"Interaction or Feedback Enhancement to Increase Frequency/Attempts" matching MCP servers:

MCP server for Salesforce Interaction Studio that enables listing and managing datasets, campaigns, segments, and performance stats via natural language.

Drug-drug interaction checker for clinical LLMs, wrapping RxNorm, openFDA, and DailyMed to provide interaction severity, dose guides, and alternative recommendations.

A lightweight MCP server that enables AI assistants to collect interactive user feedback via a browser window with full Markdown rendering and syntax highlighting.

Enables users to enhance rough prompts into more detailed, clear, and effective versions using multiple AI providers like Anthropic, OpenAI, and Gemini. Supports custom templates and integrates with any MCP-compatible client.

Collect and analyze user feedback from any app via a single API endpoint, with MCP tools for listing, searching, and stats.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Serves approved lessons learned from past corrections to coding agents, delivering task context and file-scoped lessons before work starts and checking finished work against them before the agent declares done. It also exposes module facts, dependency impact, and past misses tied to specific files.

An MCP server for reviewing markdown plans before AI agents implement them. Enables annotation of plans with Fix, Question, and Highlight, which AI agents can read directly through MCP.

A cross-platform screenshot tool that lets coding agents capture and view their output, enabling self-correction through visual feedback.

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

Enables AI assistants to access TestFlight beta tester feedback, including screenshots, crash logs, and text comments from App Store Connect. It works across any platform without requiring Xcode, using official API keys and optional browser automation for full text feedback.

Enables Claude to collect and search for product feedback directly from Slack workspaces. It provides tools for pulling stakeholder messages with date filtering, retrieving full conversation threads, and searching feedback by keywords.

Enables users to collect, search, and retrieve product feedback and full conversation threads directly from Slack channels. It supports filtering messages by specific stakeholders and time ranges to facilitate efficient feedback analysis.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

A Model Context Protocol server that converts Markdown content to HTML format.

Provides video enhancement capabilities through MCP tools for creating, monitoring, and synchronously processing video enhancement tasks with configurable resolution options.

Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.