Convert content to PDF documents with automatic layout design for AI agents, handling HTML and other formats while following specific guidelines.
MIT
133,413 tools. Last updated 2026-05-25 14:03
"Guidelines for Interfacing with Jenkins" matching MCP tools:
- Search injection molding simulation knowledge to troubleshoot defects, resolve simulation issues, and access DFM rules, mesh guidelines, and process recommendations.MIT
- List all available GO-CAM guideline documents to identify which guidelines can be accessed for detailed content.BSD 3-Clause
- Validate brand compliance by checking if a color, font, or logo usage adheres to brand guidelines. Returns pass/fail with specific guidance.MIT
- Retrieves logo variants with usage guidelines, minimum sizes, clear space rules, and forbidden uses. Optionally returns base64-encoded image data.MIT
- Retrieve brand guidelines, voice and tone documentation, accessibility rules, and usage policies as full markdown content.MIT
Matching MCP Servers
- AlicenseBqualityBmaintenanceThe Model Context Protocol (MCP) Jenkins integration is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.Last updated32121MIT
- FlicenseBqualityDmaintenanceA server that enables interaction with Jenkins CI/CD pipelines from any compatible MCP client (like Claude Desktop), allowing users to manage jobs, builds, coverage reports, and other Jenkins functionality through natural language.Last updated1124
Matching MCP Connectors
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
Conversational access to advertising performance data, creative analysis, and campaign insights
- Retrieve the core brand voice prompt that defines tone, personality, terminology, and localization guidelines for consistent translations.MIT
- Retrieve color palettes with hex and RGB values, usage guidelines, and semantic role filters for marketing or product contexts. Choose output format: JSON, CSS, SCSS, or Tailwind.MIT
- Retrieve component specifications, variants, and CSS properties. Filter by design context or category.MIT
- Search all design system content: guidelines, component specs, colors, typography, and brand documentation. Narrow results by marketing, product, or shared context.MIT
- Retrieve typography specifications including font families, sizes, weights, line heights, and usage guidelines for design contexts like marketing or product. Output in JSON, CSS, or SCSS.MIT
- Retrieve coding style guidelines in Markdown format for a specified programming language to ensure consistent code quality and maintainability.MIT
- Find clinical guidelines and practice recommendations from medical organizations to support evidence-based medical decision making.MIT
- Retrieve coding best practices and style guidelines for specific programming languages in Markdown format to improve code quality and maintainability.MIT
- Download a build artifact from a Jenkins job by specifying job name, artifact path, and optional build number. Returns content as text or base64.MIT
- Retrieve detailed genotoxicity study data including test methods, guidelines, species, exposure conditions, and results to assess DNA damage potential of substances.MIT
- Retrieve the direct Jenkins URL for a specific build artifact by providing the job fullname, artifact relative path, and optional build number.MIT
- Creates or fully replaces main.md content for projects on the Knowledge MCP Server. Use to migrate, initialize, or rewrite project guidelines with automatic git commits and markdown validation. Ideal for complete updates, not minor changes.
- Retrieve a Jenkins view by its path, returning jobs and nested sub-views for hierarchical navigation.MIT
- Search NIST cybersecurity publications by keyword across series like SP 800, FIPS, and IR to find standards, guidelines, and frameworks. Returns matching documents with ID, title, date, and series.MIT