wostrom.de Preisvergleich
Server Details
Deutscher Preisvergleich für Strom-Produkte – Bestpreis-Suche (read-only).
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
2 toolslookup_productProdukt auf wostrom.de per ID/URL nachschlagenARead-onlyIdempotentInspect
Schlaegt ein konkretes Produkt im aktuellen wostrom.de-Katalog per Produkt-ID (Amazon-ASIN bzw. externalId aus search_offers) ODER per Amazon-Produkt-URL nach. Liefert Bestpreis, 30-Tage-Preisstatistik und den Angebots-Link. Genau eines der Felder id/url angeben. Looks up a specific product in the wostrom.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | Produkt-ID: Amazon-ASIN oder externalId. | |
| url | No | Amazon-Produkt-URL (z.B. https://www.amazon.de/dp/B0ABC123DE) — die ASIN wird extrahiert. |
Output Schema
| Name | Required | Description |
|---|---|---|
| site | No | |
| count | Yes | |
| query | No | |
| facets | No | Verfuegbare Filter-Werte (Marke + domain-spezifische Attribute) mit Trefferzahlen — zum gezielten Nachfiltern via query/brand/minPrice/maxPrice. |
| products | Yes | |
| updatedAt | No | |
| disclosure | No | |
| catalogVersion | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description reinforces these by stating 'read-only' and listing output data. It adds context about the returned fields (best price, price statistics, link) beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is bilingual and contains two sentences covering both German and English. It is concise but could be slightly more streamlined by removing the repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has an output schema (though not shown), the description adequately explains what the tool returns. It covers the parameters and usage constraint, making it complete for the agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with clear descriptions for id and url. The description adds the constraint 'Exactly one of id/url must be given', which goes beyond the schema's optional parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool looks up a specific product by ID or URL and delivers best price, price statistics, and offer link. It distinguishes from sibling search_offers by focusing on a single product lookup.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions exactly one of id/url must be given but does not explicitly guide when to use this tool versus the sibling search_offers. Implicit understanding is that this is for specific product lookup, not searching.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_offersstrom in Deutschland zum Bestpreis finden (Amazon, eBay, AliExpress)ARead-onlyIdempotentInspect
Findet strom zum guenstigsten aktuellen Preis in Deutschland (EUR) ueber Amazon, eBay und AliExpress — Preisvergleich wostrom.de. Nutze dieses Tool, wenn ein Nutzer nach Preis, Angebot, "guenstig", "wo kaufen" oder einem konkreten strom fragt. Durchsucht ~150 Produkte, filterbar per Suchbegriff, Marke und Preisspanne. Liefert je Produkt: Titel, Bestpreis, Marke, Bild, 30-Tage-Preistrend (priceStats.isLowest30d = aktuell guenstigster Stand), domain-spezifische Attribute (attributes, z.B. Leistung/Speicher/Farbe), einen direkten Kauf-Link (url) und eine zitierfaehige Produktseite (detailUrl). Die Antwort enthaelt zusaetzlich facets (verfuegbare Filterwerte) zum Verfeinern. Read-only, Kauf beim verlinkten Haendler (Affiliate, Preis unveraendert). Finds the cheapest current price in Germany for strom across Amazon, eBay and AliExpress; returns best price, price trend, filter attributes and a direct link.
| Name | Required | Description | Default |
|---|---|---|---|
| brand | No | Auf eine Marke einschraenken (exakter Wert aus facets.marke, z.B. "Nike"). | |
| limit | No | Maximale Anzahl Ergebnisse (Default 24, max 100). | |
| query | No | Suchbegriff, z.B. Modell/Marke/Eigenschaft ("Balkonkraftwerk 800W", "iPhone 15 schwarz"). Optional. | |
| maxPrice | No | Hoechstpreis in EUR (optional). | |
| minPrice | No | Mindestpreis in EUR (optional). |
Output Schema
| Name | Required | Description |
|---|---|---|
| site | No | |
| count | Yes | |
| query | No | |
| facets | No | Verfuegbare Filter-Werte (Marke + domain-spezifische Attribute) mit Trefferzahlen — zum gezielten Nachfiltern via query/brand/minPrice/maxPrice. |
| products | Yes | |
| updatedAt | No | |
| disclosure | No | |
| catalogVersion | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds behavioral context: it confirms read-only nature, explains affiliate links with unchanged prices, describes the output (title, best price, brand, image, 30-day trend, attributes, direct link, detail URL, facets). No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured: purpose first, then usage guidance, then what it searches, output details, and a read-only note. It is slightly repetitive with both German and English, but not overly verbose. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With an output schema indicated, the description explains all output fields and includes facets for further filtering. All 5 optional parameters are explained. The sibling tool context is clear. The description is complete for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema covers all 5 parameters with descriptions (100% coverage). The description adds extra context: filterable by brand, price range, and mentions facets in output for refinement. This reinforces parameter usage beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it finds the cheapest current price for 'strom' across Amazon, eBay, and AliExpress, with a price comparison from wostrom.de. It explicitly says when to use (for price, offer, cheap, where to buy queries) and distinguishes from sibling 'lookup_product' by being a search across multiple sellers for best price.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says to use this tool when a user asks for price, offer, cheap, where to buy, or a specific product query. It does not explicitly exclude when not to use or mention alternative 'lookup_product' for single product details, but the context is strong enough for an agent to infer.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
2 tool updates
- Changed
lookup_product5 fields changed- added
Output schema / properties / facetsAdded value: +{ + "description": "Verfuegbare Filter-Werte (Marke + domain-spezifische Attribute) mit Trefferzahlen — zum gezielten Nachfiltern via query/brand/minPrice/maxPrice.", + "type": "array" +} - added
Output schema / properties / products / items / properties / attributesAdded value: +{ + "description": "Domain-spezifische Filter-Attribute, z.B. {farbe, watt, speicher, reichweite}.", + "type": "object" +} - added
Output schema / properties / products / items / properties / brandAdded value: +{ + "type": "string" +} - added
Output schema / properties / products / items / properties / detailUrlAdded value: +{ + "description": "Zitierfaehige Produktseite mit Preisverlauf.", + "type": "string" +} - added
Output schema / properties / products / items / properties / priceStats / descriptionAdded value: +"30-Tage-Preisstatistik (avg/min/max, isLowest30d)."
- Changed
search_offers11 fields changed- added
Input schema / properties / brandAdded value: +{ + "description": "Auf eine Marke einschraenken (exakter Wert aus facets.marke, z.B. \"Nike\").", + "type": "string" +} - changed
Input schema / properties / limit / descriptionPrevious value: -"Maximale Anzahl Ergebnisse (Default 24, max 50)."New value: +"Maximale Anzahl Ergebnisse (Default 24, max 100)." - changed
Input schema / properties / limit / maximumPrevious value: -50New value: +100 - added
Input schema / properties / maxPriceAdded value: +{ + "description": "Hoechstpreis in EUR (optional).", + "type": "number" +} - added
Input schema / properties / minPriceAdded value: +{ + "description": "Mindestpreis in EUR (optional).", + "type": "number" +} - changed
Input schema / properties / query / descriptionPrevious value: -"Optionaler Suchbegriff — filtert nach Titel, Marke oder Haendler."New value: +"Suchbegriff, z.B. Modell/Marke/Eigenschaft (\"Balkonkraftwerk 800W\", \"iPhone 15 schwarz\"). Optional." - added
Output schema / properties / facetsAdded value: +{ + "description": "Verfuegbare Filter-Werte (Marke + domain-spezifische Attribute) mit Trefferzahlen — zum gezielten Nachfiltern via query/brand/minPrice/maxPrice.", + "type": "array" +} - added
Output schema / properties / products / items / properties / attributesAdded value: +{ + "description": "Domain-spezifische Filter-Attribute, z.B. {farbe, watt, speicher, reichweite}.", + "type": "object" +} - added
Output schema / properties / products / items / properties / brandAdded value: +{ + "type": "string" +} - added
Output schema / properties / products / items / properties / detailUrlAdded value: +{ + "description": "Zitierfaehige Produktseite mit Preisverlauf.", + "type": "string" +} - added
Output schema / properties / products / items / properties / priceStats / descriptionAdded value: +"30-Tage-Preisstatistik (avg/min/max, isLowest30d)."
2 tool updates
- First observed
lookup_product - First observed
search_offers
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Connectors
Deutscher Preisvergleich für Stromspeicher – Bestpreis-Suche (read-only).
Deutscher Preisvergleich für Solaranlagen & Balkonkraftwerke – Bestpreis-Suche (read-only).
Deutscher Preisvergleich für Handys – Bestpreis-Suche (read-only).
Deutscher Preisvergleich für Laptops – Bestpreis-Suche (read-only).
Related MCP Servers
- FlicenseNot gradedqualityBmaintenanceProvides real-time electricity prices, cheapest hours, and contract comparison for 40+ countries, enabling AI agents to make energy-aware decisions.3-
- AlicenseNot gradedqualityBmaintenanceEnables AI to search Geizhals price-comparison data, including products, best prices, price history, ratings, categories, and deals.2MIT
- AlicenseAqualityBmaintenanceAI agent for Italian energy tariff comparison. Analyzes electricity and gas bills, compares 44+ offers from 13 providers, estimates savings with full ARERA regulated cost breakdown7MIT
- AlicenseAqualityBmaintenanceLive and historical electricity prices, demand, generation mix and carbon intensity for 25 grid zones (US, Europe, GB, Australia). Hosted endpoint plus local stdio bridge; free sample mode, free API key, or x402 pay-per-call.6MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool has a distinct purpose: search_offers finds products by query, lookup_product retrieves details by ID/URL. No overlap.
Both tools follow a clear verb_noun pattern (search_offers, lookup_product) with consistent snake_case.
Two tools is on the lower end of appropriate for a price comparison server, but covers search and lookup. Could benefit from additional tools like category browsing.
The set covers core operations (search and lookup) but lacks features like filtering, comparison, or historical trends beyond 30 days.