"How to access and read a local SQL database" matching MCP servers:

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

Local multimodal MCP server for vision, document, audio, video, and GUI automation, all processed locally on Apple Silicon for privacy and security.

Enables text-only and offline AI agents to see images through three MCP tools that read UI screenshots, extract verbatim text, and describe images or URLs, returning schema-validated JSON from Gemma 4 running locally via Ollama or through the Gemini API, with optional disk caching so results never leave the machine.

A stdio MCP server that enables agents without native vision to ask an OpenAI-compatible vision model to describe, OCR, or extract structured data from images via a single tool.

Minimal MCP server for Kimi-compatible image analysis, allowing local images to be sent as inline base64 to any compatible endpoint.

Enables PDF reading through MCP with text extraction, Chinese OCR for scanned documents, page rendering, and keyword file search from any compatible MCP client.

Enables compatible AI apps to observe and control a locally connected iPhone through stdio MCP tools for screenshots, taps, swipes, long presses, text entry, key and button presses, app listing, and app launching, all reusing the console's device session.

Local-first MCP server for controlling a loopback ComfyUI instance from same-machine or authenticated LAN clients.

Lets a text-only LLM read images and PDFs by delegating to a vision model running on your own GPU.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

A local (stdio) MCP server for PixelVault — agent-first image hosting, enabling upload of local files by path without base64.

Enables an AI assistant to convert images among HEIC, JPEG, PNG, WebP, and AVIF entirely on the local machine, including converting a folder of files into a single zip. Access is confined to a user-specified root directory, metadata is stripped by default, existing files are never overwritten, and no network requests or telemetry are used.

A simple MCP server that reads local images and returns them as ImageContent for LLM vision analysis.

Extracts timestamped screenshots from local videos, enabling Claude to produce visual walkthroughs without audio analysis or cloud processing.

Provides local vision and audio perception for MCP-compatible agents, enabling them to read images, transcribe text from visual media, analyze videos, and convert speech to text entirely on-device. It is privacy-focused with no cloud upload or API keys by default, using Ollama for inference.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

An MCP server that integrates with a local ComfyUI, allowing assistants to list and run workflows, monitor progress, and view results, as well as read and edit the live workflow canvas via an optional bridge node.

Enables an agent to read, edit, and build Figma designs from scratch — including style guides, variables, components, and screens — through a local plugin bridge to the open file's Plugin API, with no Figma token or REST API calls.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Let me evaluate the README content.

Enables MCP browser agents to locate described UI targets in screenshots through local inference when DOM or accessibility references are unavailable. It shares one localhost-only model across clients, supports lazy loading and screenshot cleanup, and provides health, metrics, and configuration commands.

Enables AI to create and edit local Jianying/CapCut draft projects on macOS from videos, images, audio, and text, supporting editable subtitles, keyframes, motion presets, and batch operations via MCP tools.

Enables controlling GIMP 3 locally through natural language, providing tools for image editing, layer management, selections, and PDB procedure invocation. Keeps all images and files on the user's machine with a local-first, secure design.

Enables Claude Code to call local generative AI services on a LAN, letting users list and chat with Ollama models and list checkpoints, LoRAs, and samplers or generate and save images via Stable Diffusion WebUI Forge Neo. Requests can be made in natural language, with per-call options for model, image size, and Hires.fix settings.

Enables MCP clients to generate and edit images using local Stable Diffusion models in ComfyUI, with tools for text-to-image, img2img, ControlNet, UI frames, upscaling, and background removal—no cloud API or API key required.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Downloads and analyzes videos from platforms like Instagram, YouTube, and TikTok locally, returning keyframes and optional transcripts.

Enables MCP clients to turn direct video URLs and chosen start/end times into ready-to-post vertical 9:16 MP4 clips with animated burned-in captions, thumbnails, and SRT files, including batch processing for multiple highlights.

MCP server for local Ollama vision analysis, enabling text-only agents like Claude Code to inspect images via a single tool. Processes images locally with Ollama, keeping image bytes on the machine and returning text reports.

Provides local image understanding for text-only LLMs with tools for image analysis, OCR, object detection, and cropping, all processed on-device.