MCP server

Provides a local knowledge graph that connects source code, documentation, and infrastructure to give AI agents structural context.

Securely execute LLM-generated code in isolated containers or local Linux and Windows sandboxes across multiple programming languages.

Lets an AI client run browser tasks in a real Chrome browser, including fills forms, clicks, extracts data, and downloads files.

Lets an AI client create, inspect, validate, and save editable 3D building scenes, including walls, rooms, doors, and furnishings.

Orchestrate AI agents and human operators through a unified task management platform with real-time synchronization and visual workflows.

Provides a unified control plane for AI agents to operate digital content creation tools, game engines, and design software through a single protocol.

Lets AI agents search, run, and read results from thousands of web scraping and automation Actors on Apify Store.

Transcribe local audio files to text using SenseVoiceSmall with private, on-device inference.

Lets an AI client read, write, and search a local-first knowledge graph stored as Markdown files.

Provides AST-based semantic code search for local repositories using incremental re-indexing and natural language queries.

Enforces policy-as-code governance for AI agents through deterministic scheduling and verifiable audit receipts.

Enforces policy as code to orchestrate, schedule, and audit AI agent workloads with deterministic execution and verifiable lineage.

Allows an AI client to control Adobe Photoshop through natural language commands to perform edits, retouching, and batch processing.

Lets an AI client read and change Google Ads, Reddit Ads and GA4 campaigns, with a preview shown before every change.

An agent meta-harness that provides Claude Code and Codex with specialized agent swarms, self-learning memory, and enterprise security guardrails.

Enables LLMs to interact with web pages through structured accessibility snapshots using Playwright browser automation.

An AI browser agent that automates web browsing, clicking, and typing to perform tasks from plain-English instructions while remaining invisible to anti-bots.

Allows an AI client to interact with Bitbucket Data Center repositories and code through the Model Context Protocol.

Connect AI agents to over 100 cryptocurrency exchanges and prediction markets for market data, account management, and trading.

Lets an AI agent draw and edit draw.io diagrams on a live browser canvas that you can also edit by hand.