"A service for essay editing and feedback" matching MCP servers:

Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.

MCP server providing feedback-oriented development workflows with a Web UI and desktop application for interactive user confirmation, session tracking, and smart prompt management.

Establishes feedback-oriented development workflows with Web UI and desktop app, enabling AI to confirm with users before actions and consolidate tool calls into feedback requests.

Establishes feedback-oriented development workflows with Web UI and desktop application dual interfaces, enabling AI to confirm with users and consolidate tool calls into feedback requests to reduce costs and improve development efficiency.

Establishes feedback-oriented development workflows with dual Web UI and Desktop interfaces, enabling AI to confirm with users before actions and consolidate multiple tool calls into a single feedback request.

MCP server that synthesizes user feedback from multiple sources into actionable insights. Aggregates reviews, support tickets, and survey responses to identify patterns and priorities.

A community-maintained fix for the MCP Feedback Enhanced server, resolving image attachment serialization, web panel 500 errors, and extending default timeout for long-running feedback sessions.

Enables AI agents to read and create customers, jobs, estimates, invoices, calendar tasks, equipment, technicians, and reference data through the documented Service Fusion REST API, handling OAuth 2.0 and pagination automatically.

Establishes feedback-oriented development workflows with Web UI and desktop application interfaces, enabling AI to confirm with users and consolidate tool calls into single feedback requests.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

A multi-modal user intent collection MCP server that allows AI agents to ask users questions and receive text/image replies.

A single-process MCP server that crawls web pages, handles anti-bot challenges, converts HTML to Markdown, and caches results in PostgreSQL, providing tools to fetch and read web content.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.