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    Enables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.
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    34 PyPI
    1
    MIT
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    Enables Claude Cowork on Windows to read, write, edit, list, find, and regex-search files inside a WSL distribution over stdio, accepting Windows and Linux path spellings. Access is confined to server-fixed roots, with secrets files refused, key-shaped strings redacted, and no delete or move operations.
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    MIT
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    Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.
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    MIT
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    Enables users to check whether a UK employer is licensed to sponsor a visa and whether a salary meets Skilled Worker thresholds, drawing on the official Home Office register of licensed sponsors and published GOV.UK salary rules. Exposes read-only tools for sponsor verdicts, fuzzy employer search, salary checks, and register metadata from Claude or the command line.
    4
    MIT
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    Enables users to validate contractor invoices against Article 4 of a framework contract with exact decimal calculations, generate Dutch draft letters, and review proposed approve, dispute, or hold verdicts in a local dashboard with an append-only decisions log.
    9
    MIT
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    Enables AI listing assistants to validate marketplace draft listings against seller-provided item specifics, returning PUBLISH or REVIEW with the exact words behind every unbacked claim.
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    1
    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    29 PyPI
    30
    Apache 2.0
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    Enables structural framing analysis of documents, identifying perspectives, omissions, and reader positioning, with numerical claim verification against authoritative sources.
    2
    291 PyPI
    Apache 2.0
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    Enables AI coding agents to retrieve the latest stable versions of packages and tools across multiple ecosystems, preventing outdated dependency versions in generated code.
    4
    211 PyPI
    9
    Apache 2.0
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    Free open-source CLI and read-only MCP tool from Advisors AI (advisorsai.ai): give it one public URL and it lists which machine-readable basics are present or missing (title, meta description, structured data, one h1, canonical, robots policy for AI crawlers, llms.txt, sitemap). No API key, no account, nothing stored.
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    1
    MIT
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    Enables AI agents to query the free official UK Companies House registry through four tools: searching companies by name, retrieving merged profiles with status, registered office, SIC codes, and current officers, pulling filing history, and decoding any UK SIC code to plain English offline. It runs on a free API key (and still starts without one), caching responses to keep repeat lookups cheap for prospect research, KYB, and due-diligence workflows.
    4
    MIT
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    Enables an AI agent to verify its draft answer against supplied sources sentence by sentence, flagging unsupported figures, dates, citations, and must/may wording and offering source-backed corrections. An optional judge mode can additionally assess prose via a configured LLM endpoint, while default operation is deterministic and offline.
    1
    320 PyPI
    AGPL 3.0
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    MCP server that checks a website's AI-search (GEO) readiness: robots.txt access for 16 AI crawlers (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended, Bingbot...), JSON-LD schema, llms.txt, sitemap and basic SEO tags. Python, stdio, MIT.
    3
    MIT
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    Read-only Supabase Row Level Security review. Analyzes an exported catalog query (no keys needed) for RLS turned off, policies that are just true, anon-callable SECURITY DEFINER functions, views exposing auth.users, public Storage buckets and more, and explains each rule.
    4
    MIT
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    Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.
    14
    26 PyPI
    Apache 2.0
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    MCP server for checking domain name availability across 500+ TLDs using RDAP with WHOIS fallback for specific TLDs.
    2
    MIT
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    MCP server for verifying Russian counterparties (legal entities and individual entrepreneurs) via public Federal Tax Service data: EGRUL/EGRIP, bankruptcy registry (EFRSB), Transparent Business, bailiff service (FSSP), and arbitration courts (KAD).
    8
    77 PyPI
    15
    MIT
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    Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.
    4
    MIT
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    Enables AI agents to look up companies and their Legal Entity Identifiers (LEIs) worldwide from GLEIF open data, including best-match name searches, single-LEI lookups, and bulk queries of up to 500 entries with optional parent entities. Results come from the Global Company Check actor on Apify, billed to the user's own account with no charge for companies not found.
    3
    MIT
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    Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.
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    3
    MIT
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    Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.
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    MIT
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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
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    28 PyPI
    MIT
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    Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.
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    29 npm
    MIT
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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
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    Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.
    3
    MIT
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    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
    4
    22 PyPI
    3
    MIT
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    Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.
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    19 npm
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    MIT