Exposes the Jupyter notebooks open in VS Code to MCP-compatible AI agents, letting them edit cells in the open editor and execute them in the live kernel without file conflicts. Agents can make partial edits, track stale cells, inspect variables, and manage kernels while preserving the user's interpreter choices and unsaved work.

Enables Antigravity to delegate concrete local coding tasks to Codex CLI with durable sessions, background execution, native chat links, and event-driven receipts.

Enables local MCP clients to expose and execute typed tools through a bounded native runtime with Ed25519 admission, per-session budgets, rate limits, schemas, and cached outputs.

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, ag

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, ag

All-in-one workflow plugin—loops, swarms, and teams on Claude Code's Task System. All enforce exit criteria—swarm is faster with parallel queue execution, teams add contract-first coordination. Plan your way, execute your way. Optional: Beads for persistent memory, Ralph TUI for dashboard.

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

Execute commands interactively on remote Windows machines using the WinRM protocol (just faster)

Your pocket agent. Local-first AI agents on iOS and Android — real workspaces, tool execution with approvals, and your choice of model (DSH · Claude Code · Codex · GLM).

ChannelTerm is an open-source MCP server that enables humans and AI agents to share live serial and SSH terminal sessions for embedded systems development and debugging. It allows AI agents to read device output, execute commands, assist with GDB debugging, and transfer files while keeping developers in control.

Kinetically Orchestrated Neural Execution Engine for Code

Enables AI clients and CLI users to query and modify multiple MySQL data sources routed by project and environment, with explicit environment binding, server-side read-only enforcement, hot-reloaded web configuration, and SQL execution auditing.

Enables AI clients to securely control Linux and WSL2 systems over Streamable HTTP with Bearer token authentication, supporting command execution, background jobs, file operations, Docker management, system inspection, and audit log access with safety confirmations and path protections.

Enables MCP clients to curate YouTube watch history and locally search selected transcripts using SQLite FTS5, ChromaDB embeddings, and reciprocal rank fusion, with tools to browse unindexed history and add videos.

Enables developers to register custom tool-calling functions, execute path-safe file operations within an isolated workspace, and keep in-memory memory and audit state for AI agent workflows.

Enables AI clients to control and inspect a Unity Editor through MCP tools for scene and play-mode operations, logs, screenshots, assertions, Lua execution, UI interaction, world observation, and bridge management; advanced UI/Lua/world features require project-specific adapters.

Exposes device discovery, capabilities, observation, logs, task execution and cancellation, and evidence retrieval as tools so MCP clients can run typed mobile automation tasks and inspect proof of completion.

Enables AI coding agents to query a locally indexed codebase graph for symbol definitions, immediate callers and callees, and multi-hop downstream dependency impact analysis through MCP tools.

Enables MCP clients to search job listings, read complete job descriptions, manage local search presets and candidate pools, and prepare application or message drafts. Optional session-backed chat reading and human-confirmed single-action execution are also supported.

Enables creating, inspecting, and stopping Google Colab sessions, executing Python code or files, retrieving session URLs, and reading logs through the local Colab CLI.

Enables MCP clients to explore PostgreSQL schemas, run guarded read-only queries with row limits, and inspect execution plans without executing them. It prevents writes and DDL while exposing schema discovery tools, a schema overview resource, and a guided analysis prompt.

Enables Claude and other MCP clients to control a running DAZ Studio through the DazScriptServer plugin, covering scene queries, node and morph editing, posing and multi-character interactions, camera and lighting setup, keyframe animation, renders, content library browsing, and arbitrary DazScript execution. It also lets clients generate scenes, shot sequences, and dialogue choreography from natural-language descriptions.

Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.

Don't let AI destroy your hard work! HardStop is a rock-solid protection for AI-generated commands. Pre-execution safety validation for Claude Code, Claude Cowork. Catches dangerous commands before they run: whether from AI mistakes, hallucinations, prompt injection, or misunderstood instructions. Seatbelts for the agentic AI era.