"Browser Automation Tools" matching MCP servers:

Enables natural-language control of e-commerce operations including product management, order processing, inventory tracking, customer service, content generation, and advertising analytics through 15 integrated MCP tools. Provides a local-first commerce automation solution with SQLite storage and extensible channel adapters for end-to-end online store workflows.

Connects AI tools to the Dovetail API, enabling them to interact with Dovetail features.

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

A federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.

Enables external agents to inspect and interact with a local single-project workbench via MCP, providing read-only tools for state, audit, resume, readiness, comparison, impact preview, and repair candidates, while proposals are saved for manual confirmation in the workbench.

Enables Claude Code to run multi-round grilling sessions in a browser UI, publishing rounds of questions with options and recommendations that users answer with buttons or free text. Supports per-question asides (re-pitch, visual diagram, plain-language explainer), chat notes between rounds, and a polling contract so sessions can stay open without blocking the client.

A demo MCP server exposing an in-memory todo list via tools (add_task, list_tasks, complete_task), a resource, and a prompt, over both stdio and HTTP transports.

Enables users and AI agents to collaboratively create and edit live boards of cards, connections, groups, and notes, with changes synced instantly between the browser and agent.

Enables read-only Jira Data Center insights by default, with opt-in audited write tools, sprint and release health summaries, and structured issue search via MCP.

Enables AI agents to query Mixpanel event data, funnel conversion rates, and retention cohorts via MCP tools or natural language.

MCP server for noise-reduced X (Twitter) search planning and Feedback-to-Fix engineering handoffs. Enables AI agents to generate structured search plans, filter signals, and build handoff packages via MCP tools.

Integrates with Aha.io product management platform, enabling offline data synchronization, semantic search, and workflow automation via natural language.

Integrates AI assistants with product management tools like Linear and Slack, providing specialized agents for discovery, strategy, prioritization, roadmap planning, and metrics definition via the Model Context Protocol.

Turns an unstructured business note into deterministic, explainable signals for revenue, automation, risk, urgency, and data, returning a score, priority, evidence, and a suggested next action. This lets an AI assistant assess and prioritize business opportunities through an auditable, locally computed tool.

Enables coding agents to access structured product context (decisions, goals, evidence) from meetings and tools, ensuring they build from actual product decisions.

Provides MCP tools for AI agents to create and read decision decks, propose cards and build plans, and retrieve finished tasks, enabling local decision review workflows with portable task handoffs.

Enables consumers, developers, and innovators to browse and filter a catalog of credit, wealth, insurance, and treasury product types, enroll in products, build and publish apps, and create, test, and publish new products through role-scoped tools.

MCP server for ListenME — product research task management via Boxverse AI. Provides 21 tools for managing research tasks, reviewing user feedback, and generating insights.

Enables autonomous agents to turn high-level project goals into structured user stories, verifiable Gherkin acceptance criteria, edge cases, and OpenAPI-compatible API contract skeletons through MCP tools.

Calculates ROI, break-even, and cost projections for AI agents and automation projects, providing instant answers without external APIs.

Enables interaction with Posthog through a standardized MCP interface, providing access to Posthog's tools and services for analytics and product management.

Enables AI agents to interact with Plane project management APIs, offering tools for managing projects, work items, cycles, modules, initiatives, and more through MCP.

An MCP server that integrates with the Perdoo OKR platform, providing tools to manage objectives, key results, initiatives, KPIs, and strategic pillars.

Feedback Analyzer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Generates structured, validated PRDs from feature descriptions via a staged reducer pipeline. Provides MCP tools for pipeline control, section/document validation, context budgeting, and failure-to-retrieval mapping.

Enables any MCP host to search and retrieve public job listings from yuancheng.work through the search_jobs and get_job tools, with read-only access and soft location filtering.

Exposes MCP tools over Streamable HTTP that turn ranked Sygnal signals into voice-ready buyer-intent briefings with analyst verdicts, card and carousel payloads, and session state for a simulated Alexa+ experience. It also surfaces the next recommended action so a voice assistant can guide users through follow-ups, with fallback fixtures when the live signal feed is restricted.

Enables ChatGPT to read and update a project board across five status stages, link conversations to ideas, and synchronize conversation-driven progress through MCP tools.

Read-only MCP server that allows interaction with a Jama Connect instance via tools, wrapping the official py-jama-rest-client library.

Gives Claude four decision tools for product management: rank backlog, mine customer feedback, size sprint capacity, and trace dependency risk, all grounded in JSON data.