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Helps users find suitable LinkedIn job opportunities by automatically scraping listings, analyzing compatibility with user profiles using AI, and sending custom match reports via email.
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Enables AI agents to scrape job offers and filter them based on user-defined criteria, using MCP resources, prompts, and tools.
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AI-powered MCP server understands natural language queries about your Kubernetes cluster
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Kagi search MCP server
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MC
A Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.
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Enables searching for keywords in files with support for case-sensitive/insensitive matching, returning line numbers, full line content, and match counts for all occurrences.
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Enhanced MCP memory system with dynamic compression, context management and thinking process integration. Based on the original MCP memory server.
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A local document processing server that can index various document formats (PDF, DOCX, TXT, HTML) and answer questions based on their content using the Model Context Protocol.
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Enables searching personal knowledge vaults using hybrid semantic and keyword matching through the Fondu Knowledge Vault API. Retrieves and reranks relevant information from personal knowledge bases with flexible authentication options.
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Enables querying and retrieving merit records and official reports of Korean independence patriots from the Ministry of Patriots and Veterans Affairs' electronic archive, including search by name, date of birth, honor grade, and movement affiliation.
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An MCP server that enables interaction with Ky2Help, providing tools to retrieve and manage Ky2Help changes. It leverages the Model Context Protocol to bridge language models with Ky2Help management systems.
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mcp server for craw the interview questions in discussion
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A context-efficient proxy that replaces individual tool schemas with three meta-tools for semantic search, schema retrieval, and tool routing. It enables agents to manage hundreds of backend tools while maintaining a constant context footprint of approximately 500 tokens.
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An MCP server that enables users to fetch and audit documentation from user-defined llms.txt index files. It provides tools to list documentation sources and retrieve content from specific URLs with built-in domain access controls for secure context retrieval.
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Provides controlled access to llms.txt documentation files through MCP tools, allowing AI assistants to fetch and read documentation from user-approved domains with full audit visibility of tool calls and context retrieval.
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Enables MCP host applications to retrieve and process structured documentation from user-defined llms.txt files. It provides tools to fetch specific URLs and audit the documentation context returned to the LLM.
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Simulating Multiple Context Protocol
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Enables OSINT research by searching usernames across hundreds of social networks and websites, and analyzing URLs to extract information and find associated usernames using the Maigret tool.
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A server-based tool that enables the generation of mathematical animations from natural language prompts by leveraging Manim.
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This MCP server provides a tool to generate manual test cases in Markdown or CSV format from documentation files and custom rules. It supports text and PDF inputs and can leverage LLM sampling to automate the creation of detailed test scenarios.