"Tools for enabling LLMs to interact with web pages and perform end-to-end testing" matching MCP servers:

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

Official MCP server for Shipmail, enabling agents to manage domains, mailboxes, messages, threads, webhooks, and suppressions via natural language.

repo-release-tools mcp-server automates the software release process by managing version bumps, changelog generation, and releases. It streamlines repository maintenance by handling repetitive release tasks directly through your AI assistant.

Enables LLMs to drive Blender through socket-based two-way communication, letting them create and modify 3D objects, apply materials, run Blender Python, and fetch or generate assets while visually verifying results. Supports prompt-assisted 3D modeling, scene creation, and manipulation.

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

Enables AI assistants to search real products, purchase with user approval, track deliveries, and run a seller business end to end via the Firestarter commerce platform.

Enables MCP-capable LLMs to generate and render ephemeral Prefab UI interfaces at runtime, with tools for generating UI code and searching Prefab components.

Publish Markdown or HTML to a shareable link from your AI assistant, then list, inspect, update or delete your pages. Six tools cover publishing, page management and account usage. Connect through hosted Streamable HTTP with OAuth, or use an API key for headless clients.

Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

A production-ready admin bundle for the n8n-mcp server, featuring a web GUI, token-authenticated reverse proxy, and tool management to let AI assistants interact with n8n workflows.

Connects AI assistants to web page content and Google search results, enabling them to retrieve HTML, Markdown, or screenshots from a URL, run Google queries, and check account plan and token usage. It supports hosted OAuth sign-in as well as local and self-hosted deployments with an API key.

Read-only MCP server that exposes Eodly's sourced end-of-day reports and team roster to MCP clients, letting you ask questions like "who is slipping this week?" and get answers backed by GitHub and Linear data.

MCP Server for the Notion API, enabling Claude to interact with Notion workspaces.

A Model Context Protocol server enabling AI assistants to interact with Tempo's time tracking system in JIRA for worklog retrieval, creation, and management.

A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.

A parametric CAD workspace as an MCP server, enabling agents to create, edit, and manipulate 3D models through tools, with a live studio UI and STL/OBJ import/export.

MCP server for OpenBCI hardware via BrainFlow, enabling board connection, streaming, signal processing, and export with a web dashboard.

AI-friendly MCP server for Notion API, enabling agents to search, read, query, and update Notion pages and databases with compact responses.

Enables AI assistants to interact with Mapbox developer APIs for style management, token management, and local processing tasks like GeoJSON preview and coordinate conversion.

This MCP server enables AI agents to perform exploratory UI testing of live web apps by providing a structured view of page elements, deterministic correctness oracles, enforced read-only or opt-in write policies, persistent cross-run memory, and gap-checked coverage reports.

Enables MCP clients to drive a real cloud Chrome browser to read blocked pages, fill forms, take screenshots, and hand off control to a person for logins or CAPTCHAs.

A lightweight MCP server for managing personal finances locally. It allows users to log transactions, view summaries, manage categories, and interact with their budget via any MCP-compatible LLM client.

Enables AI assistants to automate mobile app testing and development for iOS and Android through natural language interactions. Supports intelligent element identification, session management, automated test generation, and comprehensive device interactions including clicks, swipes, screenshots, and app management.

Enables LLMs like Claude to navigate the web through Puppeteer-based tools and Steel. Based on the Web Voyager framework, it provides tools for all the standard web actions click clicking/scrolling/typing/etc and taking screenshots.

Enables users to subscribe to RSS feeds, read clean extracted article text without ad-heavy sites, and perform full-text and semantic searches using local SQLite storage with no account required.

Provides Claude with access to IT Glue documentation and asset management, enabling searching and retrieval of organizations, configurations, passwords, documents, and more.

Enables AI assistants to perform governed risk assessments through AIR: discover projects, upload evidence, run assessments, and retrieve structured reports.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

A demo MCP server showcasing interactive HTML UIs for tools like list sorting, flame graphs, and feature flags, enabling bidirectional communication between user and agent.