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"Malt" matching MCP servers:

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    Enables Claude (or any MCP client) to read and update your Malt.fr freelance profile, stats, and missions, using browser automation and internal REST API.
    Apache 2.0
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    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.
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    15
    MIT
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    MCP server for MyAnimeList that enables searching anime/manga, getting details, rankings, seasons, characters, reviews, and user profiles without authentication, and managing personal anime/manga lists with authentication (token required).
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    MIT
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    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.
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    MIT
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    Exposes a user's MyAnimeList data (watch list, scores, statistics) as MCP tools for AI assistants to analyze taste, build statistics, and make recommendations.
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    MIT
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    Shared research cache for AI agents. Caches web research across sessions and users - hit means instant answer from verified sources, miss means your research saves the next dev's tokens. Semantic search with freshness tracking, gap detection, and real-time token measurement via JSONL. Free, open source.
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    AGPL 3.0
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    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.
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    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
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    MIT
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    Enables AI agents to build React applications using JP Morgan Chase's Salt Design System by providing real-time access to component APIs, documentation, and accessibility guidelines. It supports tasks such as scaffolding new projects, building UI patterns, and converting Figma designs into Salt code via the Model Context Protocol.
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    MIT
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    MCP server for interacting with the SuperOps.ai PSA/RMM platform, providing tools for managing clients, tickets, assets, and technicians via GraphQL API.
    21
    Apache 2.0