Servidor MCP para SmileAPI

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

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CivilQuants computes audit-traceable Bills of Quantities for civil-engineering assemblies — culverts, manholes, retaining walls, pavements, drainage, earthworks — across four UK measurement standards. Parametric inputs in; a methodology-structured BoQ with every quantity traceable to its formula out, exportable to Excel, DXF (CAD) and PDF.

MCP server for AI image generation, video generation, music creation, text-to-speech, and LLM chat. 130+ models from Flux, Kling, Seedance, Veo, Suno, ElevenLabs, Claude, GPT, Gemini, and more. Browse models, check pricing, create tasks, and poll results. Free model discovery without API key. Works with Claude Code, Cursor, Codex, Windsurf, and any MCP host.

FinanceGenius.AI is India's first AI-native financial product MCP server. 15 read-only tools that any MCP-compatible AI client (Claude Desktop, Cursor, Continue, etc.) can use to: • Search Indian credit cards, personal/home/car loans, fixed deposits, mutual funds, and insurance from major Indian institutions • Compare 2-4 products side-by-side with diff tables • Run calculators: EMI (with amortization), SIP, CAGR, FD maturity, Indian income tax (FY 2025-26, old vs new regime) • Get live NSE/BSE stock quotes by symbol or popular stocks dashboard • Look up AMFI mutual fund NAVs by scheme code • Get plain-language explainers of Indian financial concepts via hybrid-RAG over product brochures + regulatory guides + live product DB • Find the best FD by net-of-tax yield for a given tenure + tax slab • Find the best credit card for a given spending pattern Free, no auth, rate-limited at the edge. Bias-disclosed: FinMall.AI earns the same trail commission across all products listed; rankings are user-economics first, no pay-to-rank. Powered by FinMall.AI — India's AI-native financial marketplace.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Build better interfaces with TypeUI design systems, UI prompts, and layout variations.

Retrieving and analyzing issues from Sentry.io

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. The deployment is IP-first and free; attaching a custom domain with HTTPS is an optional later step. The connector can register the user, recommend a VPS, run and monitor the full deploy, and answer questions about the project via get_project_info.

Reads a company public site to flag the CRM, sequencer, and marketing automation it runs, with per-tool booleans for HubSpot, Salesforce, Apollo, Gong, Intercom, and Marketo. Part of the Mamba Labs signal toolkit.

A Go MCP server that indexes .md/.docx/.html/.pdf into a searchable knowledge graph and runs drift audits to flag stale, conflicting, or undocumented content — letting agents govern documents like code.

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

Kubernetes on the cheapest managed compute available — run Rackspace Spot from your AI agent.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Appendix turns any AI health conversation into a board-certified physician's opinion — with a real prescription when clinically appropriate. Search medical literature and submit a clinical encounter for review, all from your agent.

Enable AI agents such as Claude, Co-Pilot, Codex, and other compatible tools to create, manage, and optimize advertising campaigns on ChatGPT.

At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search. Bittlebits has a Model Context Protocol (MCP) integration that lets you bring your GEO scores and rewrite suggestions directly into AI agents — whether you're using Claude Code in your terminal, GitHub Copilot in your IDE, or an AI web app, instead of copying content back and forth, AI can read exactly what Bittlebits recommends and help you apply those changes, including writing them directly into your codebase.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

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Channel management and messaging capabilities

GrantIQ lets ChatGPT and Claude find UK & EU grants you can actually win. It checks eligibility before recommending, explains why each grant fits, and cites the funder's own page on every answer — with an honest "competition_risk: unknown" when the data isn't there. Free to install. 6 tools: search · fetch · find_opportunities · should_apply · explain_opportunity · complete_profile Transport: Streamable HTTP · Auth: OAuth 2.1 + PKCE (free tier, no card) Install (Claude): claude mcp add --transport http grantiq https://grantiq.co.uk/mcp

One call merges hiring intent and tech-stack detection into a single composite GTM score with a recommended next action. Part of the Mamba Labs signal toolkit.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

62(and growing) read-only diagnostic tools that let Claude inspect your Linux fleet without touching it. Files, systemd, performance, networking, processes, disks, kernel, packages, Docker — each a hardened wrapper around a command you already trust, run over your own SSH config. Read-only by construction: there is no code path that restarts a service, edits a file, installs a package, or runs anything that mutates state. Every argument is validated and shell-quoted, flag injection is killed by per-tool whitelists, and hosts can be pinned to an allowlist. Point it at production and sleep. Run any tool on one host, or pass a list to fan out in parallel — bounded, with a hard 25-host ceiling so a curious model can't trigger an SSH storm. Why - Can't break anything — no mutate path exists. No restart, no edit, no install, no -exec. - Injection-hardened — shlex.quote everywhere, flag whitelists, NUL/newline rejection, host allowlist. - Your SSH, your rules — uses your ssh/agent or any wrapper (tsh ssh, jump hosts). Server never sees a credential. - Bounded — byte-capped output, per-call timeouts, capped multi-host fan-out. - Auditable — structured {stdout, stderr, exit_code, truncated} + optional JSONL logs with per-call IDs. Setup Python via uv. One mcpServers entry, tuned by env vars. Works with Claude Desktop and Claude Code.