ca.artsdata由 artsdata.ca 发布官方发布者v1.0.0更新于 Oct 24, 2026
Search Artsdata for authoritative data on Canadian events, artists, organizations, and places.
面向 Artsdata 知识图谱的远程 MCP 服务器，让助手检索加拿大活动、艺术家、机构和地点，并执行只读 SPARQL 查询。
Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/ca.artsdata%2Fmcp/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"artsdata": {
"type": "http",
"url": "https://mcp.artsdata.ca/mcp"
}
}
}4.0.68.1POST /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=<ARTIFACT_URI>) 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.
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.
The API will be available at http://localhost:3000.
Build the image:
Run the server:
Run with staging profile:
Run tests in Docker:
Run a single test file:
Run all tests:
The public/llms.txt file is generated from MCP server metadata (tools, resources, descriptions, and schemas).
CI behavior:
Developer workflow:
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
来源：README.md，提交 2ed7f52
Tool to search for entities in the Artsdata knowledge graph by name, with optional filters on entity type and on the controlled vocabulary (skos:ConceptScheme) a concept belongs to. Each result has a markdown-link `label` like '[Name (K12-345)](https://kg.artsdata.ca/resource/K12-345)': use it verbatim when mentioning the entity.
limitquery必填typeslanguagein_schemeTool to get entities details from Artsdata Knowledge Graph by entity URI. Entity URIs end in the Artsdata ID (K\d+-\d+, e.g. K12-345); cite it with the entity name. The result's `sources` lists the datasets the entity was built from: name them when you answer about the entity, linking `url` when present, else by `name`.
uri必填Tool to search for events in the Artsdata knowledge graph by place, artist, organization, has_event_type_concept and language. Places, artists and organizations are Artsdata entity URIs; the has_event_type_concept filter takes concept URIs from the Artsdata Event Types vocabulary (adr:ArtsdataEventTypes), not schema.org classes. Resolve any name or label to its URI with search_entities first. Places must be venues; for events in a city or region, use sparql_query (see the places parameter). At least one filter is required. Entity URIs end in the Artsdata ID (K\d+-\d+, e.g. K12-345); cite it with the entity name.
limitplacesartistslanguagestartDateToorganizationsstartDateFromhas_event_type_conceptReturns the data model of the Artsdata Knowledge Graph: its entity classes (Event, Place, Organization, Person, LivePerformanceWork...), the properties of each with required/optional, cardinality, value types, linked classes and allowed values, the controlled vocabularies, the SPARQL prefixes, and conventions for querying. Derived from the Artsdata Ontology and the Artsdata CORE graph SHACL shapes. Call this before writing a SPARQL query to run with sparql_query against https://query.artsdata.ca/query, since Artsdata's model is not general knowledge. Takes no input.
无需输入参数。
Runs a read-only SPARQL 1.1 SELECT or ASK query against the Artsdata Knowledge Graph (https://query.artsdata.ca/query) and returns the result as SPARQL 1.1 Query Results JSON, exactly as the endpoint returns it: head.vars and results.bindings for SELECT, boolean for ASK. Call get_schema first and build the query from the classes, properties, prefixes and conventions it returns, since Artsdata's model is not general knowledge. Declare every PREFIX you use and always add a LIMIT: at most 1000 rows are returned (the rest is cut and truncated is true; page with OFFSET), and a query gets 25 seconds. If the endpoint rejects the query, its error message is returned so you can fix the query and retry. For the details of an entity URI in the results use get_entity; to find an entity's URI from its name use search_entities. Always SELECT the entity URI next to its label so its Artsdata ID can be cited. Entity URIs end in the Artsdata ID (K\d+-\d+, e.g. K12-345); cite it with the entity name. To find who claims a property value, see the sources guidance in the get_schema conventions.
query必填已满足适用检查项的 90%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
请在仓库或注册中心条目中声明许可证。
bundle install.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 requestsapp/ resource/ # MCP resources schema/ # JSON schemas of the tools' input and output services/ # Clients for the reconciliation service, SPARQL endpoint and Databus tool/ # MCP toolsconfig/ initializers/mcp_server.rb # MCP server: registered tools, resources and transport initializers/mcp_analytics.rb # Google Analytics 4 reporting configuration routes.rblib/ mcp_analytics/ # Rack middleware reporting MCP usage to Google Analytics 4test/bundle exec rails serverdocker build -t artsdata-mcp-server .docker run --rm -p 3000:3000 artsdata-mcp-serverdocker run --rm -p 3000:3000 -e ARTSDATA_INSTANCE_TYPE=STAGING artsdata-mcp-serverdocker run --rm artsdata-mcp-server bundle exec rails testbundle exec rails test test/tool/search_events_test.rbbundle exec rails testbundle exec rake docs:generate_llmsbundle exec rake docs:check_llms