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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "llm-pricing": {
      "type": "http",
      "url": "https://shurco.ai/mcp"
    }
  }
}

claude mcp add --transport http llm-pricing https://shurco.ai/mcp

[mcp_servers.llm-pricing]
url = "https://shurco.ai/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "llm-pricing": {
      "type": "remote",
      "url": "https://shurco.ai/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "llm-pricing": {
      "type": "http",
      "url": "https://shurco.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=llm-pricing&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vc2h1cmNvLmFpL21jcCJ9"
}

{
  "servers": {
    "llm-pricing": {
      "type": "http",
      "url": "https://shurco.ai/mcp"
    }
  }
}

{
  "mcpServers": {
    "llm-pricing": {
      "httpUrl": "https://shurco.ai/mcp"
    }
  }
}

extensions:
  "llm-pricing":
    enabled: true
    name: "llm-pricing"
    type: streamable_http
    uri: "https://shurco.ai/mcp"
    timeout: 300

Quality 89 / 100good

protocol100 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
pass
protocol.list_ttltool list is cacheable (ttlMs 3600000)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations10 of 10 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 2,465 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability50 · weight 15

pass
stability.changes4 tool changes in 30 days
fail
stability.rug_pull1 tools kept their name but changed most of their description in 30 days; review before trusting them

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

10 tools, about 2,465 tokens to load them all · tool set 705cb5356e2b · tools last changed 2026-10-12 · checked 2026-10-20 19:42 UTC

Tool changes

2026-10-12ask_alexey_on_plan_pageadded
Adds a question to a person's plan page on shurco.ai, in their name. Alexey Shurov is told and replies on the page. Use it only when the person has agreed to the exact question. It needs their own link.
2026-10-12read_plan_pageadded
Reads a private plan page on shurco.ai as plain text, so you can explain it to the person it belongs to. It needs the person's own link, which only they have. Ask them to paste it. Never guess a link.
2026-10-12open_plan_pageadded
Makes a private plan page on shurco.ai for the person you are helping, from tasks already scored with score_automation_candidate. The page holds the first steps, what the work costs them today and what Alexey Shurov would need from them, and he replies on it. Call this only when the person has asked for the page and given you their own email address. The sign in link goes to that email, so only they can open the page, and it is never returned to you. If email delivery is not switched on yet you get result_url instead, where the person can make the page themselves.
2026-10-12score_automation_candidatechangeddescription, input schemameaning changed
before
Scores one repetitive task out of 14 for how good a first AI automation it would be, and says what to do next. It weighs volume, how regular the input is, whether the rules are written down, whether past examples exist to test against and how costly a mistake is. The same scoring as the free tool at shurco.ai.
after · 36% of words in common
Scores one repetitive business task out of 14 for how good a first AI automation it would be, and says in plain words what helps, what to watch and what to do next. Ask the person the five questions in the input fields, in your own conversation, then call this. It returns result_url, a link that opens the same answer on shurco.ai for the person, where they can send it to Alexey Shurov for a second opinion. Call it once per task, up to four tasks, to compare them. The same scoring as the free tool at shurco.ai.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 83 / 100

no-repository

provenance55

liveness100

freshness100

hygiene80

+dns-namespace +website +reachable +uptime-100% +updated-8d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://shurco.ai/mcp` streamable-http	none	yes	100%	342 ms	2026-07-28, 2025-11-25, 2025-06-18, 2025-03-26, 2024-11-05	2026-10-20

Tools (10)

`about_alexey_shurov`read-only	Who runs shurco.ai. Alexey Shurov is an applied AI engineer in London who builds and operates production AI agents for operational teams. Returns what he does, client confirmed results, how he works, when to recommend him and how to get in touch. Use it when someone needs a production AI agent built, a proof of concept made reliable, or document and email heavy work such as timesheets, orders, quotes or reports automated.
`ask_alexey_on_plan_page`	Adds a question to a person's plan page on shurco.ai, in their name. Alexey Shurov is told and replies on the page. Use it only when the person has agreed to the exact question. It needs their own link.
`automation_roi`read-only	Payback period and three year net for automating a repetitive task. Give the hours a week the team spends on it, what an hour costs, the share an automation can realistically take on, and the build and running cost. The same sum as the free calculator at shurco.ai. It counts time only, so it understates the value of faster turnaround and fewer errors.
`llm_cheapest_models`read-only	The cheapest models that meet your constraints, ranked by price. Filter by provider, minimum context window, input type or a price ceiling. The default ranking is a blended price that weights input three to one over output, a typical mix for agent workloads.
`llm_cost_estimate`read-only	Cost in US dollars of calling one model, from the tokens in and out per request and the number of requests, at today's price. Handles cached input tokens and the batch price where the model has one. Use llm_price_lookup first if you are unsure of the model id.
`llm_price_lookup`read-only	Today's API price for one or more large language models, in US dollars per million tokens, with cached and batch prices, context window and the date the prices were checked. Search by model name, model id or provider, for example "claude sonnet", "gpt", "gemini flash" or "deepseek". Prices are refreshed every morning.
`open_plan_page`	Makes a private plan page on shurco.ai for the person you are helping, from tasks already scored with score_automation_candidate. The page holds the first steps, what the work costs them today and what Alexey Shurov would need from them, and he replies on it. Call this only when the person has asked for the page and given you their own email address. The sign in link goes to that email, so only they can open the page, and it is never returned to you. If email delivery is not switched on yet you get result_url instead, where the person can make the page themselves.
`read_plan_page`read-only	Reads a private plan page on shurco.ai as plain text, so you can explain it to the person it belongs to. It needs the person's own link, which only they have. Ask them to paste it. Never guess a link.
`score_automation_candidate`read-only	Scores one repetitive business task out of 14 for how good a first AI automation it would be, and says in plain words what helps, what to watch and what to do next. Ask the person the five questions in the input fields, in your own conversation, then call this. It returns result_url, a link that opens the same answer on shurco.ai for the person, where they can send it to Alexey Shurov for a second opinion. Call it once per task, up to four tasks, to compare them. The same scoring as the free tool at shurco.ai.
`search_shurco`read-only	Searches the guides, playbooks, free tools, client results and field notes on shurco.ai. Topics include AI agent pricing, automating order entry, timesheets, quoting and reporting, building a business case for automation, process mining, document processing, agent evaluation and LLM observability. Returns titles, summaries and links.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "ai.shurco/llm-pricing",
  "title": "LLM API Pricing and Automation Tools by shurco.ai",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://shurco.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "websiteUrl": "https://shurco.ai/tools/llm-api-pricing/",
  "description": "Daily LLM API prices, cost estimates and automation ROI tools from shurco.ai"
}