学习模型上下文协议(MCP)服务器

Created By
Joseph19820124a year ago
学习模型上下文协议(MCP)服务器 - 翻译和学习资源
Overview

What is the MCP Server?

The Model Context Protocol (MCP) Server is a repository dedicated to providing Chinese learning resources, translation documents, and practical guides related to the Model Context Protocol (MCP).

How to use the MCP Server?

Users can access the repository to find translated documents, recommended resources, and practical examples of MCP server and client implementations. To get started, read the provided guides and install the necessary tools like Claude Desktop.

Key features of the MCP Server?

  • Comprehensive Chinese learning resources on MCP
  • Translations of high-quality English MCP documents and tutorials
  • Sharing of practical experiences and best practices related to MCP
  • Collection of implementation examples for MCP servers and clients

Use cases of the MCP Server?

  1. Learning the fundamentals of the Model Context Protocol.
  2. Implementing custom MCP servers for specific applications.
  3. Exploring different transport methods (STDIO vs HTTP) for MCP.

FAQ from the MCP Server?

  • What is the purpose of the MCP?

The MCP is an open standard designed to connect AI models with external tools, data sources, and systems, simplifying integration complexities.

  • How can I contribute to the MCP project?

Contributions can be made by translating documents, sharing experiences, reporting issues, or providing code examples.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Joseph19820124
Star
0
Language
-
License
MIT license

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

8 hours ago