"Connecting Feishu (Lark)" matching MCP servers:

Gives PC AI agents real-world senses by connecting to an Android phone's camera, sensors, and files over local Wi-Fi without cloud relay or ADB.

Enables AI agents to drive 360° cameras by connecting, checking status, reading and changing settings, taking photos, recording video, browsing the gallery, and downloading media as cancellable background jobs, with local stitching and export of 360° footage. It is honest about backend limits, returning structured, explained errors for anything a given camera or connection cannot do.

Enables AI agents to fuse 2D/3D visual bounding boxes, user head-pose gaze vectors, and acoustic beamforming azimuth angles into cross-modal focal salience scores. It also resolves deictic spatial references in real time, running as a zero-dependency Python MCP server over JSON-RPC stdio.

Enables autonomous shortform video editing by converting 16:9 footage to 9:16 with dynamic speaker tracking, smart reframing bounding boxes, audio silence pacing, and precise cut-list generation through MCP-compatible clients.

Enables AI coding agents to autonomously generate images, music, and cinematic video directly from their coding environment by connecting to Google Labs and Google Flow through the user's Chrome session.

Enables users to calibrate multimodal chart coordinates and recover tabular datasets from visual bar, line, and scatter charts as structured numbers.

MCP implementation for connecting to the Mochify image processing API to convert, compress and resize images.

Enables autonomous agents to orchestrate HubX mobile AI tools for plant and nutrition vision diagnostics, voice transcription and summarization, photo-realistic portrait and art generation, and interior/exterior spatial design through structured JSON outputs.

Enables audio silence detection and jumpcut cadence/pacing analysis for shortform video editing, producing precise cut-lists and telemetry through the Model Context Protocol.

Enables AI-assisted 3D modeling workflows by connecting Blender with LLMs and CSM.ai, allowing text-based editing, asset retrieval from CSM.ai sessions, and humanoid animation using Mixamo files.

Enables MCP clients to operate a RunningHub infinite canvas through a local bridge and Chrome extension using the current logged-in session: reading nodes and prompts, cloning templates, laying out and connecting nodes, uploading images/audio/video, submitting generation, and archiving outputs. Supports both the international (www.runninghub.ai / rhtv.runninghub.ai) and China sites, with dry-run previews and revision-checked edits.

Enables agents to turn ambient visual wallpapers and lifestyle scenes into personalized retail product recommendations and one-tap shopping actions via MCP.

Enables Claude to inspect and edit Cavalry scenes by reading layers and connections, executing JavaScript, connecting nodes, changing Duplicator distributions, and rendering frames for visual feedback.

Connecting Models to Your Creativity. We aspire to bring the unique capabilities of AI models to every creative individual, delivering better experiences, lower costs, and higher efficiency. This is the meaning behind our creation of ImgMCP.

MCP server and CLI tool connecting to SD WebUI Forge NEO, enabling image generation, model management, and more via natural language.

Enables edge robotics to slice LiDAR/depth point clouds into 2.5D occupancy grids, computing spatial obstacles for real-time telemetry and actuator safety supervision.

Enables AI agents to compare visual specifications and calculate physical dimensions and degrees of freedom from multimodal inputs.

Enables high-resolution image canvas processing by slicing images into spatial grid tiles and blending seams for seamless generative upscaling, compatible with Magnific AI / Krea AI workflows.

MCP server connecting Claude to kie.ai's unified API for over 30 AI models (image, video, audio), handling asynchronous task management and dedicated API routing for models like Veo3 and Aleph.

Provides multimodal OCR table grid and merged-cell reconstruction into Markdown, and integrates with MCP-compliant clients like Claude Desktop and Cursor.

Enables MCP clients to score the retention quality of the first three seconds of shortform video hooks using audio/video telemetry and transcript input, returning deterministic JSON results for viral hook optimization.

Enables calculation of speckle contrast, blood flow index, and laser speckle perfusion units from local pixel intensity kernels, with exposure compensation and microvascular perfusion guidance through an MCP JSON-RPC stdio server.

Enables deterministic reconstruction of complex tables from OCR bounding boxes, including multi-column layouts, merged headers, grid hierarchies, formula auditing, and PII redaction through MCP.