Data Analytics MCP Repositories

Connects to Google Search Console for SEO data analysis through natural language interactions, enabling property management, search analytics, URL inspection, and sitemap management.

A platform for conducting advanced network security tasks, including vulnerability analysis, traffic inspection, and attack investigation, through interactive dialogues with a specialized AI model. Designed for security professionals, it offers intelligent assistance for understanding and mitigating cybersecurity threats.

HexDocs MCP provides semantic search capabilities for Hex package documentation, enabling integration with AI applications to access and find relevant documentation efficiently. It includes an Elixir binary for processing documentation and a TypeScript server that implements the Model Context Protocol to facilitate searches.

Enable seamless interaction with MySQL databases, allowing the execution of SQL queries and retrieval of results in real-time. Integrate MySQL tools into MCP workflows for data querying and analysis.

Integrate with medRxiv's preprint repository to search for and access health sciences research papers and their metadata via a standardized interface. Enables efficient querying and retrieval of paper details based on custom search parameters and DOI.

Facilitates in-depth investment research by integrating with the Octagon Market Intelligence API, enabling detailed analysis of SEC filings, earnings calls, financial metrics, and real-time stock market data.

Enables the construction and querying of real-time, temporally-aware knowledge graphs, managing entities, relationships, and episodes. Facilitates semantic and hybrid searches to enhance memory and reasoning in AI agents.

Access comprehensive data and analytics for NFTs through the NFTGo API, providing detailed collection and asset information, market trends, and wallet holdings for Ethereum-based NFTs. Supports advanced search, filtering, and webhook notifications for real-time insights in the NFT ecosystem.

Enables semantic search capabilities over a Qdrant vector database, facilitating the retrieval and exploration of collections using OpenAI embeddings.

Manage and query documents in a local directory using retrieval-augmented generation techniques, integrating context from text files and Git repositories. Supports listing documents and generating responses based on queries with context from the stored content.

A low-code Python toolkit for creating and deploying data visualization applications efficiently. It emphasizes customization and quick prototyping with built-in design best practices.

Provides personalized fashion recommendations through the integration of a CLIP-based model, facilitating the upload of clothing images and generating clothing tag suggestions. Utilizes YOLO for clothing detection and a backend powered by FastAPI and MongoDB for efficient data management and real-time updates.

Integrates with the XTQuant quantitative trading platform to provide access to trading data and functionalities, enabling advanced data querying, market data retrieval, and visualization. It supports various operations related to stock details and historical market data, enhancing trading strategy development with AI assistance.

Interact with Metabase to access dashboards, execute queries, and retrieve data directly from a Metabase instance. Provides structured data access through resources like cards/questions and databases.

Read and analyze binary files, extracting metadata and structure from various binary formats, including Unreal Engine assets. The server features an extensible architecture for adding support for new binary formats as needed.

Logs unusual events in conversations and analyzes statistical variations, storing the results in a SQLite database. Designed for use with MCP-compatible clients like Claude Desktop, it enhances interaction by monitoring conversation structure.

Access Google Analytics Data API to retrieve reports and real-time data, simplifying data analysis with relevant metrics and dimensions.

Analyze git repositories to uncover development patterns and branch relationships, providing insights into repository history and branch activities.

Automates SEO tasks and optimizes content using insights from Google Ads Keyword Planner, including keyword research, SERP analysis, and competitor analysis. Provides tailored SEO recommendations based on data-driven insights.

Explore and interact with GraphQL schemas, retrieving detailed type definitions and simplifying field information including types and arguments. Search for types and fields using pattern matching, and filter out internal GraphQL types for cleaner results.

Query Bilibili user follower counts by providing their user ID, with support for error handling and detailed logging. The server can be integrated with AI models like Claude and GPT using the MCP protocol.

Provides access to arXiv research papers via a straightforward MCP interface, enabling AI models to search and retrieve academic articles.

Integrate AI assistants with the Metabase analytics platform for direct interaction with analytics data. Access dashboards, execute queries, and manage resources through conversational AI utilizing structured JSON responses.

Access and manage InfluxDB time-series data, execute queries, write data, and utilize templates for common operations. Provides resources for organization, bucket, and measurement data management.

Integrate with OpenCTI to access cyber threat intelligence data, enabling queries for threat intelligence reports, malware information, and indicators of compromise.

Enables searching for MCP server implementations through the filtering of results by name, description, or tags. Facilitates streamlined exploration of available MCP servers by allowing users to limit search results.

Interact with Elasticsearch 7.x using a standardized MCP protocol to perform basic operations and advanced search functionalities. Access features like aggregation queries, highlighting, and sorting without the complexity of direct API calls.

Integrates AI assistants with the Metabase analytics platform for accessing dashboards, executing queries, and managing analytics resources through conversational interaction. Supports structured data access and provides various authentication methods for secure operations.

Retrieve comprehensive professional cycling data including detailed statistics on riders, race results, and historical performance. Analyze rider performance and explore information about cycling teams and competitions.

Interact with the Nile database platform through a standardized interface to manage databases, execute SQL queries, and handle credentials.