"Generating a series of images using MCP from a sample image" matching MCP servers:

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

An MCP server and an agent skill for imagor, a fast, secure image processing server. An agent writes a layout (OG cards, product grids, quotes, testimonials) and it compiles to one imagor URL, served from your own instance.

Enables AI image generation and editing using Google's Gemini Multimodal Image APIs.

Portable memory protocol for AI coding sessions. Push the state of a session (goal, decisions, attempts, next step) from one MCP-capable agent and pull it back from another.

Failure Memory provides AI coding agents with a shared local memory of failures, enabling them to record, recall, and learn from mistakes across sessions.

rhizome-mcp is a local-first MCP server for task tracking and coordination of autonomous AI coding agents, providing crash-safe issue claiming, durable project memory, and dependency graphs using SQLite. It enables agents from different MCP-compatible clients to share a consistent view of project work with no accounts, Docker, or network dependency.

Manage a fleet of OPNsense firewalls from an AI agent, inside guardrails it can't drive around. MCP server for central management of OPNsense firewall fleets. 129 tools across devices, config sync, tasks, schedules, templates, backups and remote consoles - destructive actions confirmation-gated, MCP-issued tokens lifetime-bounded, backup and storage secrets excluded from the toolset entirely.

Enables SQL queries against PostgreSQL databases through MCP-compatible clients and includes a natural language agent for forming SQL queries from natural language.

This project implements a simple MCP server in Go that exposes a single tool (create_short_link) to generate short URLs using the Rebrandly API.

Mu is an MCP server and web app that provides agents and humans access to real-world services like news, web search, mail, markets, weather, video, places, images, files, calendar, and contacts. It offers a wide range of tools and can be self-hosted or used live at micro.mu.

Enables AI video dubbing from any MCP-capable agent: upload a video or provide a URL, submit a dubbing job, poll progress, and download the finished MP4.

Enables AI coding assistants to search and retrieve information from a locally ingested knowledge base using hybrid search, grounded in user-curated documentation.

Enables AI agents to capture, store, and retrieve durable learnings from projects via MCP tools, providing a queryable memory of product and technical lessons across repos.

Extract palettes from images, generate harmonies, gradients, random palettes; Check WCAG and APCA contrast; Suggest nearest passing OkLCH lightness; Simulate color-blindness; Convert and sort colors across formats (hex / RGB / HSL / OkLCH / …)

An MCP (Model Context Protocol) server for managing Tailscale resources using the official Tailscale Go client library v2. This server provides complete coverage of the Tailscale API with enhanced, self-descriptive tools powered by OpenAPI documentation.

Enables AI clients to look up real Danbooru tags — exact names, aliases, categories, post counts, co-occurrence, wiki text, and the tag lists of actual posts — before composing image prompts. This tag verification noticeably improves prompt accuracy for local AI image generation.

An open-source MCP server that protects AI agents at runtime by evaluating every tool call against YAML policies and generating audit trails.

Provides a read-only schema extraction tool that converts database structures from numerous dialects into Toon format, accepting live connections or offline SQL dumps.

A modern community hub with forum and knowledge base. Native MCP built-in, ready for the next era of internet culture.