Data Analytics MCP Repositories

Test various functionalities of the Model Context Protocol. Experiment with tools and resources in a controlled environment to enhance your LLM applications.

Query and analyze comprehensive geologic data using the Macrostrat API, providing access to geologic units, minerals, timescales, and more. Create visualizations based on geological data to enhance understanding.

Search and analyze photos in a library using various intuitive tools, including location-based searches to easily find images taken in specific places.

Access Federal Election Commission campaign finance data through the OpenFEC API, enabling detailed searches for candidates, committees, and financial contributions.

Provides secure, read-only access to BigQuery datasets, allowing for natural language querying of data without the need to write SQL queries manually. Facilitates direct communication between language models and BigQuery for efficient data retrieval.

Retrieve and interact with documentation databases using hybrid semantic and keyword search. Automatically index and reindex various file types while supporting live file watching and low-latency document querying through a FastMCP tools API.

Analyzes and enhances the quality of documentation, specifically README files, by providing insights and suggestions for improvement. Utilizes advanced neural processing techniques for thorough evaluation and visual analysis of documentation elements.

Manage and optimize PostgreSQL databases by analyzing configurations, monitoring performance metrics, assessing security, and providing recommendations for improvements. Streamline database operations with tools for schema management and data migration.

Interact with construction documents, drawings, and specifications. Analyze technical details and retrieve specific information through advanced retrieval-augmented generation and hybrid search.

Analyze Instagram engagement metrics, extract demographic insights, and identify potential leads from comments and accounts. Support features such as sentiment analysis and comparative engagement assessments across different Instagram accounts.

Provides real-time and historical cryptocurrency market data by integrating with major exchanges, facilitating price tracking and trend analysis.

Connect and control Apache Superset through natural language requests to manage dashboards, charts, and databases programmatically.

Manage and query Apache Iceberg tables using a SQL interface. Facilitate data operations and management directly from Claude Desktop for seamless interaction with Iceberg data lakes.

Extract insights from YouTube videos, analyze transcripts, and retrieve metadata and channel information. Enable keyword-based video discovery to support content strategy development.

Interfacing with GraphQL APIs, enabling LLMs to execute queries and perform schema introspection dynamically.

Query Morpho's GraphQL API to access market data, vaults, and positions. Supports historical data, pagination, ordering, filtering, and validation.

Integrates LLM applications with RAG data sources and tools, enabling the creation of customized RAG solutions via powerful embedding models and vector databases. Facilitates interaction between LLMs and data sources through a standardized protocol.

Interact with the Glide API, manage app information, and perform CRUD operations on tables and rows. Supports both Glide API versions for seamless integration.

Access real-time earthquake data from the USGS API, enabling users to query earthquake information based on various parameters and retrieve details about specific events.

Integrates Jina.ai's Reader API for efficient web content extraction, enabling analysis and processing of documentation and web content.

This read-only MCP server enables querying live Google Sheets data through a straightforward interface, allowing AI models to access and retrieve updated spreadsheet information using natural language queries without requiring SQL knowledge.

Provides powerful plugins for efficient data mining, enabling users to analyze and uncover insights from raw data. It streamlines data workflows and transforms information into actionable intelligence.

Execute SQL queries on a ClickHouse cluster, list all databases, and retrieve tables within a specified database.

Provides a read-only interface to query live Google Analytics data using natural language, converting analytics information into relational models via the CData JDBC Driver.

Integrate SEO data capabilities by accessing SERP results, keyword analysis, backlink information, and on-page analysis through a JSON interface. This server facilitates real-time data retrieval to enhance SEO strategies.

Programmatic access to Splunkbase functionality, enabling users to search for, download, and manage Splunkbase apps through a standardized interface.

Access Korean school meal information, including detailed meal menus, nutritional data, and ingredient origins for any school in Korea through the NEIS Open API. Supports specific date queries to simplify meal planning with real-time data.

Interact with dbt project metadata to explore and query node details, lineage, and compiled SQL code. Perform searches within node names and columns, and retrieve detailed attributes and upstream/downstream dependencies.

Enables automation and interaction with LeetCode problems, contests, solutions, and user data through an API. Supports authenticated requests for comprehensive access to LeetCode features.

Manage, analyze, and visualize knowledge graphs with support for various graph types, including ontologies and timelines. Integrate effectively with MCP-compatible AI assistants to query and manipulate knowledge graph data while tracking resource management and version status.