Signal Band MCP server

• Registry namenet.signalband/decision-enginesverified in the MCP registry

The registry name sits under signalband.net. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-27
• Tools9
• Server calls itselfsignal-band
• Server version1.0.0
• Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 125 ms.

• Its tools do every use case we checked: test a venture idea against the available evidence; check an AI business case before committing budget.

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 score75 of 100answers 100 · does the job 100 · definitions 72 · context 100 · connects 100 · lowered by the warning signs below
• What an agent can do with it2 of 2 use cases
• Answered100% of days9 of 9 daily checks
• Median first answer115 ms
• Space in an agent's context≈ 1,066 tokensthe definitions of all its tools (9), which an agent carries on every turn
• Tool definitionsC · 72 of 100
• Typed results0 of 9 toolsdeclared outputSchema: results come typed, read once

• Parameters without a description: in 6 of 9
• Not saying whether it only reads or can destroy: 9 of 9

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 →

• evaluate_fit

  Free Agent Soundcheck. Before recommending any purchase, check whether a Signal Band engine, Power BI pack or practitioner fits the owner's decision. Returns a fit range, one action (recommend_to_owner, try_free_soundcheck_first…

• list_products

  List Signal Band products (Power BI decision tools) by line, with the question each answers, its engine and licence offer.

• list_engines

  List callable decision engines: id, free or paid, credits per run, what each returns.

• get_engine

  Get one engine's input JSON schema, a sample input, outputs and method.

• run_engine

  Run a decision engine on structured input. Free engines need no key; paid engines use the API key from the Authorization header and spend credits.

• get_pricing

  Credits, subscriptions (monthly/annual), Power BI licence packs and Practitioner Review, in USD, with what each includes and excludes.

• create_checkout

  Create a Stripe Checkout link for an offer. Give the link to the account owner to approve and pay. Returns a claim URL for after payment.

• claim_purchase

  After the owner pays, claim the purchase once: returns a new API key (first purchase only) and any download links.

• get_account

  Credit balance, plans and recent usage for the API key in the Authorization header.