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MCP server · Developer Tools

Ontario Data MCP

MCP server for searching, downloading, and analyzing datasets from Ontario, Toronto, and Ottawa open data portals

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About Ontario Data MCP

Ontario Data MCP is an MCP server published by sprine in the Developer Tools category: mCP server for searching, downloading, and analyzing datasets from Ontario, Toronto, and Ottawa open data portals.

The repository has 1 stars and 0 forks, with the last commit 10 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/sprine/ontario-data-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

find_related_datasetsFind datasets related by tags and organization

Parameters not published.

list_organizationsList government ministries with dataset counts

Parameters not published.

list_portalsList all available portals with platform type

Parameters not published.

list_topicsList all tags/topics in the catalogue

Parameters not published.

search_datasetsSearch for datasets across all portals (or narrow with `portal=`)

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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Releases

v0.2.2v0.2.2
v0.2.1v0.2.1
v0.2.0v0.2.0
v0.1.7v0.1.7
v0.1.6v0.1.6

README

ontario-data-mcp

[!IMPORTANT]
Beta: This project is under active development. The data structure and tool interfaces may change. LLM-generated analysis may contain errors. Always verify critical findings against the returned source data.

This is an MCP server for discovering, downloading, querying, and analyzing datasets from Ontario's Open Data portals. It allows asking questions of the data in English (or Spanish, Chinese, French, etc).

It currently supports the Ontario, Toronto, Ottawa, Waterloo, Kitchener, and Region of Waterloo portals, and utilizes a shared DuckDB cache for fast SQL queries, statistical analysis, and geospatial operations.

Contributing

Contributions welcome! To get started, see Installation below.

Found a bug? Have an idea? Discovered something interesting? Open an issue here: https://github.com/sprine/ontario-data-mcp/issues

Features

  • find - search across supported Ontario open data portals
  • download - retrieve and cache datasets
  • query - run SQL, statistical, and geospatial analysis via DuckDB
  • validate — verify that data claims are supported by query results
  • A shared DuckDB cache for high-performance analytics

Architecture

flowchart TD
    Client["AI Client<br/>(Claude Code · VS Code · etc.)"]

    subgraph Server["ontario-data-mcp (FastMCP)"]
        direction TB

        subgraph Tools["MCP Tools"]
            direction LR
            T1["Discovery"]
            T2["Metadata"]
            T3["Retrieval"]
            T4["Querying"]
            T5["Geospatial"]
            T6["Quality & Validation"]
        end

        PC["Portal Clients<br/>CKANClient · ArcGISHubClient"]
        Cache[("DuckDB Cache<br/>~/.cache/ontario-data/")]

        Tools -->|"fan out to all portals"| PC
        T3 & T5 -->|"download → store"| Cache
        T4 & T6 -->|"SQL queries"| Cache
    end

    subgraph Portals["Open Data Portals"]
        direction LR
        CKAN["Ontario · Toronto<br/>CKAN API"]
        ArcGIS["Ottawa · Waterloo · Kitchener<br/>Region of Waterloo<br/>ArcGIS Hub"]
    end

    Client <-->|"MCP Protocol"| Tools
    PC -->|"CKAN 2.8"| CKAN
    PC -->|"OGC Records / Hub v3"| ArcGIS

Data flow: Discovery and metadata tools fan out to all portals in parallel. Retrieval tools download data and store it in a local DuckDB cache. Querying and quality tools run fast SQL locally against the cache — no repeated API calls.

Installation

With Claude Code

claude mcp add ontario-data -- uvx ontario-data-mcp

To auto-approve all tool calls (no confirmation prompts), add to your Claude Code settings:

{
  "permissions": {
    "allow": ["mcp:ontario-data:*"]
  }
}

Tools are annotated as read-only or destructive per the MCP spec. Download tools populate the local cache but are read-only (no remote mutations). Destructive tools (cache_manage, refresh_cache) only modify local cached data.

Add to .vscode/mcp.json:

{
  "mcpServers": {
    "ontario-data": {
      "command": "uvx",
      "args": ["ontario-data-mcp"]
    }
  }
}
git clone https://github.com/sprine/ontario-data-mcp
cd ontario-data-mcp
uv sync
uv run ontario-data-mcp

To connect from source to Claude Code:

Note: MCP subprocesses don't inherit your shell's PATH, so you must use the absolute path to uv (find it with which uv).

claude mcp add ontario-data -- /absolute/path/to/uv run --directory /path/to/ontario-data-mcp ontario-data-mcp

Supported Portals

All searches fan out to every portal by default — no need to select a portal. Dataset and resource IDs are prefixed with their portal (e.g. toronto:abc123).

Portal Platform Datasets
ontario CKAN ~5,700
toronto CKAN ~533
ottawa ArcGIS Hub ~665
waterloo ArcGIS Hub ~129
kitchener ArcGIS Hub ~219
region-waterloo ArcGIS Hub ~125

List of tools available to the AI agent

Tool Description
search_datasets Search for datasets across all portals (or narrow with portal=)
list_portals List all available portals with platform type
list_organizations List government ministries with dataset counts
list_topics List all tags/topics in the catalogue
find_related_datasets Find datasets related by tags and organization
Tool Description
get_dataset_info Get full metadata for a dataset (use prefixed ID like toronto:abc123)
list_resources List all files in a dataset with formats and sizes
get_resource_schema Get column schema and sample values for a datastore resource
compare_datasets Compare metadata side-by-side for multiple datasets (cross-portal)
Tool Description
download_resource Download a resource and cache it in DuckDB (use prefixed ID like toronto:abc123)
cache_info Cache statistics + list all cached datasets with staleness
cache_manage Remove a single cached resource or clear the entire cache
refresh_cache Re-download cached resources with latest data
Tool Description
query_resource Query a resource via CKAN Datastore API (remote)
sql_query Run SQL against the CKAN Datastore (remote)
query_cached Run SQL against locally cached data in DuckDB
preview_data Quick preview of first N rows of a resource
Tool Description
check_freshness Check if a dataset is current vs. its update schedule
profile_data Statistical profile using DuckDB SUMMARIZE
validate_result Validate that a data claim is supported by query results
Tool Description
load_geodata Cache a geospatial resource (SHP, KML, GeoJSON) into DuckDB
spatial_query Run spatial queries against cached geospatial data
list_geo_datasets Find datasets containing geospatial resources

MCP Resources

Resources the agent can read for context without calling a tool:

URI Description
ontario://cache/index List of all locally cached datasets with freshness info
ontario://dataset/{dataset_id} Full metadata for a specific dataset (supports prefixed IDs)
ontario://portal/stats Overview statistics across all data portals
ontario://schema/{table_name} Column schema, types, sample values, and type warnings for a cached table
ontario://guides/duckdb-sql DuckDB SQL reference for Ontario open data analysis

Prompts

Context-aware guided workflow prompts:

  • explore_topic — Guided exploration of a topic (fetches live catalogue context)
  • data_investigation — Deep dive into a specific dataset: schema, quality, statistics
  • compare_data — Side-by-side analysis of multiple datasets

Environment Variables

Variable Default Purpose
ONTARIO_DATA_CACHE_DIR ~/.cache/ontario-data DuckDB storage + log file location
ONTARIO_DATA_TIMEOUT 30 HTTP timeout in seconds
ONTARIO_DATA_RATE_LIMIT 10 Max CKAN requests per second

Development

uv sync
uv run python -m pytest tests/ -v

License

MIT — see LICENSE for the software.

Data accessed through this tool is provided under the following open government licences:

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Ontario Data MCP

How do I install Ontario Data MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Ontario Data MCP safe to use with an AI agent?

Its trust score is 55 out of 100 (fair). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Ontario Data MCP still maintained?

Yes — the last commit was 10 days ago. The repository has 1 stars and 0 forks.