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AI resources

  • Context7

    Fetches up-to-date, version-specific documentation and code examples for AI agents, facilitating seamless integration in coding tasks.
    MCP serverGitHub MCP Registry

  • HasData Web Scraping

    Fetch any public web page through managed proxies, with optional JavaScript rendering and extraction rules. Returns clean markdown, plain text, raw HTML, or structured JSON without needing to host or use a browser.
    MCP serverGitHub MCP Registry

  • TestMu AI (formerly LambdaTest)

    Agentic AI quality engineering resource that allows users to run, debug, and triage tests on real browsers and devices directly from their IDE.
    MCP serverGitHub MCP Registry

  • Ball Ranks Fantasy Sports

    Provides fantasy football and basketball rankings and player projections through a read-only remote server.
    MCP serverGitHub MCP Registry

  • JobSpy

    JobSpy is a job scraping library that aggregates job postings from various popular job boards like LinkedIn, Indeed, and Glassdoor into a single dataframe.
    MCP serverGitHub MCP Registry

  • Kujolang.ai MCP

    A read-only catalog server for discovering Kujo projects, skills, tooling, showcases, and workflows.
    MCP serverGitHub MCP Registry

  • Argus - Testing for Coding Agents

    Argus is a testing resource that automates browser interactions to verify application behavior, identify bugs, and generate regression tests.
    MCP serverGitHub MCP Registry

  • Atlassian MCP Server

    The Atlassian MCP Server is a cloud-based bridge that provides secure, real-time access to various Atlassian products like Jira, Confluence, and Bitbucket from external AI tools, allowing users to summarize, create, and update work items seamlessly.
    MCP serverGitHub MCP Registry

  • Carrick

    TypeScript codebase intelligence for AI agents and IDEs, enabling searching and indexing across services and repositories.
    MCP serverGitHub MCP Registry

  • Rigour Code Reviewer

    Lets coding agents review their changes, find existing helpers, and recall the team's lessons.
    MCP serverGitHub MCP Registry