Enables AI coding assistants to control and inspect a browser via DevTools, with additional Opera Neon AI tools for chat, page actions, content generation, and research.
Enables developers to explain error messages, validate and format JSON, generate regex patterns from descriptions, and summarize text via an LLM, all through MCP-connected clients.
Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.
Provides deployable, stateless MCP services for rigorous inference evaluation and benchmarking, including a profiled lm-evaluation-harness controller/worker and a bounded vLLM forward-pass benchmark adapter.
Enables workspace discovery, access to 18 curated read operations, and separately enabled call-changing operations for interacting with UponAI services through MCP.
Enables an LLM to automate a real browser by describing one outcome per step, with page content summarized into compact element lists and a fast Typesafe System One model deciding the target element, action, value, and whether the step is done, blocked, or needs confirmation, while Playwright performs the action. Also supports direct element actions, yes/no and choice questions, relevance-filtered page reading, screenshots, and calling tools that a WebMCP-enabled page registers.
Lets an MCP client drive a real Playwright browser by describing desired outcomes one step at a time, while a Typesafe System One model picks elements, actions, and values and flags done, blocked, error, or irreversible states. It also exposes snapshotting, reading, checking, screenshots, direct acting, and page-registered WebMCP tools for taking manual control.
A browser-automation MCP server that lets a calling LLM state one desired outcome at a time while a separate model decides the element, action, value, and completion status per round, enabling navigation, form filling, verification questions, page reading, and invocation of WebMCP tools a site registers.
Provides a collection of MCP servers for computational chemistry tasks including molecular generation and retrosynthesis. Also offers property prediction and molecule pricing capabilities.
Provides 63 production-ready API tools for AI agents, including web scraping, AI generation, crypto data, OCR, image generation, audio transcription, text-to-speech, email, and domain lookup.
Local, read-only MCP tools for B2B outreach: French telemarketing consent validity (décret 2026-662), GDPR gap report for customer service outsourced outside the EU, cost per kept meeting by lead source, and least-cost capable model selection.
Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.
Lets an AI agent drive Google Flow (flow.google.com) through a locally logged-in Chrome profile to generate images, videos, characters, and scenes. Uses browser automation via the Chrome DevTools Protocol, so Google credentials are never shared with the agent.
Controls Google Flow for image and video generation from an AI agent. Enables generating images with models like Imagen 4, creating videos, managing characters and scenes via browser automation.
