mcp-registry/io.github.snehdhruv/trillboards-dooh · v1.0.0
As of 2026-10-20 11:01 UTC, the Snehdhruv Trillboards Dooh MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 24 outages in 90 days, with a median recovery of 6 minutes.
DOOH advertising via AI agents. 5,000+ screens with edge AI audience intelligence.
Claude Code
claude mcp add --transport http snehdhruv-trillboards-dooh-mcp-server https://api.trillboards.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"snehdhruv-trillboards-dooh-mcp-server": {
"type": "http",
"url": "https://api.trillboards.com/mcp"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
93 tools on one server. Tool-selection accuracy drops as the menu grows, and some clients (e.g. Cursor) cap the number of active tools.
Group tools by task into smaller servers or toolsets, and merge near-duplicates behind one tool with a mode parameter. How to fix →
63 parameter(s) across 16 tool(s) have no description.
Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →
9 tool(s) look like they change state (create/send/delete/pay…) but declare no destructiveHint.
Set annotations {"readOnlyHint": false, "destructiveHint": true|false, "idempotentHint": …}. Clients use these to ask the user before a side effect and to auto-approve safe reads. How to fix →
1 tool(s) have parameters with no type (no type/enum/anyOf/$ref).
Give every parameter a "type" (or "enum"/"anyOf"). Untyped parameters make models guess — strings for numbers, objects for arrays. How to fix →
Loading this server's tool list costs an agent ~34,880 tokens before any work — more than 99% of MCP servers.
Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request. How to fix →
Handshake + tools/list takes ~1,605 ms.
Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →
83 of 93 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
2 tools share an identical description with another tool on this server.
Make each description say how the tool differs from its siblings, or the model will pick between them at random. How to fix →
In the last 30 days: 0 tool(s) removed and 3 schema change(s).
Add new tools or optional parameters instead of renaming or removing; deprecate first (say so in the description) and remove later. Agents cache tool contracts. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 16 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.snehdhruv%2Ftrillboards-dooh/fixes
{
"name": "create_campaign",
"description": "Create a new advertising campaign targeting DOOH screens.\n\nWHEN TO USE:\n- Setting up a new ad campaign on available screens\n- Targeting specific venues, locations, or audience profiles\n- Allocating budget for programmatic DOOH buys\n\nRETURNS:\n- campaign_id: Unique campaign identifier (UUID)\n- name, status, budget, screen_count, dates\n\nCampaign starts in \"draft\" status. Use update_campaign to set status to \"active\".\n\nEXAMPLE:\nUser: \"Create a campaign targeting retail screens in NYC at $5 CPM\"\ncrea",
"inputSchema": {
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"name"
],
"properties": {
"name": {
"type": "string",
"maxLength": 200,
"minLength": 1,
"description": "Campaign name"
},
"end_date": {
"type": "string",
"description": "Campaign end date (ISO 8601)"
},
"targeting": {
"type": "object",
"properties": {
"geo": {
"type": "object",
"properties": {
"lat": {
"type": "number",
"maximum": 90,
"minimum": -90
},
"lng": {
"type": "number",
"maximum": 180,
"minimum": -180
},
"city": {
"type": "string",
"maxLength": 100
},
"state": {
"type": "string",
"maxLength": 100
},
"country": {
"type": "string",
"maxLength": 100
},
"radius_km": {
"type": "number",
"maximum": 500,
"exclusiveMinimum": 0
}
},
"additionalProperties": false
},
"schedule": {
"type": "object",
"properties": {
"days": {
"type": "array",
"items": {
"type": "integer",
"maximum": 6,
"minimum": 0
},
"description": "0=Sun..6=Sat"
},
"hours": {
"type": "array",
"items": {
"type": "integer",
"maximum": 23,
"minimum": 0
},
"description": "0-23"
}
},
"additionalProperties": false
},
"audience_profile": {
"type": "object",
"properties": {
"income": {
"type": "string"
},
"lifestyle": {
"type": "string"
},
"min_attention": {
"type": "number",
"maximum": 1,
"minimum": 0
}
},
"additionalProperties": false
}
},
"description": "Additional targeting criteria",
"additionalProperties": false
},
"budget_cpm": {
"type": "number",
"maximum": 1000,
"description": "Bid CPM in USD (default: 4.0)",
"exclusiveMinimum": 0
},
"screen_ids": {
"type": "array",
"items": {
"type": "string",
"maxLength": 50,
"minLength": 1
},
"maxItems": 500,
"description": "Specific screen IDs to target (optional, overrides venue/geo targeting)"
},
"start_date": {
"type": "string",
"description": "Campaign start date (ISO 8601)"
},
"venue_types": {
"type": "array",
"items": {
"type": "string",
"maxLength": 50
},
"maxItems": 20,
"description": "Venue types to target: transit, retail, outdoor, office, etc."
},
"creative_url": {
"type": "string",
"format": "uri",
"description": "URL to video/image creative asset"
},
"creative_type": {
"enum": [
"video",
"image",
"vast"
],
"type": "string",
"description": "Creative format"
},
"daily_budget_usd": {
"type": "number",
"maximum": 100000,
"minimum": 0,
"description": "Daily budget cap in USD"
},
"total_budget_usd": {
"type": "number",
"maximum": 10000000,
"minimum": 0,
"description": "Total campaign budget in USD"
},
"creative_duration": {
"type": "integer",
"maximum": 120,
"minimum": 1,
"description": "Duration in seconds (default: 15)"
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": false,
"destructiveHint": false,
"idempotentHint": false
}
}{
"name": "create_experiment",
"description": "Create an incrementality experiment for a campaign.\n\nSets up a geo-holdout, ghost ads, or propensity score matching experiment\nto causally measure DOOH advertising lift.\n\nWHEN TO USE:\n- Setting up a new A/B test before or during a campaign\n- Defining treatment and control DMAs for geo-holdout tests\n- Configuring experiment parameters (holdout %, MDE, power)\n\nRETURNS:\nThe created experiment object with experiment_id, status, and all parameters.\n\nEXAMPLE:\ncreate_experiment({\n campaign_id: \"camp_a",
"inputSchema": {
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"campaign_id",
"experiment_type"
],
"properties": {
"target_mde": {
"type": "number",
"maximum": 1,
"minimum": 0.01,
"description": "Minimum detectable effect (relative, e.g. 0.10 = 10% lift). Default: 0.10"
},
"campaign_id": {
"type": "string",
"maxLength": 128,
"minLength": 1,
"description": "Campaign identifier"
},
"holdout_pct": {
"type": "number",
"maximum": 0.5,
"minimum": 0.05,
"description": "Fraction of devices to hold out (0.05-0.50). Default: 0.10"
},
"control_dmas": {
"type": "array",
"items": {
"type": "string",
"maxLength": 20
},
"maxItems": 200,
"description": "DMA codes for control group (no ads)"
},
"target_alpha": {
"type": "number",
"maximum": 0.1,
"minimum": 0.001,
"description": "Significance level (0.05 or 0.01). Default: 0.05"
},
"target_power": {
"type": "number",
"maximum": 0.99,
"minimum": 0.5,
"description": "Statistical power (0.80 or 0.90). Default: 0.80"
},
"treatment_dmas": {
"type": "array",
"items": {
"type": "string",
"maxLength": 20
},
"maxItems": 200,
"description": "DMA codes for treatment group (get ads)"
},
"experiment_type": {
"enum": [
"geo_holdout",
"ghost_ads",
"psm"
],
"type": "string",
"description": "Experiment type: geo_holdout (matched DMAs), ghost_ads (PSA control), psm (propensity score matching)"
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": false,
"destructiveHint": false,
"idempotentHint": false
}
}{
"name": "create_media_buy",
"description": "[AdCP Media Buy] Create a media buy (campaign) from an AdCP buy specification.\n\nCreates a campaign that targets DOOH screens based on the provided specification.\nReturns a media_buy_id for tracking and a creative_deadline for asset submission.\n\nWHEN TO USE:\n- Executing a programmatic DOOH buy via an AI agent\n- Creating campaigns from DSP trading desk agents\n- Automated media buying workflows\n\nRETURNS:\n- media_buy_id: Unique identifier for this media buy\n- campaign_id: Internal campaign identifie",
"inputSchema": {
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"name": {
"type": "string",
"maxLength": 200,
"minLength": 1,
"description": "Media buy name"
},
"brand": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"domain": {
"type": "string"
}
},
"description": "Brand reference",
"additionalProperties": true
},
"context": {
"type": "object",
"additionalProperties": {}
},
"buy_spec": {
"type": "object",
"properties": {
"geo": {
"type": "object",
"properties": {
"lat": {
"type": "number"
},
"lng": {
"type": "number"
},
"city": {
"type": "string"
},
"state": {
"type": "string"
},
"country": {
"type": "string"
},
"radius_km": {
"type": "number"
}
},
"additionalProperties": false
},
"budget": {
"type": "object",
"properties": {
"bid_cpm": {
"type": "number"
},
"daily_usd": {
"type": "number"
},
"total_usd": {
"type": "number"
}
},
"additionalProperties": false
},
"schedule": {
"type": "object",
"properties": {
"days": {
"type": "array",
"items": {
"type": "number"
}
},
"hours": {
"type": "array",
"items": {
"type": "number"
}
},
"end_date": {
"type": "string"
},
"start_date": {
"type": "string"
}
},
"additionalProperties": false
},
"screen_ids": {
"type": "array",
"items": {
"type": "string"
}
},
"venue_types": {
"type": "array",
"items": {
"type": "string"
}
},
"audience_profile": {
"type": "object",
"additionalProperties": {}
}
},
"description": "Buy specification (legacy)",
"additionalProperties": false
},
"creative": {
"type": "object",
"properties": {
"url": {
"type": "string"
},
"type": {
"enum": [
"video",
"image",
"vast"
],
"type": "string"
},
"duration_seconds": {
"type": "number"
}
},
"additionalProperties": false
},
"end_time": {
"type": "string",
"description": "ISO 8601 end time"
},
"packages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"budget": {
"anyOf": [
{
"type": "number",
"minimum": 0
},
{
"type": "object",
"properties": {
"amount": {
"type": "number"
},
"currency": {
"type": "string"
}
},
"additionalProperties": true
}
]
},
"bid_price": {
"type": "number",
"minimum": 0
},
"product_id": {
"type": "string"
},
"impressions": {
"type": "number",
"minimum": 0
},
"pricing_option_id": {
"type": "string"
},
"targeting_overlay": {
"type": "object",
"additionalProperties": {}
}
},
"additionalProperties": true
},
"description": "AdCP product packages to buy"
},
"buyer_ref": {
"type": "string",
"maxLength": 200,
"description": "External reference ID from the buyer/agency"
},
"start_time": {
"type": "string",
"description": "ISO 8601 start time"
},
"total_budget": {
"type": "object",
"properties": {
"amount": {
"type": "number"
},
"currency": {
"type": "string"
}
},
"additionalProperties": true
},
"idempotency_key": {
"type": "string",
"maxLength": 200
}
},
"additionalProperties": true
},
"annotations": {
"readOnlyHint": false,
"destructiveHint": false,
"idempotentHint": false
}
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.snehdhruv/trillboards-dooh"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.snehdhruv/trillboards-dooh"}) over MCP.
configure_feedback_brand ~1,020 tokenscreate_media_buy ~841 tokenssync_creatives ~813 tokenssync_accounts ~808 tokenscreate_campaign ~806 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fio.github.snehdhruv%2Ftrillboards-dooh?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.snehdhruv%2Ftrillboards-dooh?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.snehdhruv%2Ftrillboards-dooh.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.snehdhruv%2Ftrillboards-dooh.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.snehdhruv%2Ftrillboards-dooh?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:e72f490d00b08a79…, first seen 2026-10-19, included at leaf 29208 of 32,514. Version history · verify what your client received.
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Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-20 11:01 UTC, the Snehdhruv Trillboards Dooh MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 24 outages in 90 days, with a median recovery of 6 minutes.
Snehdhruv Trillboards Dooh MCP server advertises 93 tools, including activate_signal, anomaly_detect, batch_impressions, configure_feedback_brand, configure_sensing.
Point your MCP client at this streamable-http endpoint: https://api.trillboards.com/mcp
Glimind scanned all 93 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.