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Compare LLM inference costs vs OpenAI/Anthropic/DeepSeek. Gonka is up to 6800x cheaper.
Compare LLM inference costs vs OpenAI/Anthropic/DeepSeek. Gonka is up to 6800x cheaper.
Remote endpoints: streamable-http: https://mcp.gogonka.com/mcp
This is a well-structured MCP server for exposing Gonka Network pricing data with appropriate security controls. Authentication is not required (pricing data is public), and the server has no dangerous patterns, malicious code, or sensitive credential handling. Permissions are narrowly scoped to file I/O and network requests appropriate for a pricing lookup service. Minor code quality observations do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity).
3 files analyzed · 10 issues found
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From the project's GitHub README.
An MCP (Model Context Protocol) server that lets AI agents compare LLM inference costs and get sign-up links for Gonka Network — an OpenAI-compatible inference API up to 6800× cheaper than GPT-4o.
Live endpoint: https://mcp.gogonka.com/mcp
| Provider | Model | $/1M input tokens |
|---|---|---|
| OpenAI | GPT-4o | $2.50 |
| Anthropic | Claude Sonnet 4.6 | $3.00 |
| DeepSeek | deepseek-chat | $0.28 |
| Gonka | MiniMax-M2.7 | ~$0.00037 |
Zero code changes needed — swap one environment variable:
from openai import OpenAI
client = OpenAI(
base_url="https://gate.joingonka.ai/v1",
api_key="YOUR_GONKA_API_KEY"
)
# Same API, same SDK, 6800× cheaper
get_pricingReturns live pricing: GNK/USD rate, cost per 1M tokens, comparison ratios, deposit example.
{
"usd_per_1m_tokens": 0.000370,
"vs_openai_ratio": 6749,
"vs_deepseek_ratio": 756,
"deposit_50_usd_tokens": 128000000000
}
get_available_modelsLists models available on Gonka Network with their access status.
[
{"id": "MiniMaxAI/MiniMax-M2.7", "status": "available"},
{"id": "moonshotai/Kimi-K2.6", "status": "available"},
{"id": "Qwen/Qwen3-235B-A22B-Instruct-2507-FP8", "status": "available"}
]
compare_providersCompare Gonka against a competitor provider.
Parameters: provider — one of "openai", "anthropic", "deepseek" (default: "openai")
{
"gonka_usd_per_1m_input": 0.000370,
"competitor_usd_per_1m_input": 2.50,
"gonka_is_cheaper_by": "6749x"
}
calculate_savingsCalculate monthly and annual savings when switching from OpenAI to Gonka.
Parameters: monthly_spend_usd — your current OpenAI spend in USD
{
"current_monthly_spend_usd": 200,
"gonka_monthly_cost_usd": 0.0296,
"monthly_savings_usd": 199.97,
"annual_savings_usd": 2399.64,
"savings_percentage": 99.9,
"signup_url": "https://gate.joingonka.ai/register?ref=..."
}
get_signup_linkGet the Gonka sign-up URL with referral bonus (12,000,000 nGNK ≈ 11,000 free tokens) and a Python quick-start snippet.
Add to your MCP settings:
{
"mcpServers": {
"gonka-pricing": {
"url": "https://mcp.gogonka.com/mcp",
"transport": "http"
}
}
}
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async with streamablehttp_client("https://mcp.gogonka.com/mcp") as (r, w, _):
async with ClientSession(r, w) as session:
await session.initialize()
result = await session.call_tool("calculate_savings", {"monthly_spend_usd": 200})
print(result)
pip install fastmcp
fastmcp call https://mcp.gogonka.com/mcp -t http calculate_savings '{"monthly_spend_usd": 200}'
# Step 1 — initialize session
SESSION=$(curl -sD - -X POST https://mcp.gogonka.com/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}},"id":1}' \
| grep -i mcp-session-id | awk '{print $2}' | tr -d '\r')
# Step 2 — call a tool
curl -s -X POST https://mcp.gogonka.com/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "Mcp-Session-Id: $SESSION" \
-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"calculate_savings","arguments":{"monthly_spend_usd":200}},"id":2}'
/var/www/gogonka/pricing.json on the servergit clone https://github.com/gogonka/gonka-mcp-server
cd gonka-mcp-server
pip install -r requirements.txt
python server.py
# Server starts on http://127.0.0.1:8643
The server reads pricing data from /var/www/gogonka/pricing.json. For a standalone deployment, replace PRICING_FILE in server.py with your own pricing JSON path or fetch prices directly from the Gonka Network API.
Gonka Network Pricing 是一个 MCP(模型上下文协议)服务器,让AI代理能够比较LLM推理成本,并获取 Gonka Network 的注册链接。Gonka Network 提供与OpenAI完全兼容的推理API,成本比GPT-4o最低便宜 6800倍。
在线端点: https://mcp.gogonka.com/mcp
| 提供商 | 模型 | 每百万输入token费用 |
|---|---|---|
| OpenAI | GPT-4o | $2.50 |
| Anthropic | Claude Sonnet 4.6 | $3.00 |
| DeepSeek | deepseek-chat | $0.28 |
| Gonka | MiniMax-M2.7 | ~$0.00037 |
无需修改代码——只需替换一个环境变量:
from openai import OpenAI
client = OpenAI(
base_url="https://gate.joingonka.ai/v1", # 替换这里
api_key="YOUR_GONKA_API_KEY" # 替换API密钥
)
# 相同的API、相同的SDK,便宜6800倍
| 工具 | 功能 |
|---|---|
get_pricing | 获取实时定价:GNK/USD汇率、每百万token费用、对比倍率 |
get_available_models | 列出Gonka Network上可用的模型及访问状态 |
compare_providers | 将Gonka与OpenAI/Anthropic/DeepSeek进行价格对比 |
calculate_savings | 计算从OpenAI切换到Gonka后的月度和年度节省金额 |
get_signup_link | 获取注册链接(含12M nGNK≈11,000免费token赠品) |
pip install fastmcp
# 计算每月花费$200时可节省多少
fastmcp call https://mcp.gogonka.com/mcp -t http calculate_savings '{"monthly_spend_usd": 200}'
返回示例:
{
"current_monthly_spend_usd": 200,
"gonka_monthly_cost_usd": 0.0296,
"monthly_savings_usd": 199.97,
"annual_savings_usd": 2399.64,
"savings_percentage": 99.9
}
低成本LLM推理、OpenAI替代方案、GPT-4o平替、便宜API、LLM推理费用对比、 Anthropic替代、DeepSeek替代、降低AI成本、兼容OpenAI API、去中心化推理
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