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  • mult-fetch-mcp-server

    lmcc-dev
    A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables AI assistants to fetch web content in multiple formats (HTML, JSON, text, Markdown) with intelligent content extraction, chunk management, and browser automation support.
    5
    52
    15
    MIT

  • molt-mcp

    bndkts
    A
    license
    A
    quality
    D
    maintenance
    Provides LLMs with access to molt-md, an encrypted markdown document hosting service, for managing and reading secure knowledge bases. It enables users to create, update, and organize encrypted documents into workspaces with full version control and end-to-end encryption.
    11
    1
    MIT

  • mal-mcp

    UmutKDev
    A
    license
    A
    quality
    B
    maintenance
    Exposes a user's MyAnimeList data (watch list, scores, statistics) as MCP tools for AI assistants to analyze taste, build statistics, and make recommendations.
    20
    1
    MIT

  • bitbucket-mcp

    matt-nann
    A
    license
    A
    quality
    C
    maintenance
    MCP server for Bitbucket Cloud that enables reviewing, managing, and merging pull requests, assigning reviewers by name, reading files at a ref, and inspecting pipeline status from any MCP client.
    14
    MIT

  • dart-risk-mcp

    anboyu-alt
    A
    license
    A
    quality
    A
    maintenance
    Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.
    26
    1
    MIT

  • Conarium

    dogrucanemek-alt
    A
    license
    A
    quality
    -
    maintenance
    Self-hosted governance layer between an AI assistant and your data: allow/deny policy, deterministic PII masking, row caps, and a hash-chained audit log with an Ed25519-signed receipt for every access, verifiable offline.
    4
    2,370
    2
    MIT

  • crowd-test-mcp

    anhhuyn411-alt
    A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to unleash a crowd of role-played virtual users — impatient shoppers, seniors, keyboard-only users, privacy hawks, chaos monkeys — on a website. Each persona browses in a real Chromium browser, files UX/QA findings in character, and the site receives a damage report with an S–F survival grade. Accusations can be cross-examined by up to three independent verification engines
    4
    1
    MIT