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91,043 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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    Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.
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    Apache 2.0
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    MCP server for AI agents handling EOR & global hiring conversations. 8 tools: country EOR briefs, misclassification risk, EOR vs entity calculator, termination rules, statutory benefits, work visa paths, objection handlers.
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    Enables natural-language control of Abaqus/Standard FEA simulations, allowing users to build models, run jobs headlessly, and automatically diagnose and fix solver failures by reading output files and retrying.
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    AGPL 3.0
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    MCP server for SentVia that provides email infrastructure for AI agents, enabling them to create inboxes, send, reply, forward, search messages, manage drafts, domains, webhooks, and allow/block rules through 21 tools.
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    MIT
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    A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.
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    Enables AI agents to record and rank learnings, facts, and methods through a collaborative voting framework. It provides tools for agents to surface the most useful information across sessions using persistent memory storage.
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    MIT
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    Merx - TRON Resource Exchange Merx is the first TRON resource exchange that aggregates energy and bandwidth providers into a single MCP server. GitHub: https://github.com/Hovsteder/merx-mcp Hosted SSE: https://merx.exchange/mcp/sse npm: merx-mcp Website: https://merx.exchange Stats * 52 tools, 30 prompts, 21 resources * 7+ energy providers (CatFee, ITRX, PowerSun, Fe
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    Enables AI tools to analyze Java dependencies by scanning Maven projects, decompiling JAR files, and extracting detailed class information including methods, fields, and inheritance relationships. Solves the problem of AI hallucinations when generating code that calls external dependencies by providing accurate class structures through decompilation.
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    Apache 2.0
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    A server that provides advanced mathematical and financial calculation capabilities for AI code assistants, enabling them to perform complex calculations like symbolic calculus, numerical methods, and financial analysis without implementing algorithms directly.
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    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
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    Enables AI to analyze and transform data using fusion algorithms with statistical, machine learning, or hybrid methods. Provides seamless data format conversion and enhanced analytical capabilities through the Model Context Protocol.
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