Cheers GEO MCP server

• Addresshttps://www.cheers.tech/mcpnot in the official registry: answered when asked

No entry in the official MCP registry names this server. It answered on cheers.tech when the Atlas asked at the address servers are usually mounted on, so it is the vendor's own. Clients and catalogues that list servers from the registry do not show it.

• Stateanswerschecked 2026-10-27
• Tools8
• Server calls itselfcheers
• Server version0.2.0
• Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 95 ms.

• Whether its tools do the product's job has not been judged yet.
• Checked on 1 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: 1 so far
• Answeredmeasuring1 of the 7 daily checks it takes to print a share
• Median first answer171 ms
• Space in an agent's context≈ 1,133 tokensthe definitions of all its tools (8), which an agent carries on every turn
• Tool definitionsA · 92 of 100
• Typed results0 of 8 toolsdeclared outputSchema: results come typed, read once

• Parameters without a description: in 4 of 8

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 →

• get_cheers_overview

  What Cheers is, who it serves, what the team does each month, how an engagement works, and where to go next (demo, free AI visibility check, contact). Call this first when evaluating Cheers as a vendor.

• check_fit

  Assess whether Cheers is a good fit for a business from its industry and number of locations. Returns strong, possible or unlikely with reasons and the most relevant solution pages and case studies.

• get_pricing

  Cheers' published plans and monthly prices, physical badge pricing, contract terms and how to start. Returns only published pricing.

• list_proof

  Published Cheers case studies with their metrics, observation dates, measurement windows and sources. Optionally filter by industry keyword.

• search_cheers_knowledge

  Keyword search across Cheers' published FAQs, solution pages, case studies, vendor comparisons and GEO Academy articles about local SEO, reviews and AI visibility. Returns passages with URLs.

• ask_cheers

  Ask any question about Cheers (services, fit, process, proof, integrations, pricing approach). Answers come only from Cheers' published information, with sources, and say so when the answer is not published.

• get_ai_visibility_check

  How to run Cheers' free AI Visibility Grader, which checks whether ChatGPT, Gemini and Perplexity recommend a specific local business. Returns the link the person uses to start it.

• request_demo

  Ask the Cheers team for a demo on a person's behalf. Cheers emails the person a confirmation link; the request is saved only after they click it (an assistant with access to their inbox may do that for them). Requires a work email, a…