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LLM Abacus MCP Server

by llmabacus Your server? Claim it
answering

LLM Abacus is answering right now. Last checked 5 min ago. It exposes 2 tools.

Compare up-to-date pricing for 40+ LLMs (incl. Chinese) & estimate cost from tokens. EN/zh.

Uptime history 47 days of history
47 days agonow
100.0%
Uptime 24h
92 of 92 checks
2
Tools
read from the server
562 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 20 August 2026. No other catalogue keeps this.

20 Aug a tool changed the parameters it asks for estimate_cost

Nothing serious here today

Today is the operative word: we check LLM Abacus every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add pricing --transport http https://llmabacus.com/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "pricing": {
      "url": "https://llmabacus.com/api/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.pricing]
url = "https://llmabacus.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "pricing": {
      "url": "https://llmabacus.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "pricing": {
      "url": "https://llmabacus.com/api/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

estimate
estimate_cost
估算一段文本或指定 token 数在某个大模型上的**输入侧**调用成本,以人民币 ¥ 计价。text_or_tokens 支持两种模式:传自然语言文本时自动估算 token 数(中文按字符、英文按词分别计),传纯数字字符串时直接作为已知 token 数使用。返回:所用估算方法、token 数、按原价计的输入成本;若该模型提供缓存输入价,另给出缓存命中成本、相对原价的节省百分比与倍数差价;末尾附该模型的输入 / 输出 / 缓存输入单价(每百万 tokens)。⚠️ 本工具只计算输入成本,不含输出 token 费用——要估算完整往返成本,需另取输出单价自行相加。
model
query_model_price
查询指定大模型(如 GPT-5, Claude, DeepSeek)的最新 API 输入、输出和缓存输入单价(单位:每百万 tokens)。

Endpoints

URLTransportStateLatencyChecked
https://llmabacus.com/api/mcp streamable-http answering 840 ms 5 min ago

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LLM Abacus — questions

Answers built from our own checks of this server.

What can LLM Abacus do?
It exposes 2 tools, read directly from the server on our last check. Among them: estimate_cost, query_model_price. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is LLM Abacus working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 562 ms. The bar chart above shows every period we have measured.
How do I connect LLM Abacus?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does LLM Abacus need an API key?
No. LLM Abacus completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is LLM Abacus?
It answers our handshake in 562 ms on average, which is faster than 24% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.