"How to generate HTML code from Figma design files" matching MCP servers:

A Model Context Protocol server for Zoho Site24x7 that uses a JavaScript sandbox to execute API calls, enabling management of monitors, accounts, and MSP/BU tenancy through natural language.

Maintenance, recovery, and observability for Claude Code. CLI + MCP server + dashboard.

Surface Claude Code token usage, estimated cost, and plan-limit status in any MCP client. Enables agents to query usage data from local logs and Anthropic API.

Claude Code token usage and cost visibility for MCP-capable agents.

Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.

Provides tools to search for apps and music via the iTunes Search API and monitor the operational status of various Apple system services.

Enables AI assistants to manage multi-cloud resources (AWS, Azure, GCP) including resource operations, cost analysis, monitoring metrics, and security compliance checks through natural language commands.

Enables auditing and monitoring of AI agent MCP tool calls, with behavioral anomaly detection, lab-scoped red-team simulation, and Telegram notifications.

A read-only MCP server that exposes controlled SSH tools to inventory, document, and prepare operations on WealthTech servers for AI assistants like ChatGPT and Codex.

Read-only MCP server that surfaces UniFi network data from a UCG-Fiber console to Claude, enabling monitoring of hosts, sites, devices, clients, ISP metrics, and device stats via read-only API tools.

Automates three core workflows for Sangfor Engineer: project all-in-one (Excel to guide to validation to report), equipment health check, and Obsidian wiki integration.

An MCP server that monitors 12 Australian SMB intelligence sources to analyze market signals and provide structured data for content strategy agents. It enables users to track regulatory changes, AI trends, and business data through automated signal grading and Slack integration.

Token usage and estimated cost for Claude Code, Codex, Cursor and 20 more AI coding agents, read locally from their session files. No API key, no telemetry.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

Ask your AI agent about your MCP servers: which tools fail, how a release compares, what clients look for and do not find. Reads from mcpspan with a read token.

Enables AI agents to audit Core Web Vitals, transform HTML for speed, generate PWAs, and export performance configurations via the Model Context Protocol.

Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.

Exposes local Reqable network capture traffic to MCP clients for real-time monitoring and analysis of HTTP requests. It enables developers to query, search, and generate code from captured traffic stored locally within a private SQLite database.

Automatically reads Sentry issues, investigates them by analyzing your Ruby codebase, explains why issues happened, and provides fix suggestions.

Local MCP server for observing and controlling an authorized Android device over USB using ADB and scrcpy, providing screen capture, UI automation, app inspection, logcat, and evidence recording.

MCP Server for notify to telegram / weixin

An open-source MCP server that collects errors from browser console and terminal, then uses OpenRouter's free AI models to generate summaries for AI agents.

Enables LLMs to analyze logs by extracting patterns, redacting secrets, and providing token-efficient summaries from files, Docker containers, or journald.

Local stdio MCP server that gives AI coding agents (Claude Code, Cursor, Windsurf) read-tools over TraceBug bug-report .html files — session replay, console errors with stacks, network activity, and a millisecond repro timeline. All data is read from local disk; zero network connections. Free, MIT. Unedited crash-to-root-cause transcript: tracebug.dev/proof

Use the microservice of testraptor

Exposes configured log files as MCP tools, enabling agents to list, query, and follow logs from local and SSH sources.

A FastMCP-based tool for analyzing logback log files to detect code defects and generate automated fix suggestions. It features intelligent stack trace filtering and token optimization to efficiently identify and resolve application errors.

Enables Claude Code users to inventory the MCP servers, skills, commands, agents and plugins installed on their machine, estimate how many tokens each one adds to every request, and switch them off per project or globally, including across other AI coding tools. It also monitors live sessions to report real token usage and the savings achieved from disabled items.

Connects AI assistants to live site data so they can answer questions about crawling, indexing, Search Console performance, keyword gaps and how AI engines describe a brand. Runs technical audits, keyword research, content workflows and client reports directly from the chat.

Enables agents to look up and search servers from the official MCP registry, probe any server live for availability, protocol, auth, tools and context-token cost, and retrieve registry-wide statistics. Also supplies a CLI and GitHub Action that measure how many tokens your own configured servers' tool definitions consume against a budget.

Logs LLM interactions to local CSV or Markdown files with automatic categorization for detailed tracking. It provides an interactive HTML dashboard to visualize query volume, model usage, and category distribution.

Enables comprehensive analysis of Apache Spark event logs from S3, HTTP, or local sources, providing performance metrics, resource monitoring, shuffle analysis, and automated optimization recommendations with interactive HTML reports.

Analyze AI conversations to estimate token costs, detect waste, and generate optimized prompts directly from your editor.

Enables AI assistants to execute SQL, explore database schemas and sample data, inspect system metrics, and generate Plotly charts from query results.

Handles log file management and analysis with tools to list, read, search, filter, and generate analytics on log files.

An MCP server for retrieving and filtering logs from Mezmo with a quota-conscious design and intelligent defaults. It enables users to discover and query logs by application, level, and custom time ranges to streamline debugging while minimizing API usage.

An MCP server that provides typed, audited, least-privilege tools for monitoring AWS infrastructure and GitHub pipelines, including instance health, service status, logs, deployment status, CI workflow runs, failed jobs, and PR checks.

A containerized server that enables AI clients to perform automated network packet analysis, protocol inspection, and traffic forensics using Wireshark/tshark. It features a stateless design that synchronizes PCAP files directly from GitHub for secure and ephemeral analysis sessions.

Provides statistical analysis and usage tracking for Claude Code, enabling users to query daily/monthly stats, compare users, analyze trends, detect anomalies, and generate usage reports through natural language.

Enables AI assistants to execute SQL, explore schemas, retrieve internal metrics, generate Plotly charts, and obtain table/database overviews from a connected data warehouse.