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    Enables creation and management of knowledge graphs with entities, relationships, and observations through HTTP streaming. Supports persistent storage, search functionality, and CRUD operations for building and querying interconnected knowledge bases.
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    Enables remote access to the MemPalace MCP server via HTTP, supporting bearer token authentication and concurrent clients while exposing all mempalace tools.
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    Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.
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    Provides LLM access to Exasol database via MCP tools, including metadata reading and data queries, with an optional on-premise text-to-SQL (Governed SQL) translation.
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    MIT
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    Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.
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    MIT
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    Provides a RESTful API to query laboratory inventory data from MongoDB, including stock levels, expiration tracking, and purchase suggestions. It is specifically designed to optimize token usage for AI assistants through dedicated tool endpoints for inventory management.
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    Enables AI agents to query and manage MySQL databases through a structured MCP interface, supporting SQL execution, table inspection, and database operations.
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    MIT
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    opensearch-mcp-server-py is a Model Context Protocol (MCP) server for OpenSearch that enables AI assistants to interact with OpenSearch clusters. It provides a standardized interface for AI models to perform operations like searching indices, retrieving mappings, and managing shards through both stdio and streaming (SSE/Streamable HTTP) protocols.
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    Apache 2.0
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    A Model Context Protocol server that retrieves and analyzes Sentry.io issues, allowing users to inspect error reports, stacktraces, and debugging information from their Sentry account.
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    Enables complete interaction with Airtable databases through 16 CRUD operations including batch processing, schema management, and record manipulation. Designed for AI applications and n8n workflows with HTTP streaming support.
    Last updated