"Lumen" matching MCP servers:

Enables AI agents to see, hear, and edit video projects in the Lumen editor, using tools for timeline edits, transcription, contact sheets, loudness analysis, and more.

Enables interactive sprite operations, inspection, palettes, text, style presets, dream-animation automation, QA gates, and export backends such as PNG sheets, WASM-4, TIC-80, and VoidSprite file interop, with all paths project-root bounded.

Drives Lumen's data-to-SQL-to-chart-to-report loop from any MCP client, supporting keyless SQL and charting or keyed agentic data analysis.

Enables MCP clients and external AI supervisors to oversee and steer native Codex sessions through a thin local stdio bridge. It exposes eleven codex_* supervisory tools for tasks such as listing threads, starting turns, observing progress, steering, responding to approvals, interrupting, checkpointing, and rolling over work.

Enables AI agents to store, search, assemble, and manage local-first memories through seven MCP tools, including conversation turns, feedback, status, and dashboard access without cloud dependencies.

Provides AI coding assistants with persistent project memory to retain architectural decisions, code patterns, and domain knowledge across sessions. It stores data locally in a SQLite database, allowing agents to remember, recall, and manage project-specific context using full-text search.

Enables Claude to execute commands and manage directory-aware panes within tmux sessions for a shared terminal experience. It features smart output capture, interactive prompt detection, and background task management.

Enables managing a canonical library of agent skills and MCP servers, syncing them across multiple development harnesses, and adding, importing, or configuring them through MCP tools.