot blocks.

A lightweight MCP server that lets AI agents send real-time alerts, operational notifications, and webhook messages through Telegram bots and Discord webhooks without exposing primary API keys or relying on heavy middleware. It provides tools for delivering Markdown-formatted Telegram messages and rich Discord embed cards, plus a channel status/health check.

Enables AI coding assistants to analyze DDL migration scripts before execution, flagging table-locking, destructive, and backward-incompatible changes, estimating lock duration and risk, and inspecting schema diffs through MCP tools.

Enables AI agents to navigate headless web pages, extract token-efficient accessibility trees and clean text, and interact with elements via stable node identifiers. It reduces context usage by converting pages into compact AOM structures and supports clicking, form filling, and page status checks.

The server enables AI agents to define and execute predictable, multi-step data pipelines using a declarative workflow graph. It guarantees deterministic execution order and provides visual representations of the data flow without relying on heavy cloud orchestrators.

Enables AI agents to generate structured PRDs, decompose epics into testable user stories, validate Given/When/Then acceptance criteria, and export markdown backlogs.

Enables AI browser agents to classify static assets and route each request to direct, datacenter, or residential proxy tiers so heavy media and fonts avoid expensive paid bandwidth. It also generates rotating modern browser evasion headers and reports real-time megabyte and dollar savings from the traffic diverted.