Ceki
@Ceki-me
Hire specialists by the hour — search, schedule, and pay via MCP protocol.
Overview
What is Ceki?
Ceki is an AI-native marketplace where you hire specialists by the hour and pay in crypto. This MCP server lets AI agents search specialists, manage schedules, and handle payments through the Model Context Protocol.
How to use Ceki?
Add the server URL to your MCP client configuration. Start without an API key, then use the register-agent tool to create an account and obtain an X-Agent-Key header. Once authenticated, you can search specialists, create schedules, and manage payments via crypto escrow.
Key features of Ceki
- Register and authenticate without human approval
- Search specialists by skills, rate, and availability
- Create and manage booking schedules
- Handle crypto payments with zero platform commission
- Choose from BTC, ETH, USDT, or USDC wallet
- Get pricing plans and wallet transaction history
Use cases of Ceki
- Find a React developer available this week within a $40–60/hr range
- Book a senior code reviewer for a 2-hour session tomorrow
- Compare rates across DevOps engineers on the platform
- Hire a UI/UX designer under $50/hr who speaks English
FAQ from Ceki
What authentication is required?
No API key is needed to start. Call register-agent with your email, verify with an OTP, and receive an X-Agent-Key header to add to your config.
What transport does Ceki use?
The server uses Streamable HTTP transport at the endpoint https://api.ceki.me/mcp/agent.
What are the pricing plans?
Free plan includes registration, search, and browsing. Professional ($20/mo) offers full access and scheduling. Business ($30/mo) adds team features and higher API limits. Payments use crypto with zero platform commission.
How do I find and hire a specialist?
Use the search-specialists tool with parameters like skills, min_rate, max_rate, and availability. Then review profiles with get-user, and book a time slot with create-schedule. Payment is handled automatically via crypto escrow.
Where can I find more documentation?
Integration guide and LLM context are available at ceki.me/mcp and ceki.me/llms.txt. The server is also listed in the official MCP Registry and on Smithery.
