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"A tool for converting PDF files to text format" matching MCP servers:

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    Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.
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    MIT
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    A comprehensive MCP server with 37 tools for PDF operations including reading, searching, creating, merging, splitting, watermarking, form filling, and more, built on open-source libraries.
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    MIT
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    PDF Merge AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
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    MIT
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    MCP server that detects and guards against tool poisoning and prompt injection attacks in tool descriptions and schemas. It provides risk scoring, pattern detection, safe rewriting, and audit reports with zero external API cost.
    MIT
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    Remote MCP server for auditing app surfaces in AI agent ecosystems, checking recommendation status, and creating distribution plans.
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    MIT
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    Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.
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    MIT
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    20-tool MCP server - production web-intelligence API gateway exposing 10 Website Intelligence + 7 Marketing APIs as 20 MCP tools over Streamable HTTP + stdio, with pay-per-call Solana USDC payments. 20 tools: URL-to-Markdown, metadata, technology detection, contact extraction, SEO audit, SSL, DNS, sitemaps, robots.txt, Google Maps reviews, AI company/website summaries, citation checking Cloud-host
    MIT
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    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
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    MIT
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    Provides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.
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    MIT