Data Analytics MCP Repositories

Provides database interaction with Snowflake, enabling SQL queries and aggregating data insights. Exposes schema context as resources for enhanced data accessibility.

Query and analyze Wazuh security logs stored in OpenSearch, providing detailed information on alerts and generating statistics. Visualize trends over time and enhance security monitoring with structured error handling and progress reporting.

Implements MCP Tools for managing Splunk resources including saved searches, alerts, and fired alerts. Supports STDIO and SSE transports for flexible deployment and interaction with Splunk data.

Access trending repositories and developers on GitHub with filtering options for programming language, time period, and spoken language, returning data in JSON format.

Enable AI assistants to access and interact with Odoo ERP systems by utilizing models, records, and methods through a standardized protocol. Execute custom Odoo methods, retrieve employee and holiday data, and simplify integration with flexible configurations and effective error handling.

Analyzes PostgreSQL database configurations, assesses performance metrics, and provides security evaluations along with optimization recommendations.

Query analytics data from Plausible Analytics, providing real-time insights and reports based on the user's account information. Supports integration with AI models for enhanced data-driven decision making.

Interact with Google Sheets to create, read, and edit spreadsheets. Automate spreadsheet tasks to improve data management workflows.

Connect to Elasticsearch or OpenSearch clusters for natural language interaction, enabling operations such as searching documents, managing indices, and monitoring cluster health.

Provides access to Google Search Console data for advanced search analytics and customizable reporting. Enables retrieval of search performance metrics with support for multiple dimensions and flexible date ranges.

Scrapes data and downloads images from Vinted and Depop, storing the information in a SQLite database. Provides a command-line interface for easy data collection from user accounts on these platforms.

Access and manage Grafana dashboards and data sources, including querying Prometheus and querying logs and metrics from Loki. Fetch and update dashboard details, including panel information and datasource metadata.

Fetch real-time cryptocurrency price data and historical candlestick information from the OKX exchange, providing access to market insights and trading data.

Provides semantic memory and search capabilities for AI assistants, enabling the storage, retrieval, and management of text-based memories. Enhances context awareness during conversations through advanced features like tagging and health monitoring.

Enables conversion between various geographic data formats including WKT, GeoJSON, TopoJSON, KML, and CSV, as well as performing reverse geocoding. Interfaces with GIS libraries to manage geographic data formats and coordinate systems efficiently.

Interacts with the Datadog API to monitor systems, access monitor data, retrieve dashboards, query metrics, and manage incidents. Provides comprehensive error handling and advanced log searching capabilities.

Comprehensive documentation for DataEase, focusing on data management, system architecture, and user functionalities. Provides structured resources for installation and deployment, along with user manuals for various features.

Efficiently interacts with JSON files by splitting, merging, and validating data based on specified conditions. Designed for seamless integration with language models to automate JSON data manipulation within development environments.

The Etherscan Tools MCP server allows users to easily access and interact with Ethereum blockchain data. It provides functionalities like checking wallet balances, viewing transaction histories, tracking token transfers, and more.

Manipulates Excel files without requiring Microsoft Excel. Supports creating, reading, and modifying workbooks, along with advanced features like formatting, charting, and generating pivot tables.

Manage and search vector embeddings efficiently with capabilities for creating vector tables, adding data, and performing similarity searches. Supports the storage of embeddings along with associated metadata.

Access Google BigQuery datasets and execute SQL queries using a simple interface that incorporates Large Language Models. The server manages authentication, handles connection settings, and provides tools for querying and listing datasets and tables.

PCM provides tools for analyzing and reverse engineering binaries through disassembly, decompilation, and memory analysis. It includes features like function renaming, type setting, and note management to enhance binary analysis workflows.

Provides SQL analysis, linting, and dialect conversion using SQLGlot, validating SQL syntax and facilitating conversion between different SQL dialects.

This server implements the Model Context Protocol to interact with the Audius decentralized music platform. It serves as a bridge, allowing large language models to query music metadata, manage social interactions, and analyze performance metrics, similar to how exploratory data analysis reveals insights. It supports nearly all API functions, enabling content discovery, creator monetization analysis, and structured data retrieval for decision support.

Interact with Splunk Enterprise/Cloud using natural language to perform searches, manage users, and handle KV store operations. Supports real-time communication and provides RESTful API endpoints for versatile integration.

Provides access to a dataset of Q-Anon posts for research purposes, enabling users to search, filter, and analyze the content for sociological insights.

A smart code search and analysis tool designed to enhance AI language models' capabilities in understanding and managing codebases through semantic code search and contextual processing.

Facilitates secure data sharing while keeping the underlying data private. It allows users to share information confidently, ensuring privacy and control over their data during transfer.

Integrate cryptocurrency and blockchain project data through an MCP interface, providing access to project details, organization information, and search functionalities.