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    Read-only-by-default MCP server for Datanika, an open-source dlt + dbt-core data pipeline platform: browse connections, introspect and preview source tables, compile and run dbt transformations, and monitor pipeline runs. 25 tools (17 read-only, plus 8 write tools gated behind --allow-write); source lives in the datanika-mcp/ subdirectory of the repo.
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    AGPL 3.0
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    An MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explore schemas, perform full-text searches, and analyze dataset statistics through natural language.
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    Provides access to Ambivo API endpoints for natural language querying of entity data through a Model Context Protocol server with JWT authentication.
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    MIT
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    Enables querying SAP SuccessFactors OData API metadata and managing Role-Based Permission (RBP) configurations. It provides tools for retrieving entity metadata, listing permission roles, and inspecting user-specific access rights through MCP-compatible clients.
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    MIT
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    Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.
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    MCP server for SAP SuccessFactors that provides 52 tools across 15 categories for querying live data, generating business rules, validating imports, running analytics, comparing instances, auditing data, and building cutover checklists.
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    A Model Context Protocol server that enables natural language interaction with Snowflake databases through AI guidance, supporting core database operations, warehouse management, and AI-powered data analysis features.
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    MIT
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    An MCP server designed to interact with the RifaExpress backend via PostgreSQL database queries and REST API integrations. It enables users to manage core entities like companies, users, and plans while providing tools for database schema inspection and health monitoring.
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    MIT
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    Enables interaction with Marlo's maritime finance and operations platform, providing access to vessel management, voyage tracking, financial data, banking transactions, loans, compliance reporting, and operational analytics for shipping businesses.
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    MIT
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    Integrate the MCP Server for Mifos X an Open Source Core Banking Solution for Financial Institutions. Useful for managing clients, loans, savings, shares, financial transactions and generating financial reports.
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    Mozilla Public 2.0
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    DreamFactory MCP Server enables AI assistants like Claude to directly query your databases through DreamFactory's auto-generated REST APIs. This Node.js server implements the Model Context Protocol (MCP), allowing natural language database interactions while maintaining enterprise-grade security.
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    Apache 2.0
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    Implements a Multimodal Communication Protocol server for KevoDB, allowing AI agents to interact with the key-value database through a standardized API with support for core operations like get/put, scans, transactions, and batch operations.
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    MIT
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    Enables AI assistants to interact with Deephaven real-time data systems, allowing natural language queries, script execution, and management of both Community Core and Enterprise deployments for live data analysis and streaming workflows.
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    Apache 2.0
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    Enables users to manage company departments, employees, expenses, and performance ratings through a natural language interface in Claude Desktop. It features 12 specialized tools for comprehensive CRUD operations and AI-powered organizational analysis using Google Gemini.
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    MIT
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    Natural Language Analytics MCP server for Apache Druid. With this enterprise ready server in Java, one can query Apache Druid by natural language queries. Furthermore, the complete management like data loading of the Time Series Database Druid can be done with natural language commands.
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    16
    Apache 2.0