# Adaga solutions — Data APIs Toolbox (remote · adagasolutions.lu)

12 pay-per-event data APIs: Maps, TikTok, Instagram, YouTube, LinkedIn, RAG, reviews, fuel, AEO.

- Trust score: 63/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-17

## Components

- remote · `adagasolutions.lu`: 63/100 (this document), [markdown](https://verifymcp.io/servers/jeffreyturov-dev-adaga-solutions-toolbox/adagasolutions.md), [page](https://verifymcp.io/servers/jeffreyturov-dev-adaga-solutions-toolbox/adagasolutions)

## Channel facts

- Endpoint: `https://adagasolutions.lu/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-17.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 13 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 63/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 2718 tokens (~209/item across 13 items; 13 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 17/100
  - Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### How do I install the Adaga solutions — Data APIs Toolbox MCP server?

Adaga solutions — Data APIs Toolbox is a hosted endpoint at https://adagasolutions.lu/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http jeffreyturov-dev-adaga-solutions-toolbox 'https://adagasolutions.lu/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "jeffreyturov-dev-adaga-solutions-toolbox": {
      "url": "https://adagasolutions.lu/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "jeffreyturov-dev-adaga-solutions-toolbox": {
      "type": "http",
      "url": "https://adagasolutions.lu/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.jeffreyturov-dev-adaga-solutions-toolbox]
url = "https://adagasolutions.lu/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "jeffreyturov-dev-adaga-solutions-toolbox": {
      "type": "remote",
      "url": "https://adagasolutions.lu/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add jeffreyturov-dev-adaga-solutions-toolbox --url 'https://adagasolutions.lu/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  jeffreyturov-dev-adaga-solutions-toolbox:
    url: "https://adagasolutions.lu/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "jeffreyturov-dev-adaga-solutions-toolbox": {
      "Transport": "http",
      "Url": "https://adagasolutions.lu/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add jeffreyturov-dev-adaga-solutions-toolbox -t streamable-http -u 'https://adagasolutions.lu/mcp'
```

### Other

```json
{
  "mcpServers": {
    "jeffreyturov-dev-adaga-solutions-toolbox": {
      "type": "http",
      "url": "https://adagasolutions.lu/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-17 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-14 (score 62, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 61, 0)

- [security] The server rewrote its instructions, which are the text every model session reads
- [functional regression] Schema quality: 2303 → 2718
- [functional improvement] Stability: unverified → 0.03
- [functional] Server version: 1.0.0 → 1.1.0
- [functional] New tool “local_presence_audit”

### 2026-10-12 (score 61)

First indexed and scored.

## MCP tools (13)

### `local_presence_audit` (~416 tokens)

Audit any local business's online presence in one run: Google Business Profile data (rating, review count, category, contact), recent reviews with urgency classification and owner-response detection, website AI-readiness scan (llms.txt, JSON-LD, robots.txt AI-crawler rules), a transparent presence score /100, and ready-to-use deliverables (publishable llms.txt, LocalBusiness JSON-LD, AI-drafted review responses, prioritized action plan). Use when you need to audit a local business before selling it marketing services, or to check whether ChatGPT, Perplexity and Gemini can 'see' a business. Pricing: $1.00 per run + $0.50 per business audited.

Input parameters:

- `dryRun` (boolean): When true, the actor runs fully but skips all pay-per-event charges. Use it for testing and integration QA.
- `language` (string): Google Maps interface language code (fr, en, de...). Affects localized labels parsing.
- `maxReviews` (integer): Number of most recent Google reviews to scrape and classify (urgency detection, owner-response check). Between 1 and 30.
- `proxyConfiguration` (object): Apify proxy settings. Residential proxies are strongly recommended — Google Maps blocks datacenter IPs. Defaults to RESIDENTIAL.
- `query` (string): Business name + city used to find its Google Maps profile (e.g. 'Boulangerie Paul Mersch' or 'restaurant Esch-sur-Alzette'). The first, most relevant place is audited. Optional if websiteUrl alone is…
- `websiteUrl` (string): Full URL of the business website (e.g. https://example.lu). Scanned without a browser for AI-readiness: JSON-LD structured data, LocalBusiness schema, meta description, H1, Open Graph, /llms.txt, and…

### `google_maps_scraper` (~228 tokens)

Extract local business data from Google Maps with this scraper: names, addresses, phones, ratings, review counts, websites, GPS coordinates. Use when you need lead lists, competitor analysis or market research for any city or search query. Returns an array of business objects. Pricing: $1.00 per run + $0.03 per business scraped.

Input parameters:

- `includeReviews` (boolean): Whether to extract user reviews for each business
- `language` (string): Language code for Google Maps results (e.g., 'fr', 'en', 'de', 'es')
- `maxResults` (integer): Maximum number of businesses to extract per query
- `maxReviews` (integer): Maximum number of reviews to extract per business
- `proxyConfiguration` (object): Proxy settings. Residential proxies are recommended for Google Maps.
- `queries` (array): Array of search queries to scrape. Use this for multiple searches in one run.
- `searchQuery` (string): What to search on Google Maps (e.g., 'restaurants Paris', 'plumbers London', 'hotels New York')

### `tiktok_scraper` (~138 tokens)

Scrape TikTok profiles and videos: follower counts, likes, video metadata and stats. Use when researching influencers, tracking social engagement or analyzing TikTok content. Returns profile and video objects. Pricing: $0.01 per profile + $0.002 per video.

Input parameters:

- `hashtags` (array): List of hashtags to scrape trending videos from (without #)
- `maxVideosPerProfile` (integer): Maximum number of videos to extract per profile
- `profiles` (array, required): List of TikTok usernames or profile URLs to scrape (e.g., ['mrbeast', 'https://www.tiktok.com/@charlidamelio'])

### `instagram_scraper` (~82 tokens)

Scrape Instagram profiles and hashtag posts: followers, posts, engagement metrics. Use when vetting influencers, monitoring brands or tracking competitors on Instagram. Returns profile objects with recent posts. Pricing: $0.01 per profile scraped.

Input parameters:

- `profiles` (array, required): List of Instagram usernames to scrape (without @). Example: ["nasa", "cristiano"]

### `youtube_scraper` (~157 tokens)

Scrape YouTube videos and channels: views, subscribers, metadata, descriptions. Use when researching content trends, analyzing creators or building YouTube datasets. Returns video and channel objects. Pricing: $0.002 per video scraped.

Input parameters:

- `channelUrls` (array): YouTube channel URLs to scrape. Supports @handle, /channel/, and /c/ formats.
- `maxResults` (integer): Maximum number of results per search query (1-50)
- `searchQueries` (array): Search YouTube for videos matching these queries. Returns top results with full video data.
- `videoUrls` (array): YouTube video URLs or IDs to scrape. Supports youtube.com/watch, youtu.be, and /shorts/ formats.

### `linkedin_profile_scraper` (~119 tokens)

Extract public LinkedIn profile data with this scraper: name, headline, experience, company. Use when enriching B2B leads or doing recruiting research on LinkedIn. Returns structured profile objects. Pricing: $0.02 per profile scraped.

Input parameters:

- `includeExperience` (boolean): Whether to extract work experience details
- `includeSkills` (boolean): Whether to extract the skills section
- `profileUrls` (array, required): List of LinkedIn profile URLs to scrape (e.g., ['https://www.linkedin.com/in/williamhgates/'])

### `rag_web_browser` (~182 tokens)

Fetch web pages and convert them into clean LLM-ready text for RAG pipelines. Use when an agent needs readable page content from the web without HTML noise — a lightweight browser alternative for retrieval. Returns per-page cleaned text with metadata. Pricing: $0.003 per page crawled.

Input parameters:

- `lang` (string): Language code for search results (e.g. en, fr, de)
- `maxResults` (integer): Maximum number of search results / pages to process
- `outputFormat` (string): Content format: markdown (best for LLM/RAG) or plain text
- `query` (string): Google search query. Top results are fetched and extracted. Example: 'best crm software 2026'
- `urls` (array): Direct page URLs to extract content from (instead of searching). Example: ["https://example.com/article"]

### `api_breaking_change_radar` (~243 tokens)

Monitor public APIs and detect breaking changes by diffing OpenAPI specs and classifying changelogs — a radar for the APIs you depend on. Use when you need early warning before an API change breaks your integration. Returns change events classified by severity. Pricing: $0.50 per run + $0.005 per API checked.

Input parameters:

- `apis` (array, required): List of APIs to watch. For type 'openapi', url must point to a raw OpenAPI spec (JSON or YAML). For type 'github-releases', url must be 'owner/repo' or a GitHub repo URL. For type 'rss', url must be…
- `dryRun` (boolean): When true, the actor performs the full detection but does NOT charge any pay-per-event fee. Use for testing your configuration.
- `maxApis` (integer): Safety cap on the number of APIs processed in one run.
- `webhookUrl` (string): POST endpoint called at the end of each run with a JSON summary (counts by class + top critical changes). Slack/Discord/Teams incoming-webhook compatible payload is included.

### `review_radar` (~271 tokens)

Monitor Google Maps reviews and detect only NEW ones, with Bayesian urgency classification and optional Slack alerts — your reputation radar. Use when tracking review activity for local businesses. Returns review objects flagged isNew with urgency scores. Pricing: $0.25 per run + $0.01 per new review.

Input parameters:

- `alertThreshold` (integer): New reviews with this rating or lower trigger a Slack alert
- `dryRun` (boolean): Testing mode: skips Slack alerts, state writes, and billing events
- `maxPlaces` (integer): How many businesses to monitor (from placeUrls or the search query)
- `maxReviewsPerPlace` (integer): How many recent reviews to scrape per business
- `placeUrls` (array): Google Maps place URLs (/maps/place/...) to monitor
- `proxyConfiguration` (object): A residential proxy is strongly recommended — Google Maps blocks datacenter IPs.
- `query` (string): Google Maps search, e.g. 'restaurants Esch-sur-Alzette' — takes the first maxPlaces results. Ignored if placeUrls is non-empty.
- `slackConnector` (string): MCP connector to your Slack workspace. Authorize once in Apify Console → Settings → Integrations. The Actor only sees a connector ID. Leave empty to skip alerts (dataset only).

### `review_pitch_generator` (~468 tokens)

Generate pre-sales reports from a business's worst Google Maps reviews: HTML report plus ready pitch. Use when doing agency outbound and you want to show prospects their visible bad reviews. Returns pitch text and a shareable report URL per business. Pricing: $0.25 per run + $0.10 per pitch generated.

Input parameters:

- `dryRun` (boolean): Testing mode: skips report publishing and billing events
- `emailMap` (object): Mapping place name or Maps URL -> recipient email for outbound delivery. Only used when sendApproval is true.
- `maxEmailsPerRun` (integer): Rate limit: maximum reports emailed in one run (plus 20s inter-send delay and a 20/day global cap)
- `maxPlaces` (integer): How many prospects to analyze
- `maxReviewsPerPlace` (integer): How many recent reviews to scan per business when looking for the worst
- `mode` (string): generate = scrape + pitch + delivery. check-engagement = IMAP reply watch only (no Maps scraping, runs even under Google rate-limit)
- `placeUrls` (array): Google Maps place URLs (/maps/place/...) of the prospects to analyze
- `proxyConfiguration` (object): A residential proxy is strongly recommended — Google Maps blocks datacenter IPs.
- `query` (string): Google Maps search, e.g. 'restaurants Esch-sur-Alzette' — takes the first maxPlaces results. Ignored if placeUrls is non-empty.
- `sendApproval` (boolean): Explicit approval gate: without it, NO email is ever sent (reports are generated only)
- `smtpPassword` (string): Gmail app password for the SMTP user. Secret input, never logged.
- `smtpUser` (string): Gmail address used to send reports (requires an app password). Secret input.
- `telemetryEndpoint` (string): Base URL of our tracking receiver (e.g. https://track.example.com). Embeds an HMAC-signed 1px pixel in each HTML report; opens trigger CONVERSION_RECORDED.
- `vertical` (string): Sector template for pitch/report: chr (hotels/restaurants), immobilier, sante, artisanat
- `worstThreshold` (integer): Reviews at or below this rating are included in the pitch report

### `france_fuel_prices` (~129 tokens)

Get live fuel prices for about 10,000 gas stations across France (official open data, Hermès Revenu API). Use when comparing fuel prices, estimating route costs or building price datasets for France. Returns station objects with prices per fuel type. Pricing: $0.20 per run + $0.01 per 1k stations.

Input parameters:

- `carburant` (string): Filtrer par type de carburant
- `departement` (string): Filtrer par code département (ex: '75' pour Paris, '69' pour Lyon). Laissez vide pour toute la France.

### `hotel_rate_monitoring` (~45 tokens)

Monitor hotel rates across booking sources for revenue management. Use when tracking competitor hotel pricing or building rate intelligence. Returns rate observations per hotel and date. Micro-pricing per event.

### `aeo_ai_visibility_checker` (~167 tokens)

Check any website's AI visibility with a 7-criteria AEO audit: JSON-LD, llms.txt, AI bots in robots.txt and more. Use when you need to know if a site can be cited by ChatGPT, Perplexity or Claude — this checker returns a 0-7 score with exact fixes plus a generated llms.txt draft. FREE.

Input parameters:

- `generateLlmsTxt` (boolean): Also generate a ready-to-publish llms.txt draft for the audited site (delivered in the dataset and in the key-value store as llms.txt).
- `url` (string, required): Full URL of the site to audit (e.g. https://example.lu). The checker fetches the homepage, /llms.txt and /robots.txt.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/jeffreyturov-dev-adaga-solutions-toolbox/adagasolutions#diagnostics

## Score history

- 2026-10-17: 63
- 2026-10-16: 62
- 2026-10-15: 62
- 2026-10-14: 62
- 2026-10-13: 61
- 2026-10-12: 61

## Common questions

### What is the Adaga solutions — Data APIs Toolbox MCP server?

Adaga solutions — Data APIs Toolbox is an MCP server listed in the public MCP registry as io.github.jeffreyturov-dev/adaga-solutions-toolbox. 12 pay-per-event data APIs: Maps, TikTok, Instagram, YouTube, LinkedIn, RAG, reviews, fuel, AEO. This page covers its hosted endpoint (https://adagasolutions.lu/mcp).

### Is the Adaga solutions — Data APIs Toolbox MCP server safe to use?

Adaga solutions — Data APIs Toolbox scores 63 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Adaga solutions — Data APIs Toolbox MCP server expose?

Adaga solutions — Data APIs Toolbox exposes 13 tools: local_presence_audit, google_maps_scraper, tiktok_scraper, instagram_scraper, youtube_scraper, and 8 more. Their descriptions and schemas cost roughly 2,645 tokens of context every time the server is loaded.

### Does the Adaga solutions — Data APIs Toolbox MCP server require authentication?

No. We connected to Adaga solutions — Data APIs Toolbox without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Adaga solutions — Data APIs Toolbox MCP server still maintained?

Adaga solutions — Data APIs Toolbox is still listed as active in the MCP registry. We last reached this channel on 17 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://adagasolutions.lu/mcp
- Website: https://adagasolutions.lu/apis/
- Changelog RSS feed: https://verifymcp.io/servers/jeffreyturov-dev-adaga-solutions-toolbox/adagasolutions.xml
- Changelog JSON feed: https://verifymcp.io/servers/jeffreyturov-dev-adaga-solutions-toolbox/adagasolutions.json
- HTML version of this page: https://verifymcp.io/servers/jeffreyturov-dev-adaga-solutions-toolbox/adagasolutions