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"Examples of DeepSeek-related applications or projects" matching MCP servers:

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    Enables integration of DeepSeek's language models with MCP-compatible applications, offering features like chat completion, custom model selection, and parameter control for enhancing language-based interactions.
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    MIT
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    An MCP server that wraps the Tolgee localization platform API, enabling LLMs to manage translation projects, keys, translations, languages, and related workflows.
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    MIT
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    Provides access to the Database of Icelandic Morphology (BÍN) to look up word inflections, variants, and lemmas. It enables LLMs to answer grammatical questions and retrieve specific Icelandic word forms using standard grammatical tags.
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    MIT
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    MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.
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    Apache 2.0
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    Provides local anonymization of Czech legal documents by replacing sensitive entities with pseudonyms to ensure privacy during LLM interactions. It allows users to safely process documents like contracts and judgments by keeping original data offline and facilitating local deanonymization.
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    MIT
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    Enables LLMs to understand and work with shipbuilding terminology (Korean/English), including search, translation, and explanation of terms across 14 categories with 364 terms.
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    MIT
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    MCP server for TERMDAT, the terminology database of the Swiss Federal Administration, giving AI agents officially validated designations of Swiss authorities, departments, and legal acts across DE/FR/IT/EN with source references and validation status.
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    A local-first cognitive substrate for neurodivergent professionals. Gives Claude memory, a sense of time, a translator for corporate ambiguity, and a guardrail that refuses to amplify rumination, hyperfocus, or sycophancy. MCP-native. No telemetry. AGPL-3.0-or-later. Self-ID sufficient — no diagnosis gating.
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    AGPL 3.0
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    Enables document translation across multiple languages and AI-powered semantic search of PubMed literature. Supports various document formats including PDF, DOCX, PPTX with status tracking and customizable search parameters.
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