"Finding Financial Reports" matching MCP servers:

Enables AI agents to analyze videos by producing timestamped transcripts, keyframe contact sheets, and metadata reports from local files or online URLs, fully offline and without API keys.

Enables AI agents to create, render, and validate 3D scenes, 2D art, and games in HTML canvas using Three.js, WebGL, or Canvas 2D, with multi-angle screenshots, structured validation reports, and interactive playtesting.

Generates quality control plans and inspection reports from technical-drawing PDFs: tolerances, fits, threads, GD&T and surface finishes are extracted automatically by Imnoo's drawing analysis, numbered as balloons with acceptance limits and measuring instruments, and exported as a ballooned drawing PDF, an inspection package and an Excel measurement report.

An MCP server that generates images using the Google AI Pro quota from an existing Antigravity CLI login, calling the image endpoint directly for fast, headless generation from any MCP client. It also reports status without consuming quota and falls back to the agy agent if the direct call fails.

Adds image understanding to text-only coding agents via two tools: describe_image for detailed descriptions and describe_ui for structured UI reports.

Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.

Enables agents to extract multi-page financial tables from complex PDFs, rasterize vector pages into crisp 300 DPI images for vision LLMs, flatten interactive AcroForm/XFA forms, and dewarp skewed OCR bounding boxes from photographed or scanned paper documents. Tool invocations are gated by USDC micropayments settled on Base L2 via the x402 protocol.

Enables AI media authenticity investigations by listing Detect Agents, running investigations on URLs or files, submitting deepfake detection jobs, and asking follow-up questions on detection reports.

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.

Enables comprehensive video file analysis including extracting metadata, stream information, bitrate calculations, and generating technical reports. Supports all FFmpeg-compatible video formats with output in JSON, text, or Markdown formats.

Enables AI agents to report incidents to the Bilbao City Council (MeJora Bilbao / Bilbo Hobetuz) by listing categories, looking up streets, reviewing existing reports, and creating new ones — including generating a report directly from a geolocated photo. Drafts are dry-run by default and real submissions require explicit human confirmation.

Enables an AI agent to list municipal services and categories, query existing reports, and create new reports to the Las Palmas de Gran Canaria city council—including from a photo—with human confirmation before submission.

Enables AI assistants in Google Antigravity to drive Blender for 2D-image-to-3D reconstruction, running a multi-stage pipeline to analyze reference images, generate models, compare renders, refine geometry, and produce reports.

A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.

Enables agents to inspect and analyze ROS recordings through MCP tools and resources, including topic indexing, frame/point-cloud/depth sampling, IMU/odometry series, calibration, and exportable clips, previews, and reports. It provides bounded queries and materialization of analysis artifacts without requiring a ROS installation.

Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.

Converts raster drawings such as diagrams, maps, charts, and scans into editable CorelDRAW vector files in a single call, with automatic self-checking that reports uncertain elements back to the calling AI for correction and rebuild.

Enables AI agents to inspect video camera clips through structured quantitative measurements such as exposure, color, sharpness, noise, and camera motion, returning JSON reports and visual scopes instead of relying on frame interpretations.

Enables text-to-image and image-to-image generation through the ModelScope API-Inference, including LoRA model support and local image input. It also provides keyword-based ModelScope model search for finding diffusion models and LoRA libraries.

MCP server that converts videos into annotated keyframes and timeline reports for coding agents, with tools to analyze, inspect frames, and zoom into clips.