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    . A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{
    4,392 npm
    MIT
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    Provides authenticated access to Google Workspace APIs with a focus on Gmail operations and planned Calendar support, featuring secure OAuth authentication and multi-account management with detailed error handling.
    13
    1,415 npm
    192
    Apache 2.0
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    Enables read-only access to multiple Google Drive accounts simultaneously through secure service account authentication. Supports listing, searching, and extracting content from Google Workspace documents, spreadsheets, and text files.
    6
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    MCP server with built-in Google OAuth 2.0 authentication, enabling secure tool access via Google sign-in with automatic token lifecycle management and optional domain restriction for Google Workspace organizations.
    27 PyPI
    MIT
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    Policy layer for multi-agent workspaces: one JSON policy file decides what each path is worth; agents can audit, explain and dry-run clean plans themselves, nothing is ever deleted by pattern, and every action lands in a hash-chained journal. Zero dependencies; pip install workspace-metabolism then wm mcp.
    9
    24 PyPI
    2
    MIT
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    Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.
    4
    MIT
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    Enables MCP clients to safely read, write, edit, search, and optionally run commands within one or more named project workspaces, while maintaining a work journal and tracking changes.
    19
    MIT
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    This MCP server enables AI assistants to search the Google Fonts catalogue, retrieve detailed font metadata, generate live HTML text previews, and obtain embed code for use on web pages.
    4
    156 npm
    MIT
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    MCP server for searching Google Fonts and generating complete CSS/Tailwind typographic systems with font pairings and modular scales.
    5
    103 PyPI
    17
    MIT
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    Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.
    3
    80 PyPI
    MIT
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    MCP server for the Google Tag Manager API v2, enabling natural-language management of containers, workspaces, tags, triggers, variables, and publishing. It handles OAuth authentication and built-in rate limiting for the strict GTM API quota.
    25
    39 npm
    1
    MIT