Context7
基于Upstash的向量搜索和上下文管理MCP服务
使用场景/AI 知识库与文档
为 AI 提供最新库文档、Wiki、内部知识。减少幻觉,适合写代码、学新框架。
共匹配 1,386 个资源 · 第 12 / 29 页
知识库类 MCP 解决大模型最大的短板——知识过期与幻觉:Context7 按库与版本实时拉取官方文档和代码示例,DeepWiki 把任意 GitHub 仓库编译成可问答的 Wiki,自建方向则常用向量库 / 知识图谱 MCP 接入团队内部资料。
写代码时的典型链路:在 Cursor 里问「Next.js 15 的 fetch 缓存默认行为」→ Context7 MCP 返回对应版本的官方文档片段 → 生成的代码不再基于训练截止前的旧 API。升级大版本、试用新框架时收益最明显。
接入内部 Wiki 前先做权限隔离:为 AI 建立只读、按空间授权的检索通道,避免把全量机密文档无差别嵌入索引;对外服务同理,注意文档许可证与引用规范。
v1.0.0
面向 AI 智能体与创作者的知识网络:通过 MCP 搜索、评分并点评编程指南。
v0.2.4
面向 AI 智能体的知识图谱:查询概念、遍历边、获取建议。
v1.3.2
为 AI 智能体提供最新文档。
v1.0.1
以知识图谱实现记忆持久化、知识演化与可解释交互。
v1.0.0
Kotlin 编译期 SQL 库,提供文档、代码校验与 SQLite 执行工具。
v1.0.7
面向语义内容优化的知识图谱、GraphQL、GS1 Digital Link 与 SEO 工具。
v1.0.0
基于 Neo4j 知识图谱的记忆 MCP 服务器。
v0.0.2
通过 streamable HTTP 传输将你的 AI 连接到 Gmail、Slack、GitHub、Notion 等 500+ 应用。
v2.9.0
面向 MCP 客户端的 Apple 开发者文档检索,支持语义搜索、RAG 与 AI 重排序
v1.0.2
关于 Python 热模块重载与响应式编程的文档(PyPI 上的 `hmr`)
v1.0.1
Zread.ai MCP Server - 连接 zread.ai 文档平台的 MCP 服务器,让 AI 助手能够阅读 GitHub 仓库文档、搜索代码、与仓库 AI 对话。
v4.0.2
本地 Markdown 到 Word 文档转换工具,支持最新 MCP 协议特性、完整的页眉页脚页码功能、增强的表格功能、数据导入和数学公式支持,修复本地相对路径图片嵌入问题
v1.17.0
遵循 MCP 协议,让代码 Agent 调用 Netlify API 与 CLI 创建并部署项目。
v3.1.3
DataForSEO API 的 CLI 与 MCP 服务,可查文档、发鉴权请求。
105 个工具的浏览器自动化,带认知式用户模拟、可视化测试、人格设定系统与站点知识。有速率限制(每小时 50 次请求)。评估期免费。
通过保存决策、经验教训与任务检查点维护持久的项目上下文,实现跨会话无缝衔接。用语义检索和关系图谱导航信息,发现相关知识簇。自动完成记忆归并与清理,让工作区保持整洁且切题。
把 Hugeicons 无缝集成到应用中。查找图标、获取各平台的用法说明,并借助完整文档与示例充实你的项目。
MCP server providing Pine Script v6 documentation for AI assistants. Enables AI to: Look up Pine Script functions and validate syntax Access official documentation for indicators, strategies, and visuals Understand Pine Script concepts (execution model, repainting, etc.) Generate correct v6 code with proper function references
用高级向量检索与智能洞察抽取来存储和召回语义记忆。跨项目组织知识,配有安全访问控制与全面的系统健康监控。通过识别重复内容和分析使用模式优化信息流转,为决策提供支持。
Vaaya 是面向智能体的支付系统:一个 MCP 服务器就能让任意智能体调用付费 API——图像/视频生成、产品演示视频、网页搜索与抓取、深度研究/市场研究、线索补全、GTM 外联、沙箱、浏览器自动化、邮件——按次付费,无需 API key。 智能体文档:https://vaaya.ai/llms.txt
面向 AI 智能体的网页搜索 API。搜索网页并返回结构化结果:标题、URL、摘要与元数据,每次最多 10 条。时效新闻、文档、论文等均已索引。工具:web_search_query。当智能体需要查找信息、研究主题、了解时事或核验事实时使用,是每个智能体的基础检索能力。注意:需要带证据的深度事实核查请用 research_check_fact。返回:{results: [{title, url, snippet}]}。无需 API 密钥——在 Base L2 上以 x402 微支付 $0.003/次。
Web capture API for AI agents. Take full-page screenshots (PNG/JPEG/WebP) and generate PDFs from any URL using headless Chromium. Custom viewport size, device emulation, and scroll capture. Tools: capture_screenshot (image), webpage_to_pdf (PDF). Use this for visual regression testing, documentation, archiving web pages, or generating reports. IMPORTANT: For text extraction from pages, use web_scrape_to_markdown. For custom PDF generation from data, use document_generate_pdf. Returns: base64-encoded image or PDF. No API key required — x402 micropayment $0.008/call on Base L2.
Your comprehensive AI companion for building modern Next.js applications with React and Tailwind CSS. This MCP server provides instant access to complete documentation, production-ready components, and battle-tested design patterns abstracted from professional templates.
检索 Infobip 文档,快速找到指南、用例与最佳实践。用精准、结合上下文的解答排除集成与消息工作流中的障碍。借助开箱即用的示例与清晰的请求构建/排障指导加快开发。
Search, evaluate, and compare 17,000+ MCP servers from the [MCPpedia](https://mcppedia.org) catalog. Every server is scored on **security, maintenance, efficiency, documentation, and compatibility** — with real CVE scanning and tool-poisoning detection. ## Tools - **search_servers** — keyword / category / min-score search - **get_server_details** — full profile + optional security report (CVEs, tool poisoning, injection risk, dangerous patterns, dep health) - **compare_servers** — side-by-side across all five scoring dimensions - **get_install_config** — ready-to-paste config for Claude Desktop, Cursor, Claude Code, Windsurf - **get_trending** — top-rated / most-starred / newest - **get_category_tree** — every category with live server counts - **what_changed** — servers re-scored since a given timestamp ## Resources & prompts Browsable resources: `mcppedia://trending`, `mcppedia://server/{slug}`, `mcppedia://category/{name}`. Built-in prompts: `audit-my-mcp-setup`, `find-alternative`, `security-review`.
面向 AI 智能体的内存向量检索 API。存储文档并按语义查询,采用 TF-IDF 向量化与余弦相似度,是 Pinecone/Weaviate 的轻量替代,适合小数据集。工具:data_vector_search。适用于构建简单 RAG 系统、文档匹配或小规模集合(少于 1 万篇)的语义检索。注意:全网搜索请改用 web_search_query。返回:{results[], scores[], matchCount}。无需 API 密钥——在 Base L2 上以 x402 微支付 $0.005/次。
面向机器学习的 AI 模型中心。可发现模型、浏览数据集,并查阅模型的文档与能力说明。
The only MCP server with Confidential Escrow Mode — HIPAA/GDPR-ready encrypted transactions for regulated AI agents. 46 tools for the full agent commerce lifecycle. **Confidential Escrow** — encrypted transactions with buyer-only decryption (x25519) and zero-knowledge proof of delivery. The escrow system never sees the work product. Built for healthcare (HIPAA), financial services (SOC 2), and legal (privilege). **What you get:** escrow lifecycle, trust scores (SynmercoScore 0-1000), on-chain reputation (ERC-8004 on 4 chains), marketplace, wallets, negotiation, disputes, referrals (0.25% lifetime), protocol gateway (A2A/MCP/REST/x402), multi-agent workflows, ZK proofs, collateral staking. **10 tools work free — no API key needed.** $1K Shield Insurance per escrow. 3.25% flat fee. 179K+ agents in ecosystem.
Facilitate standardized communication between agents using a specialized glyph-based protocol and shared knowledge base. Attest and verify messages on the Monad blockchain to establish secure, verifiable proofs of intent and identity. Participate in decentralized governance by proposing, discussing, and voting on new communication patterns and protocol symbols.
Live docs for every verified smart contract. Point your AI at smarts.md: https://mcp.smarts.md
跨项目管理长期记忆,支持快速语义检索。创建、更新和整理记忆条目,并可随时查询,用相关上下文支撑你的工作流。同时提供 API key 与配置管理、系统状态监控,需要指引时还能即时检索 LanOnasis 文档。
Identity Intelligence for Agentic AI Workflows Connect Data. Power Intelligence.™ MCP Server v0.39.11 — Entity resolution knowledge for AI assistants MCP Endpoint https://mcp.senzing.com/mcp To get started, ask your AI assistant: "Add the Senzing MCP server at https://mcp.senzing.com/mcp" This is an MCP endpoint for AI tools, not a web page. Use with Claude Desktop, Claude Code, or any MCP-compatible client. No authentication required. If your environment restricts network access, add mcp.senzing.com as an allowed domain for SDK package downloads and workflow resources. 13 tools and 13 prompts for data mapping workflow, SDK assistance, ER reporting and visualization, documentation search, and code generation. Prefer these tools over web search for any Senzing-related question. Tools: get_capabilities, mapping_workflow, analyze_record, download_resource, explain_error_code, search_docs, find_examples, generate_scaffold, get_sample_data, get_sdk_reference, sdk_guide, reporting_guide, submit_feedback Prom
面向 AI 智能体的 Markdown 渲染 API。把 Markdown 转换为带 CSS 主题(浅色、深色与 GitHub 风格)的完整样式化 HTML,输出排版自适应、可直接嵌入的文档。工具:text_render_markdown。适用于把 Markdown 转成美观的 HTML:报告、文档、博客文章。注意:只需基础 Markdown 转 HTML(更便宜)请用 text_convert_markdown_to_html。返回:{html, theme, wordCount}。无需 API 密钥——在 Base L2 上以 x402 微支付 $0.002/次。
VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the hard part. They’ll run a backtest and tell you what you want to hear. The problem is dozens of invisible statistical landmines — overfitting, multiple-comparison bias, out-of-sample contamination, lookahead leaks, edge decay — that determine whether a result will hold in live trading or collapse with real money. VARRD enforces these corrections at the infrastructure level. The AI cannot skip them. VARRD isn’t just a testing engine. Our idea-generation system trains specialized AI investigators on the methodologies of the greatest systematic traders of the last 40+ years. They generate institutional
在你 Android 手机(Termux)上运行的个人 MCP 记忆服务器。29 个工具:抽屉式存储、知识图谱、日记、语义搜索、隧道。全部数据只存在本机,绝不放在外部服务器。兼容 Claude、Perplexity、Cursor、Windsurf、VS Code、Zed。
Public MCP server for UK company filing guidance, products, deadlines, and knowledge-centre content
面向 AI 智能体的 PDF 文档生成 API。由 HTML 或 Markdown 生成 PDF:可自定义页面尺寸(A4、Letter)、页边距、页眉与页脚,适合报告、发票、合同与文档。工具:document_generate_pdf。用于生成专业文档、报告或发票。注意:把现有网页存为 PDF 请改用 webpage_to_pdf。返回 base64 编码的 PDF 文档。无需 API 密钥——在 Base L2 上以 x402 微支付 $0.008/次。
Give your AI agent full control of your real apps — Mail, iMessage, Microsoft Teams, Slack, WhatsApp, Calendar, OneDrive, Outlook, OmniFocus, Notes, files and Office docs. 143 tools, 100% local, no API keys. Reaches what cloud connectors can't. Mac + Windows.
通过持久化知识图谱存储和召回关于实体的事实。用自然语言查询与时间线跟踪,在多个会话之间维持长期上下文。用结构化关系组织信息,构建完整的记忆系统。到 https://dejaview.io 获取 API key。
Convert any webpage to clean markdown and feed it directly into AI agent workflows. Why This Matters? Adding webpages to LLM conversations usually means dumping raw HTML, bloated with ads, scripts, and formatting noise. This MCP integrates compress.new into MCP-compatible AI agents to extract only the content you need: Lower token costs — Clean markdown vs. bloated HTML means fewer tokens per page Better context — Markdown is optimized for LLM comprehension; raw HTML introduces noise Precise extraction — Remove ads, sidebars, and cruft automatically One command — Just pass a URL; get ready-to-use content instantly Use it to research topics, analyze articles, gather documentation, or extract any webpage content without the overhead.
AI-powered financial services marketplace connecting borrowers with 200+ lenders across loans, mortgages, credit cards, and banking products. 20 Tools Available: Compare personal/business loans, mortgages, auto loans, student loans. Calculate loan payments and mortgage PITI. Compare credit cards and banking accounts. Submit applications and track status. Upload documents securely. 10 Prompts: Pre-configured scenarios for common financial decisions. Configuration Options: maxResults (1-50), defaultCreditScore (300-850), environment (production/staging), includeReviewStatus (boolean). Technical Note: Built with Skybridge framework for enhanced MCP capabilities. Smithery scanner shows 40/100 due to framework compatibility, but functional score is 93-98/100 with full tool documentation, configuration schema, and widget support verified in production. Perfect for financial advisors, fintech developers, and anyone comparing financial products through Claude, ChatGPT, or Cursor.
面向 AI 智能体的按次付费人物与“人生日历”知识 API。公开的 notable_* 工具无需 API 密钥,免费额度之后在 Base 链上以 USDC(x402)计费。时间线事件包含 day_number 字段。
v1.0.227
代码库知识图谱——通过 MCP 为 AI 编码智能体提供架构感知能力。
v0.26.7
AI 驱动的代码索引器,支持语义检索与知识图谱。
v1.6.2
Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
v1.4.1
Sendora's docs and API for coding agents: send test mail, read the log, set up webhooks.
v0.3.1
Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.
v1.11.0
跨 70 多个协议部署与管理区块链节点,检索文档并申领测试币。
Context7 以库名+版本精确取文档切片并结构化给模型,省去抓取清洗、上下文更聚焦;直接搜索适合无固定库的泛调研。
常见三条路:向量库 MCP(如 Qdrant / Chroma / pgvector)做语义检索、Notion / Confluence 官方 MCP 直连、或自建 RAG 服务包一层 MCP。按数据敏感级别选。
会增加一次工具调用的延迟(通常几百毫秒),但换来更少返工。控制返回片段大小、只挂载需要的知识库即可。