"Enhancing Markdown (.MD) file editing capabilities" matching MCP servers:

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.

Enables AI agents to programmatically drive Kdenlive video editing workflows, including media probing, timeline assembly, render verification, and audio checks.

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

Integrates with Video Jungle to allow LLMs to upload, search, edit, and generate videos from natural language commands.

Enables users to upload, search, edit, and generate videos through Video Jungle, supporting custom URI schemes and integration with video editing tools like DaVinci Resolve.

Enables extracting text, structure, and image data from unstructured documents (PDF, DOCX, PPTX, SVG, PNG, JPG) and scanning folder trees.

Enables high-quality 3D-style cartoon image generation using Google Gemini AI alongside secure file system operations like reading, writing, and managing directories. It provides a dual-purpose toolkit for creative asset generation and local file management via the Model Context Protocol.

A video enhancement MCP server that supports creating tasks, querying status, and synchronously enhancing videos with URL or local file input.

Enables image generation and editing via third-party relay services. Returns local file paths and Markdown display hints.

Deterministic file operations for AI agents: 40 operations over plain HTTPS. PDF merge, split, redact, sanitize, OCR, Office and PDF to Markdown, RAG chunking, charts, QR codes, C2PA AI labelling. find_tool suggests the right one. $0.01 per operation, 100 free, no signup, credits never expire.

Nectar is a stdio MCP server for Pollinations image and video generation. It gives MCP clients a small, focused toolset for generating images, editing images, generating videos, listing available image/video models, and checking pollen balance.

An MCP server that uses Xiaomi MiMo v2.5 multimodal model to provide image recognition capabilities (description, multi-image analysis, OCR, and image info validation) for text-only main models like deepseek-v4-flash, accepting local paths, URLs, file://, and base64 data inputs.

An MCP server that gives text-only models image generation and understanding capabilities, with tools like generate_image, describe_image, and set_api_key. It enables any MCP client to create and analyze images using a single API key.

Enables any MCP-capable agent to generate App Store and Google Play store screenshots from screen layout JSON plus local image file paths, returning a job ID for async polling or a direct download link. It also exposes render status polling with signed download URLs and per-response quota, balance, and cost metadata.

Exposes OpenAI's gpt-image-2 and gpt-image-1.5 to Claude Code as a single tool for generating, editing, or composing images with automatic model selection.

Provides image recognition capabilities using Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats and offering optional text extraction via Tesseract OCR.

This MCP server gives pure-text LLM agents vision capabilities by integrating the free GLM-4.6V-Flash visual model, enabling image, video, and file understanding through standard MCP tools.

Provides vision capabilities to text-only LLMs by acting as a cloud vision adapter layer, enabling image understanding and OCR text extraction through a single MCP tool.

Enables Claude to generate and edit images using OpenAI's GPT Image models, with automatic model selection and local file saving.