"agent-api" matching MCP servers:

Enables face detection and recognition in Agentic AI workflows using Azure Face API, supporting attribute detection, image comparison, and face recognition.

A remote MCP server that lets AI agents generate PDFs from Markdown or HTML, extract text from images and PDFs, validate and screen email addresses, convert or host images, and create QR codes and barcodes. It also exposes account, subscription, and API-discovery tools, with every call running against the same REST quotas tied to the caller's own API key.

Enables AI agents to drive a live Blender session over stdio, inspecting the scene graph, searching and calling operators, reading and writing RNA properties, rendering viewable images, and checkpointing or restoring the file across a multi-turn conversation. It also exposes gallery and scene-reset helpers so the agent can check its own work and start over cleanly.

Provides LLMs with full access to the Ken Video API for professional video processing, including adding audio, captions, and job management.

MCP server for generating print-ready 3D models from text descriptions via a multi-agent pipeline, enabling AI assistants to create and optimize STL files.

Turn any receipt into structured, accounting-ready JSON or clean Markdown with one API call. AI-powered vision extracts merchant, date, line items, tax, totals, and suggests GL accounts for instant bookkeeping. 50 free credits on signup.

Hosted MCP server (OAuth, no API keys) that makes short drama series (micro-dramas, sitcoms, K-drama style, any language) and other short vertical videos from Claude, ChatGPT or Codex, with the same cast every episode.

MCP server that provides a local Web production console and HTTP control plane for AI video creation, exposing tools for project/revision management, media analysis, editing, review, and delivery while keeping formal rendering behind explicit approval gates.

Enables users to classify steel surface defect images and retrieve aggregate model performance metrics through MCP tools, while supporting confidence-based human review and drift monitoring in an agent pipeline.

An MCP (Multi-Agent Conversation Protocol) Server that provides a standardized interface for interacting with Google's Cloud Vision API, enabling AI agents to analyze images and extract visual information through natural language.

This server enables interaction with Google's Video Intelligence API for advanced video analysis, auto-generated using AG2's MCP builder to provide a standardized multi-agent interface.

Enables users to compare images for visual similarity, detect exact and near-duplicates, and obtain similarity scores and perceptual hash distances via a plain HTTP API.

Enables an external coding agent to exchange text and images with ComfyUI workflows and trigger runs via MCP tools.

An MCP server that gives LLMs direct access to OpenRouter's Image API to generate images, edit/transform existing ones, and browse the model catalog.

MCP server that lets AI assistants like Claude or Cursor extract structured data (e.g., invoices) from images and PDFs via Vision API, with tools for analysis, questions, and preset management.

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

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.

An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.

An MCP server enabling agents to generate videos via the vidhook render API, with tools to validate movie definitions, start renders, and check status.

MCP server for generating memes via the Imgflip API. It allows AI assistants to browse meme templates, caption them, and return the resulting image directly in the conversation.