Data Analytics MCP Repositories

Connects large language models (LLMs) to APIs and executable Python code, facilitating local data science workflows. Provides a user-friendly notebook guide to create agents and functions efficiently.

Access the Gallica digital library to search for documents, images, maps, and other resources, and generate structured research reports that include organized bibliographies and relevant visual content.

Provides postal code (CEP) address lookups using the ViaCEP API. Integrates with command-line tools for efficient address retrieval tasks.

Read, write, and analyze Excel files while seamlessly managing data through various functionalities, including accessing multiple worksheets and exporting structure information.

Connect and control 3D Slicer through natural language for medical image processing and scene manipulation. Execute Python code directly in the Slicer environment to enhance workflow and automate tasks.

Manage and enhance interactions with contextual information using a robust knowledge graph. It captures, stores, and retrieves data seamlessly with PouchDB for improved consistency and organization by project-specific paths.

Fetch indexed blockchain data using GraphQL queries from The Graph's subgraphs, enabling structured access to blockchain information for AI agents.

Manage Aranet4 CO2 sensor data by scanning devices, collecting measurements, and storing them in a local database for historical querying and visualization. Provides assistance for configuration and automates data updates for ongoing monitoring.

Transforms and structures text into JSON formats by extracting key information from AI-generated text. Facilitates seamless data integration into applications by converting unstructured text into structured JSON data.

Analyze and query XMind mind maps using features for searching, extracting, and managing content across multiple files. Supports task management, hierarchical navigation, and secure directory access.

Query and visualize OpenStreetMap data through a web-based interface, utilizing PostgreSQL/PostGIS for backend data management. Features include dynamic map interactions such as adding markers and polygons as well as adjustable view settings.

Enable semantic search capabilities across multiple collections in a Qdrant vector database, efficiently retrieving semantically similar documents and tracking collection sources for improved context.

Manage and interact with an OpenSearch cluster by utilizing tools for index management, cluster health monitoring, and document searching. Streamline the management of indices and clusters while seamlessly integrating into applications.

Provides read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, papers, and other resources using a custom `hf://` URI scheme.

Wraps the dbt CLI tool to enable interaction with dbt projects for executing data transformation commands like run, test, and compile. Facilitates environment variable management and configurable paths for dbt execution.

Interact with DuckDB databases, enabling data analysis and manipulation through the Model Context Protocol (MCP). Provides functions for querying and managing database interactions effectively.

Access Prometheus metrics and execute PromQL queries through standardized interfaces to analyze metrics data. Simplifies monitoring and data exploration by enabling the listing of metrics and retrieving instant or range query results.

Manage and interact with Raindrop.io bookmarks, collections, tags, and highlights using the MCP server interface. Perform CRUD operations, advanced searches, tag management, and receive real-time updates.

Connects to a CockroachDB instance to execute SQL queries and access database schemas and cluster metadata for enhanced data analysis. Provides tools for query optimization and execution plan analysis.

Provides tools for querying A/B test data via the Hackle API, facilitating data retrieval and manipulation for experimentation workflows. Enables access to paginated lists of experiments with search functionality.

Enables LLMs to interact with GraphQL APIs, providing schema introspection and query execution capabilities for dynamic data access. Secure management features ensure safe operations in production environments.

Analyze BloodHound data to uncover complex Active Directory attack paths using natural language, facilitating security assessments with a comprehensive suite of specialized tools for Active Directory analysis and reporting.

Provides advanced observability and evaluation tools for AI applications, facilitating performance tracking, dataset management, and prompt engineering. Integrates with various frameworks and large language model providers for seamless operation.

Analyze datasets, generate research papers, and automate email delivery using advanced AI capabilities. Provides detailed data analysis, insights, and reporting directly from data files.

Enables AI agents to retrieve documents from a vector database using Retrieval-Augmented Generation (RAG) techniques. Integrates with GitHub to process Move files and incorporates a language model for generating responses based on retrieved information.

Track food consumption, analyze nutrition, and manage dietary restrictions by searching for products, logging meals, and creating personalized meal plans. Evaluate product compatibility with dietary restrictions and view detailed nutrition summaries.

Provides access to PubChem chemical and bioassay data through a standardized MCP interface, allowing users to search for compounds, retrieve detailed chemical and bioassay information, and query molecular properties.

Retrieves comprehensive vulnerability data, including CVE details, CWEs, CVSS scores, and EPSS scores to evaluate exploitation likelihood. Facilitates integration with developer tools for enhanced cybersecurity workflows.

Provides detailed geolocation information for any IP address, including network data, ISP, and timezone details. No API key or registration is required for access.

Semantic analysis of chat conversations using vector embeddings and knowledge graphs, enabling the extraction of concepts and analysis of conversation patterns.