"Finding Information About Public Places" matching MCP servers:

Enables semantic search and discovery of free public APIs from an extensive catalog. Provides embedding-based search over API names and descriptions, plus detailed API information retrieval.

Query Sage Veterinary Imaging's public data including website content, provider directory, pricing, and location details.

Connects to CAD/AVL database and NERIS API to expose operational tools for public safety data analysis, including incident search, unit tracking, and cross-source correlation.

Enables read-only access to public U.S. healthcare market-intelligence datasets, including catalogs, schemas, metadata, checksums, and artifact URLs. It supports CMOs, analysts, researchers, and AI agents in discovering and consuming governed market observations without patient-level data.

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.

DBCode is a Visual Studio Code extension that allows you to manage many databases, including PostgreSQL, MySQL, SQL Server, DuckDB, Redis, MongoDB, and more. DBCode offers the option to run an MCP server, providing access to those databases, their schemas, and the ability to execute queries.

Read-only SQL across PostgreSQL, MySQL, S3-compatible buckets and folders of Parquet, CSV and JSON files — and one query can join across all of them, federated in-process by DuckDB. Sources are given as connection strings at startup, and no tool writes: they are absent rather than disabled.

A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.

A Model Context Protocol server that enables LLMs to interact with Ramp's financial data by retrieving, analyzing, and running tasks through Ramp's Developer API, using an in-memory SQLite database to overcome token limitations.

Enables Claude Code to execute read-only queries and DML operations on Oracle and PostgreSQL databases, and to list or describe database tables.

Enables asking natural-language questions about three published data builds (housing, flights, and a fictional bank), with the agent finding tables, writing SQL, and re-verifying every number against the warehouse before returning an answer.

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

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 AI agents and MCP clients to browse and search GitHub repositories, manage issues and pull requests, and query or update a local SQLite database through validated tools. It also supports guided Claude Code skills for repository exploration, database assistance, and health checks.

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

MCP Server for public disclosure information of Korean companies, powered by the dartpoint.ai API.

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.

Enables MCP clients to explore a read-only Oracle Health (Cerner) FHIR R4 public sandbox by finding synthetic patients, inspecting which parts of their records hold data, and searching or reading trimmed FHIR resources.

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.

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.

Provides read-only access to TrustLayer's public API, enabling users to query and retrieve data about parties, documents, projects, and other TrustLayer entities through MCP-compatible tools.

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.

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.

Enables management of Google Maps saved places through a SQLite database. Allows users to store, query, and organize their Google Maps places data locally.

An MCP server that gives models semantic context about a data warehouse, including table meaning, units, lineage, and health, to reduce guessing.