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Nyc Parks

R0· no sign-in

NYC Parks Events MCP.

v0.1.2 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality–not scored
Trust95of 100
Uptime, 30 days97%
Latency p5027 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "nyc-parks": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/nyc-parks/mcp"
    }
  }
}
claude mcp add --transport http nyc-parks https://gateway.pipeworx.io/nyc-parks/mcp
[mcp_servers.nyc-parks]
url = "https://gateway.pipeworx.io/nyc-parks/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "nyc-parks": {
      "type": "remote",
      "url": "https://gateway.pipeworx.io/nyc-parks/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "nyc-parks": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/nyc-parks/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=nyc-parks&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZ2F0ZXdheS5waXBld29yeC5pby9ueWMtcGFya3MvbWNwIn0%3D"
}
{
  "servers": {
    "nyc-parks": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/nyc-parks/mcp"
    }
  }
}
{
  "mcpServers": {
    "nyc-parks": {
      "httpUrl": "https://gateway.pipeworx.io/nyc-parks/mcp"
    }
  }
}
extensions:
  "nyc-parks":
    enabled: true
    name: "nyc-parks"
    type: streamable_http
    uri: "https://gateway.pipeworx.io/nyc-parks/mcp"
    timeout: 300

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-03-26; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pulltool list unknown
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · tools last changed 2026-09-24 · checked 2026-10-19 10:52 UTC

Tool changes

  • categoriesremoved

    List the categories used across NYC Parks events (with counts) — filterable facets like "Best for Kids", "Sports", "Nature Exploration", "Fitness".

  • eventsremoved

    Upcoming NYC Parks events (next ~14 days): free/low-cost outdoor, fitness, nature, kids and recreation-center programming. Filter by date window, category (e.g. "Best for Kids", "Sports", "Nature", "Fitness"), and keyword (title/park/location/description).

  • forgetremoved

    Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  • recallremoved

    Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

  • rememberremoved

    Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

  • scan_competitor_ai_presenceremoved

    Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.

  • ai_visibility_checkremoved

    Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

  • generate_llms_txtremoved

    Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

  • suggest_questionsremoved

    What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

  • pipeworx_trendingremoved

    What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 95 / 100

provenance85
liveness99
freshness100
hygiene100

+repository +namespace-matches-repo +website -thin-description +reachable +uptime-97% +updated-23d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://gateway.pipeworx.io/nyc-parks/mcp streamable-httpnoneyes97%27 ms2025-03-262026-10-19

Tools (0)

No tools observed. Tools appear once a credential-free probe can list them.

Schemas: list_tools.

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Official server.json
{
  "name": "io.github.pipeworx-io/nyc-parks",
  "title": "Nyc Parks",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://gateway.pipeworx.io/nyc-parks/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.2",
  "repository": {
    "url": "https://github.com/pipeworx-io/mcp-nyc-parks",
    "source": "github"
  },
  "websiteUrl": "https://pipeworx.io/packs/nyc-parks",
  "description": "NYC Parks Events MCP."
}