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92,438 servers. Updated
20 Best PDF MCP Servers: compared and ranked, September 2026Ranked from 1,504 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
    57
    27
    Apache 2.0
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    Shows your current Claude Desktop activity as Discord Rich Presence, including model, status, usage, and subscription info.
    MIT
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    Enables AI clients like Claude to triage, investigate, and operate Icinga installations through natural language, integrating with Icinga's REST APIs and providing deep awareness of monitoring plugins and historical performance data.
    5
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    A remote MCP server that provides AI agents access to the Rootly API for incident management, allowing users to query and manage incidents, alerts, teams, services, and other incident management resources through natural language.
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    An MCP server that gives AI assistants tools to analyze Salesforce Apex debug logs for performance bottlenecks, slow methods, and governor limit usage.
    4
    51 npm
    32
    BSD 3-Clause
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    Gives your AI assistant full control of a Discord server: 148 tools for chat, moderation, automod, events, and administration, up to building a complete community server from one paragraph. Every destructive action previews first and waits for your confirmation.
    155
    46 npm
    8
    Elastic 2.0
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    MCP server for Yandex Webmaster API v4.1 with 37 tools covering indexing, search queries, diagnostics, recrawl, sitemaps, links, and important URL monitoring.
    37
    MIT
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    A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports.
    MIT
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    Analyzes application crash dumps and extracts debug symbols, transforming Windows minidump files into readable stack traces and providing AI-powered crash analysis to help identify root causes and fix critical issues.
    8
    MIT
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    Securely integrates Wazuh security data with LLMs (such as Claude Desktop) by retrieving alerts from Elasticsearch indices and transforming them into MCP-compliant format, enabling real-time security context in LLM applications.
    240
    MIT
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    MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.
    9
    3
    MIT