
MarginGlow AI MCP server
Which MCP servers are MarginGlow AI's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-24
- Registry namecom.marginglow/signalverified in the MCP registry
The registry name sits under marginglow.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-24
- Tools3
- Server calls itselfmarginglow-signal
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 188 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 3 of the 7 days it takes to judge reliability.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer386 ms
- Space in an agent's context≈ 552 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results2 of 3 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- not sure · Review Google Business Profile visibility and customer reviews
- not sure · Check whether offers and prices are costing you margin
- cannot · Prepare answers to tender sustainability questions
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
analyse_small_business_opportunitiesUse this when a user wants practical, evidence-based ways for a specific small business to increase revenue, improve margins, reduce costs, strengthen Google visibility, improve conversion or prioritise growth actions. Requires the…
check_marginglow_signal_accessChecks the authenticated agent's complimentary and paid MarginGlow AI Signal balances, whether an analysis can run, which allowance will be used next and the latest successfully credited Stripe purchase. This is read-only and does not…
purchase_marginglow_signalCreates a secure Stripe payment link for one MarginGlow AI Signal costing EUR 2, inclusive of applicable tax. Use this when analyse_small_business_opportunities reports that no Signal credits remain. A payment-capable agent may follow the…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"signal": {
"type": "http",
"url": "https://www.marginglow.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http marginglow https://www.marginglow.com/mcpclaude.ai, ChatGPT and other clients: add https://www.marginglow.com/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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