"Information about systems" matching MCP servers:

Enables MCP clients to connect to SAP ABAP systems via ADT, retrieving source code, table structures, and other development information through read-only tools.

Enables MCP clients to connect to SAP ABAP systems and retrieve development information such as source code and table structures.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

A server implementation of MCP for Apache Spark that provides query plans and catalog information to AI systems for query optimization and data discovery.

Enables development support for AS400/IBM i systems by providing read-only access to metadata, source code, and program dependencies via ODBC. It supports CL, RPG, and COBOL environments, allowing users to retrieve library, table, and system information.

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.

Enables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

A server that allows AI agents to query and retrieve information about upcoming events at Berghain nightclub through a DynamoDB-backed FastAPI service.

Enables searching and retrieving detailed information about Swedish companies, including financial data and annual reports from Bolagsverket (Swedish Companies Registration Office), with intelligent caching for fast responses.

MCP server that allows AI assistants to query and retrieve information about office supplies inventory from a CSV file.

An MCP server that provides standardized access to Pokemon data, allowing users to search, compare, and retrieve detailed information about Pokemon through natural language tools.

Enables AI-powered natural language queries about BIT Information Portal (BIP) data by integrating with BIP APIs through session management. Uses Google Gemini to intelligently route questions to appropriate endpoints and generate contextual answers about students, departments, courses, faculty, and achievements.