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AI assistants and Google Tasks integration through Model Context Protocol.
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MCP server tools for GraphDB
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MCP server for Apache Gravitino(incubating)
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MC
Local MCP server for Hey.com email - read, search, send, reply, and manage the screener via stored session cookies. Runs over stdio, stores no credentials.
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MCP Server to Generate Image
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Enables indexing and retrieving notes with full-text search using SQLite, plus building knowledge graphs to find relationships between concepts. Supports natural language note management, tagging, and semantic connections.
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Exposes educational indicators with a gender perspective from Mexico's SIESVIM (INEGI), covering data such as terminal efficiency, dropout rates, and literacy. It enables models to perform contextualized social research and analysis using official Mexican statistics.
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Provides persistent personal and organizational knowledge storage that any LLM can connect to for instant context about who you are, what you do, and your preferences. Enables AI agents to maintain long-term memory across sessions through structured data categories, semantic search, and export/import capabilities.
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Enables inventory management through MongoDB with tools for creating, listing, searching, updating, and deleting items and categories. Supports natural language interactions via Groq AI integration.
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A Model Context Protocol server that allows AI assistants and applications to access IQ.wiki data, enabling retrieval of specific wikis, user-created wikis, user-edited wikis, and detailed wiki activities.
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A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.
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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.