Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Search Artsdata for authoritative data on Canadian events, artists, organizations, and places.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://mcp.artsdata.ca/mcpRun this in your terminal
claude mcp add --transport http artsdata https://mcp.artsdata.ca/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"artsdata": {
"url": "https://mcp.artsdata.ca/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"artsdata": {
"type": "http",
"url": "https://mcp.artsdata.ca/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.artsdata.ca/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain artsdata.ca (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
4.0.68.1bundle install
POST /mcp: MCP Streamable HTTP endpoint (tools and resources are documented in docs/mcp-server.md)GET /up: health checkGET /llms.txt: machine-readable guide for agentsCalls to /mcp are reported to Google Analytics 4.
artsdata://dumps/core-minus-provenance/latest (artsdata_dump): manifest for the latest Artsdata core-minus-provenance dump — the core graph with provenance and RDF-star annotations removed, published monthly as a gzipped Turtle file.resources/read asks the Artsdata Databus for the newest version of the artifact (GET /databus/artifact/latest?artifact= ) and returns a small JSON document with the download URL, version, format and compression — never the dump contents. Going through the Databus means MCP clients need to know nothing about where the file is actually stored. Clients download the file from downloadUrl and compare version across reads to detect when a new dump lands.
.github/
workflows/ deploy-to-heroku.yml # Workflow deploying to Heroku run-unit-tests.yml # Reusable workflow running Minitest unit-test-on-pull-request.yml # Workflow running unit tests on pull requests app/ resource/ # MCP resources schema/ # JSON schemas of the tools' input and output services/ # Clients for the reconciliation service, SPARQL endpoint and Databus tool/ # MCP tools config/ initializers/mcp_server.rb # MCP server: registered tools, resources and transport initializers/mcp_analytics.rb # Google Analytics 4 reporting configuration routes.rb lib/ mcp_analytics/ # Rack middleware reporting MCP usage to Google Analytics 4 test/
ARTSDATA_RECONCILIATION_ENDPOINT: reconciliation service URL used by the search_entities, get_entity and search_events tools.ARTSDATA_SCHEMA_URL (optional): Turtle file compiled by the get_schema tool (default https://docs.artsdata.ca/artsdata-schema.ttl).ARTSDATA_SCHEMA_CACHE_TTL_SECONDS (optional): how long the compiled schema is cached in process (default 86400).ARTSDATA_CORS_ORIGINS (optional): comma-separated CORS origins (default *).ARTSDATA_API_ENDPOINT (optional): base URL of the Artsdata API, used to query the Databus for the latest data dump (default https://api.artsdata.ca).ARTSDATA_SPARQL_ENDPOINT (optional): SPARQL endpoint queried by the sparql_query tool (default https://query.artsdata.ca/query).ARTSDATA_SPARQL_TIMEOUT_SECONDS (optional): read timeout for a sparql_query call (default 25).ARTSDATA_SPARQL_MAX_ROWS (optional): maximum rows sparql_query returns; extra rows are cut and the result is flagged truncated (default 1000).env/production.envenv/staging.envARTSDATA_INSTANCE_TYPE (optional): PRODUCTION (default) or STAGING. The Docker entrypoint loads the matching file from env/.Calls to /mcp are reported to Google Analytics 4, including the tool used, how long the call took, and the caller's User-Agent. Reporting stays off until both variables below are set, so development and CI need no configuration.
GA4_MEASUREMENT_ID: the GA4 property's G-XXXXXXXXXX id. Not a secret; defaulted for production in config/environments/production.rb.GA4_API_SECRET: Measurement Protocol secret. **Secret — set it as a Heroku. config var, never in env/*.env, which is committed.**GA4_DEBUG (optional): tag events so they appear in GA4's DebugView within seconds, and log whether GA4 considers each payload valid. Events are still recorded. Useful because the normal endpoint answers 204 whether or not the payload is valid.Reporting is on when both credentials are present and off otherwise.
Separately, every MCP call is written to stdout as one JSON line, including the complete arguments the agent sent — the full SPARQL query, search terms, entity URIs. On Heroku these lines go to heroku logs and to any drain you attach.
MCP_REQUEST_LOG (optional): set to false to silence the request log. It runs independently of Google Analytics and works with no GA4 credentials set.For sparql_query calls, two extra facts are reported: sparql_form (SELECT, ASK or UNKNOWN) and sparql_where, the WHERE clause as the agent wrote it with the PREFIX block removed and whitespace collapsed. Both go to Google Analytics and to the request log; GA4 cuts the WHERE clause at its 100-character limit, the log keeps it whole.
bundle exec rails server
The API will be available at http://localhost:3000.
Build the image:
docker build -t artsdata-mcp-server .
Run the server:
docker run --rm -p 3000:3000 artsdata-mcp-server
Run with staging profile:
docker run --rm -p 3000:3000 -e ARTSDATA_INSTANCE_TYPE=STAGING artsdata-mcp-server
Run tests in Docker:
docker run --rm artsdata-mcp-server bundle exec rails test
Run a single test file:
bundle exec rails test test/tool/search_events_test.rb
Run all tests:
bundle exec rails test
The public/llms.txt file is generated from MCP server metadata (tools, resources, descriptions, and schemas).
CI behavior:
Developer workflow:
bundle exec rake docs:generate_llms
bundle exec rake docs:check_llms
This project uses GitHub Actions for continuous integration and automated deployment to Heroku. Every push to the main branch triggers a workflow that builds and deploys the application to Heroku. The workflow is defined in .github/workflows/deploy-to-heroku.yml.
Every pull request triggers a workflow that unit tests. The workflow is defined in .github/workflows/run-unit-tests.yml.
The Artsdata MCP Server is actively deployed and hosted in a live production environment.
Live Production Endpoints