Boston Core
Provides large language models and agentic tools with safe, read-only access to Boston's open data portal for exploring trusted civic information.
About
Boston Core is a collection of Model Context Protocol (MCP) servers developed by the City of Boston's DoIT team. It empowers large language models and autonomous agents with safe, read-only access to Boston's open data portal, enabling staff, residents, and partners to effortlessly explore trusted civic information through conversational interfaces. The project currently features the Boston Open Data server, which wraps the City's CKAN instance, offering a curated toolset for searching datasets, inspecting metadata, and querying DataStore resources with predictable, LLM-friendly outputs.
Key Features
- Curated toolset for dataset discovery, metadata inspection, and DataStore queries
- 0 GitHub stars
- Read-only access with enforced timeouts and record limits
- Minimal Python dependencies for straightforward deployment
- Exposes Boston's CKAN open data portal
- LLM-friendly outputs for natural-language assistants and autonomous agents
Use Cases
- Integrating Boston's open data into AI assistants and agentic workflows
- Programmatically searching datasets, inspecting metadata, and querying data resources
- Enabling conversational exploration of Boston's civic data
Sponsored