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97,619 servers. Updated
20 Best YouTube MCP Servers: compared and ranked, October 2026Ranked from 792 matching servers on stars, growth, downloads and maintenance. Updated .

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"Using YouTube to obtain and summarize video content" matching MCP servers:

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  • A
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    A
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    maintenance
    Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.
    2
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    An MCP server that enables agents to safely interact with CMS content, with deny-by-default write policies, type/field allowlists, and structured audit trails.
    5
    MIT
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    license
    B
    quality
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    maintenance
    Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.
    1
    MIT
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    Not graded
    quality
    D
    maintenance
    Enables AI agents to read any web page as clean Markdown and inspect its metadata, structure and technology stack, plus check redirects, TLS certificates, security headers, robots.txt, sitemaps, feeds, domains, SEO, broken links, email authentication (SPF/DMARC/DKIM) and SSO (SAML/OIDC). It also provides developer utilities such as cron, regex, color, Unicode and time-zone tools along with Hyperliquid perpetuals market data, all hosted remotely on Apify with pay-per-call pricing.
    MIT
  • F
    license
    A
    quality
    A
    maintenance
    An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.
    2
    1
    -
  • A
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    Not graded
    quality
    C
    maintenance
    Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    Provides real-time content safety protection for large language models by detecting and preventing risks in both input and output content across multiple dimensions including compliance, ethics, and security.
    MIT
  • A
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    maintenance
    A wrapper for mcp-remote that provides secure authentication for protected MCP servers using Adobe IMS or Okta OAuth flows. It features automated token management, validation, and background refreshing for seamless access to remote resources.
    54 npm
    2
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    A secure MCP proxy server with JWT authentication, SQL guardrails, rate limiting, and Kafka audit logging, enabling enterprise-grade access control for MCP clients like Cursor and Claude Desktop.
    -
  • A
    license
    C
    quality
    D
    maintenance
    Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.
    1
    3
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.
    1
    Apache 2.0
  • A
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    Not graded
    quality
    C
    maintenance
    Enables AI agents to access only task-relevant data with secrets hidden and personal details pseudonymized, while enforcing destination policies to prevent data leakage even under prompt injection.
    Apache 2.0
  • A
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    Not graded
    quality
    D
    maintenance
    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    MIT