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PopNx MCPMCP servers for people who use AI · explained in plain words

Artsdata

by culturecreatesversion 1.0.0i★ –iRuns in the cloud
Registry nameca.artsdata/mcp

Install

Overview

Description from the maker (original English)

Search Artsdata for authoritative data on Canadian events, artists, organizations, and places.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

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:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.artsdata.ca/mcp

Run this in your terminal

claude mcp add --transport http artsdata https://mcp.artsdata.ca/mcp

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.artsdata.ca/mcp

Menu 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.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain artsdata.ca (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7243 servers in this category
  • Published to the registry more recently than 35% of the other 7243 servers in this category
  • Basic checks equal to or better than 100% of the other 7243 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Artsdata safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 months ago.

Which apps can use it?

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.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

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.

Artsdata MCP Server (Rails)

Prerequisites

  • Ruby 4.0.6
  • Rails 8.1
  • Bundler

Setup

bundle install

Endpoints

  • POST /mcp: MCP Streamable HTTP endpoint (tools and resources are documented in docs/mcp-server.md)
  • GET /up: health check
  • GET /llms.txt: machine-readable guide for agents

Calls to /mcp are reported to Google Analytics 4.

MCP resources

  • 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.

Directory structure

.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/

Configuration

  • 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).
  • Docker instance profiles are provided in:
  • env/production.env
  • env/staging.env
  • ARTSDATA_INSTANCE_TYPE (optional): PRODUCTION (default) or STAGING. The Docker entrypoint loads the matching file from env/.
Usage analytics

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.

Run the application

bundle exec rails server

The API will be available at http://localhost:3000.

Docker

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 tests

Run a single test file:

bundle exec rails test test/tool/search_events_test.rb

Run all tests:

bundle exec rails test

llms.txt maintenance

The public/llms.txt file is generated from MCP server metadata (tools, resources, descriptions, and schemas).

CI behavior:

  • Pull request CI runs bundle exec rake docs:check_llms.
  • If public/llms.txt is stale, the workflow fails.

Developer workflow:

  • Most of the time, no manual action is needed.
  • If you change MCP tools, resources, or schemas, regenerate the file with:
bundle exec rake docs:generate_llms
  • Confirm it is in sync with:
bundle exec rake docs:check_llms
  • Commit the updated public/llms.txt.

Deployment & CI/CD Details:

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.

Server Access & API Documentation

The Artsdata MCP Server is actively deployed and hosted in a live production environment.

Live Production Endpoints

  • MCP endpoint: https://mcp.artsdata.ca/mcp
  • Agent guide: https://mcp.artsdata.ca/llms.txt
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