Search audit findings by title, severity, or status to check for duplicates before creating a new finding or to locate a specific finding for update or evidence attachment.
MIT
214,374 tools. Last updated 2026-06-19 21:11
"A tool for finding maps or creating visual representations" matching MCP tools:
- Generate visual maps of Chinese administrative divisions to display regional data distribution or composition, such as GDP by province or city classifications.TypeScriptMIT
- Retrieve visual representations (images, 3D models, web views) attached to templates in the DUAL Web3 Operating System for managing digital assets and blockchain interactions.
- Convert decimal or hexadecimal numbers between different representations for reverse engineering analysis in IDA Pro.MIT
- Generate mind maps, flowcharts, or hierarchies from any concept to structure and clarify thinking processes.MIT
- Detect and extract visual features from images to generate mode maps for AI image processing, supporting modalities like canny, depth, pose, and segmentation.ISC
Matching MCP Servers
- Alicense-qualityAmaintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.Last updated1171MIT
- -license-quality-maintenanceEnables validation, saving, publishing, and inspection of Galaxy Maps courses from local JSON files via Firebase integration.Last updated
Matching MCP Connectors
Search Apple Maps businesses with Apple ratings and aggregated Yelp + TripAdvisor reviews.
The Google Maps MCP server is a fully-managed server provided by the Maps Grounding Lite API that connects AI applications to Google Maps Platform services. It provides three main tools for building LLM applications: searching for places, looking up weather information, and computing routes with details like distance and travel time. The server acts as a proxy that translates Google Maps data into a format that AI applications can understand, enabling agents to accurately answer real-world location and travel queries.
- Create visual dashboards, timelines, and network graphs from memory data to explore patterns and relationships.MIT
- Create, manipulate, and interpret diagrams to generate insights and test hypotheses for problem-solving and communication.
- Create and manipulate diagrams to solve problems, generate insights, and test hypotheses through visual thinking and structured reasoning.
- Identify disconnected subgraphs in the graph by finding connected components. Returns the number of components and the nodes in each.Apache 2.0
- Queue a remediation proposal for a security finding that requires human approval before applying. Returns a proposal ID and approval URL.AGPL 3.0
- Fetch Google Maps place photos using dataId or placeId, filterable by category and paginated. Get image URLs, thumbnails, and upload details for menu extraction or venue audits.MIT
- Capture a screenshot of any URL for audit evidence, visual regression baselines, or documentation. Uses headless Chromium to produce a PNG file.MIT
- Retrieve a task screenshot with visual markers and annotations to clarify requirements when task instructions are insufficient, especially for layout-related tasks or visual bug resolution.MIT
- Find images across the web to illustrate concepts, locate specific pictures, or discover visual resources. Returns images as base64-encoded JPEGs or URLs with metadata.Apache 2.0
- Retrieve all users from your Pipedrive account to get owner IDs for creating or filtering records.MIT
- Update scalar fields of a security finding, such as title, severity, status, taxonomy, or assets. Use this tool to modify a finding's metadata without altering its prose body or evidence.MIT
- Retrieve all ticket statuses from Autotask to use for filtering or creating tickets.
- Attach an asset to a finding by matching an existing asset or creating a new one. Use when specifying which asset a finding affects.MIT
- Retrieve all configured suppression rules for your tenant to check for duplicates or near-overlaps before creating a new rule, ensuring efficient detection rule management.Apache 2.0