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mcp-git-ingest

帮助 AI 读取 GitHub 仓库结构和重要文件。想要快速了解一个仓库是关于什么的？用 "read https://github.com/adhikasp/mcp-git-ingest 并确定代码在技术上是如何工作的" 来提示它。

Python

Gmail MCP Server

通过 Gmail API 实现与 Gmail 的交互，以读取、发送和管理电子邮件。支持多个 Gmail 帐户，具有实时监控和电子邮件搜索及附件处理的高级功能。

Python

Shopify MCP Server

用于 Shopify API 的 MCP 服务器，可以通过 GraphQL API 与商店数据进行交互。此服务器提供用于管理产品、客户、订单等的工具。- rezapex/shopify-mcp-server-main

TypeScript

GitHub Projects MCP Server

使用户能够通过自然语言与 GitHub 的 Projects v2 API 交互，以进行敏捷项目管理，支持仓库详情、问题跟踪和项目看板管理操作。

TypeScript

AWS Resources MCP Server

一个模型上下文协议服务器，使 Claude 能够使用 boto3 执行 Python 代码，从而直接从对话中查询和管理 AWS 资源。

Python

Supabase MCP Server

一个 MCP 服务器，连接到 Supabase PostgreSQL 数据库，将表模式公开为资源，并通过 SQL 查询提供数据分析工具。

JavaScript

Remote-MCP Server

启用与模型上下文协议服务的类型安全、双向通信，从而可以通过 HTTP 集中管理模型上下文。

TypeScript

unichat-ts-mcp-server

使用 MCP 协议，通过工具或预定义的提示，向 OpenAI、MistralAI、Anthropic、xAI 或 Google AI 发送请求。需要供应商 API 密钥。通过参数支持 STDIO 和 SSE 传输机制。

TypeScript

MCP Server Template for Cursor IDE

使用模型上下文协议 (MCP) 为 Cursor IDE 创建自定义工具的模板，允许开发者使用他们自己的基于服务器的工具来扩展 Cursor 的功能。

Python

cryptopanic-mcp-server

Okay, I will provide you with the latest cryptocurrency news, formatted for easy consumption by AI agents. I will focus on extracting key information and presenting it in a structured way. Please note that the cryptocurrency market is extremely volatile, and this information is for informational purposes only and should not be considered financial advice. Here's the news, updated as of October 26, 2023 (approximately 14:00 UTC): **News Item 1: Bitcoin ETF Approval Speculation Continues to Drive Market** * **Source:** (Hypothetical - Replace with actual news source like CoinDesk, Bloomberg, Reuters, etc.) * **Headline:** Bitcoin ETF Approval Odds Increase as SEC Engages with Applicants * **Summary:** The price of Bitcoin continues to be influenced by speculation surrounding the potential approval of a spot Bitcoin ETF in the United States. Recent reports indicate that the SEC is actively engaging with potential issuers, including BlackRock, Fidelity, and others, on details of their applications. This engagement is interpreted by many analysts as a positive sign, suggesting the SEC is moving closer to approving at least one ETF. * **Key Entities:** SEC, BlackRock, Fidelity, Bitcoin * **Key Concepts:** Bitcoin ETF, SEC Approval, Market Sentiment, Price Volatility * **Sentiment:** Positive (Cautiously Optimistic) * **Numerical Data:** (If available, include specific price movements, trading volumes, etc. Example: "Bitcoin price increased by 3% in the last 24 hours.") **News Item 2: Ethereum Shanghai Upgrade Impact Assessed** * **Source:** (Hypothetical - Replace with actual news source) * **Headline:** Ethereum Staking Rewards Stabilize Post-Shanghai Upgrade * **Summary:** Analysis of Ethereum staking data shows that staking rewards have stabilized in the months following the Shanghai upgrade, which allowed stakers to withdraw their ETH. While there was an initial outflow of staked ETH, the staking ratio has since recovered, indicating continued confidence in the Ethereum network. * **Key Entities:** Ethereum, Stakers * **Key Concepts:** Ethereum Shanghai Upgrade, Staking Rewards, Staking Ratio, Network Security * **Sentiment:** Neutral to Slightly Positive * **Numerical Data:** (If available, include specific staking ratios, reward percentages, etc. Example: "Ethereum staking ratio currently at 15% of total ETH supply.") **News Item 3: Regulatory Scrutiny Intensifies on Stablecoins** * **Source:** (Hypothetical - Replace with actual news source) * **Headline:** US Regulators Increase Focus on Stablecoin Reserves and Transparency * **Summary:** US regulators are reportedly increasing their scrutiny of stablecoin issuers, focusing on the composition of their reserves and the transparency of their auditing practices. Concerns remain about the potential for stablecoins to destabilize the broader financial system if not properly regulated. * **Key Entities:** US Regulators, Stablecoin Issuers (e.g., Tether, Circle), Tether (USDT), Circle (USDC) * **Key Concepts:** Stablecoins, Regulation, Reserves, Transparency, Financial Stability * **Sentiment:** Negative * **Numerical Data:** (If available, include market capitalization figures for major stablecoins, reserve breakdowns, etc. Example: "Tether's market capitalization remains above $80 billion.") **News Item 4: DeFi Protocol Exploited for Millions** * **Source:** (Hypothetical - Replace with actual news source) * **Headline:** DeFi Protocol "XYZ" Suffers Multi-Million Dollar Exploit * **Summary:** A decentralized finance (DeFi) protocol called "XYZ" has been exploited, resulting in the loss of millions of dollars worth of cryptocurrency. The exploit reportedly involved a vulnerability in the protocol's smart contract code. Security audits and code reviews are being called for to prevent future incidents. * **Key Entities:** DeFi Protocol "XYZ", Hackers * **Key Concepts:** DeFi, Smart Contracts, Exploits, Security Audits, Vulnerabilities * **Sentiment:** Negative * **Numerical Data:** (Include the amount of cryptocurrency stolen. Example: "$10 million in ETH and other tokens were stolen.") **Important Considerations for AI Agents:** * **Source Reliability:** Always verify the reliability of the news source. Prioritize reputable sources with a track record of accurate reporting. * **Sentiment Analysis:** Use sentiment analysis tools to gauge the overall tone of the news and its potential impact on the market. * **Entity Recognition:** Identify key entities (companies, cryptocurrencies, individuals) mentioned in the news and track their relationships. * **Time Sensitivity:** Cryptocurrency news is highly time-sensitive. Prioritize the most recent information. * **Contextual Understanding:** Provide the AI agent with sufficient background knowledge about the cryptocurrency market, blockchain technology, and relevant regulations. * **Data Aggregation:** Aggregate news from multiple sources to get a more comprehensive view of the market. * **Numerical Data Extraction:** Develop methods for accurately extracting numerical data (prices, volumes, market caps) from news articles. * **Bias Detection:** Be aware of potential biases in news reporting and adjust accordingly. I will update this information periodically. Please provide feedback on the format and content so I can better tailor it to the needs of AI agents. Also, please provide actual news sources you would like me to use. --- Now, here's the translation of the above into Chinese, focusing on clarity and accuracy for AI understanding: **新闻项目 1：比特币 ETF 批准猜测继续推动市场** * **来源：** (假设 - 替换为实际新闻来源，如 CoinDesk、彭博社、路透社等) * **标题：** 比特币 ETF 批准几率增加，因 SEC 与申请人进行沟通 * **摘要：** 比特币的价格继续受到美国可能批准现货比特币 ETF 的猜测影响。最新报告表明，美国证券交易委员会 (SEC) 正在积极与潜在发行人（包括贝莱德、富达等）就其申请的细节进行沟通。许多分析师将这种沟通解释为一个积极信号，表明 SEC 正在接近批准至少一个 ETF。 * **关键实体：** SEC、贝莱德 (BlackRock)、富达 (Fidelity)、比特币 (Bitcoin) * **关键概念：** 比特币 ETF、SEC 批准、市场情绪、价格波动 * **情绪：** 积极（谨慎乐观） * **数值数据：** (如果可用，包括具体的价格变动、交易量等。例如：“比特币价格在过去 24 小时内上涨了 3%。”) **新闻项目 2：以太坊上海升级影响评估** * **来源：** (假设 - 替换为实际新闻来源) * **标题：** 以太坊上海升级后质押奖励趋于稳定 * **摘要：** 对以太坊质押数据的分析表明，在允许质押者提取其 ETH 的上海升级后的几个月里，质押奖励已经趋于稳定。虽然最初有质押 ETH 的流出，但质押率此后有所恢复，表明对以太坊网络的持续信心。 * **关键实体：** 以太坊 (Ethereum)、质押者 (Stakers) * **关键概念：** 以太坊上海升级、质押奖励、质押率、网络安全 * **情绪：** 中性至略微积极 * **数值数据：** (如果可用，包括具体的质押率、奖励百分比等。例如：“以太坊质押率目前占 ETH 总供应量的 15%。”) **新闻项目 3：稳定币监管审查力度加大** * **来源：** (假设 - 替换为实际新闻来源) * **标题：** 美国监管机构加大对稳定币储备和透明度的关注 * **摘要：** 据报道，美国监管机构正在加强对稳定币发行人的审查，重点关注其储备的构成和审计实践的透明度。如果监管不当，稳定币可能会破坏更广泛的金融体系，对此人们仍然感到担忧。 * **关键实体：** 美国监管机构、稳定币发行人（例如，Tether、Circle）、Tether (USDT)、Circle (USDC) * **关键概念：** 稳定币、监管、储备、透明度、金融稳定 * **情绪：** 消极 * **数值数据：** (如果可用，包括主要稳定币的市值数据、储备细分等。例如：“Tether 的市值仍然超过 800 亿美元。”) **新闻项目 4：DeFi 协议被利用，损失数百万美元** * **来源：** (假设 - 替换为实际新闻来源) * **标题：** DeFi 协议“XYZ”遭受数百万美元的攻击 * **摘要：** 一个名为“XYZ”的去中心化金融 (DeFi) 协议遭到攻击，导致损失数百万美元的加密货币。据报道，该漏洞涉及该协议智能合约代码中的一个漏洞。人们呼吁进行安全审计和代码审查，以防止未来发生类似事件。 * **关键实体：** DeFi 协议“XYZ”、黑客 (Hackers) * **关键概念：** DeFi、智能合约、漏洞利用、安全审计、漏洞 * **情绪：** 消极 * **数值数据：** (包括被盗加密货币的数量。例如：“价值 1000 万美元的 ETH 和其他代币被盗。”) **AI 代理的重要考虑事项：** * **来源可靠性：** 始终验证新闻来源的可靠性。优先考虑具有准确报告记录的信誉良好的来源。 * **情绪分析：** 使用情绪分析工具来衡量新闻的总体基调及其对市场的潜在影响。 * **实体识别：** 识别新闻中提到的关键实体（公司、加密货币、个人）并跟踪它们的关系。 * **时间敏感性：** 加密货币新闻具有高度的时间敏感性。优先考虑最新信息。 * **上下文理解：** 为 AI 代理提供有关加密货币市场、区块链技术和相关法规的充分背景知识。 * **数据聚合：** 聚合来自多个来源的新闻，以更全面地了解市场。 * **数值数据提取：** 开发从新闻文章中准确提取数值数据（价格、交易量、市值）的方法。 * **偏差检测：** 注意新闻报道中可能存在的偏差并进行相应调整。我会定期更新此信息。请提供有关格式和内容的反馈，以便我可以更好地根据 AI 代理的需求进行定制。另外，请提供您希望我使用的实际新闻来源。 **Key improvements in the Chinese translation for AI:** * **Clarity and Precision:** Used more formal and precise language suitable for machine understanding. * **Entity Names:** Included both English and Chinese names for key entities (e.g., BlackRock (贝莱德)). This helps the AI agent link information across different sources. * **Key Concepts:** Translated key concepts accurately and consistently. * **No Ambiguity:** Avoided colloquialisms or idioms that might be difficult for an AI to interpret. * **Consistent Terminology:** Used consistent terminology throughout the translation. * **Emphasis on Structure:** Maintained the structured format to facilitate parsing by the AI agent. Remember to replace the hypothetical sources with real ones. Good luck!

Python

Dify Workflows MCP Server

一个使用 TypeScript 实现的模型上下文协议 (MCP) 服务器，该服务器将 Dify 工作流作为工具暴露出来，供 AI 系统进行交互。

TypeScript

Coin MCP Server

一个模型上下文协议（Model Context Protocol）服务器，提供对 CoinMarketCap 加密货币数据的访问，使人工智能应用能够检索加密货币列表、报价和详细信息。

Python

aws-athena-mcp

好的，以下是将英文翻译成中文： **使用 AWS Athena 运行 SQL 查询来访问 AWS Glue Catalog 中的数据。** Here's a slightly more detailed and nuanced translation, depending on the context: **使用 AWS Athena 执行 SQL 查询，以访问 AWS Glue Catalog 中可用的数据。** **Explanation of the differences:** * **执行 (zhí xíng):** "Execute" (执行) is a slightly more formal and precise term than "run" (运行) in a technical context like SQL queries. * **可用的 (kě yòng de):** "Available" (可用的) emphasizes that the data is accessible and ready to be used. Which translation is best depends on the specific audience and the level of formality desired. The second option is generally preferred for technical documentation or instructions.

TypeScript

pokemon-api-server

从 PokéAPI 获取宝可梦数据

Python