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"Querying Elasticsearch (ES)" matching MCP servers:

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    Provides specialized analytics tools for querying VSee's Elasticsearch stats-\* indices, including account/group metrics, visit trends, platform breakdowns, rating distributions, and subscription tier analysis.
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    MIT
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    Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
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    Provides comprehensive tools for managing Elasticsearch clusters, including security management, search operations, and index administration. It enables users to monitor cluster health, handle InfoSec tasks, and execute complex queries using Elasticsearch Query DSL and ES|QL.
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    Enables AI assistants to interact with Kibana dashboards, visualizations, and Elasticsearch data through read-only resources and executable tools for searching logs, exporting dashboards, and querying data.
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    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.
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    MCP server providing access to Spain's National Statistics Institute (INE) Tempus3 JSON API, enabling querying of Spanish statistical data through natural language.
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    MIT
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    Enables comprehensive interaction with Elasticsearch APIs through natural language queries, specifically optimized for security analysis, threat detection, incident investigation, and compliance monitoring with advanced machine learning capabilities for anomaly detection.
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    Apache 2.0
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    A read-only MCP server for Elasticsearch 7.10 clusters, providing tools for cluster info, health, index listing, and Query DSL search with Google OAuth and Bearer token authentication.
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    An MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.
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    MIT
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    Enables natural language querying and analysis of OpenTelemetry traces, metrics, and logs stored in Elasticsearch/OpenSearch, allowing AI assistants to investigate performance issues, find root causes, and explore system behavior.
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    Enables secure and efficient interaction with Elasticsearch clusters through the Model Context Protocol, providing tools for data management, search, and export.
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    Provides CRUD tools for managing a database of Italian cities backed by Elasticsearch. It enables AI assistants to search, create, update, and delete city records through a standardized Model Context Protocol interface.
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    17 decision intelligence algorithms as MCP tools for AI agents. Bandits (UCB1, Thompson), LP/MIP solver (HiGHS), Monte Carlo simulation, Bayesian inference, graph analytics (PageRank, Louvain), genetic algorithms, CMA-ES, anomaly detection, time series forecasting, and more. All under 25ms, deterministic, zero LLM cost.
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    A secure local MCP server that provides AI assistants controlled filesystem access and command execution with an interactive approval system for dangerous actions.
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    Remote MCP server for nonpartisan U.S. Congress data: plain-language bill decodes (bilingual EN/ES), representative lookup by ZIP with district-office phones, and what's-moving urgency ranking. Read-only, keyless.
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    AGPL 3.0
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    An MCP server that gives AI coding agents accurate, version-aware API documentation for any npm package — straight from the source.
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    MIT