Enigmata MCP provides AI clients with secure access to personalized Enigmata astrological forecasts, including day, week, month, and thematic forecast contexts. Forecasts contain the percentage of favorability of any day and the probability of any event. It helps assistants retrieve structured guidance, compare forecast periods, search themes, check profile readiness, and complete required solar-location setup when needed. Tools get_mcp_capabilities - Returns metadata about the available Enigmata MCP tools and their capabilities. get_day_forecast - Returns an AI-friendly personalized day forecast. get_day_forecast_section - Returns a specific section of a day forecast, useful when a client needs smaller responses. get_week_forecast - Returns an AI-friendly personalized week forecast. get_month_forecast - Returns an AI-friendly personalized month forecast. get_theme_forecast - Returns a forecast for a selected theme, including favorability or probability context. get_theme_best_days - Returns the best days for a selected forecast theme. compare_theme_days - Compares two dates for a selected theme without returning the full theme calendar. get_theme_probability_trends - Returns the subscription-period probability trend for a selected theme. get_theme_catalog - Returns the user’s saved themes and popular available themes. search_themes - Searches forecast themes and returns ranked candidates for precise theme selection. compare_forecasts - Compares two day, week, month, or theme forecast contexts. get_profile_readiness - Returns the user’s profile and onboarding readiness for forecast access. get_solar_requirement - Checks whether a solar meeting city is required for the user’s forecast flow. search_cities - Searches cities that can be used as a solar meeting place. submit_solar_place - Submits the user’s solar meeting city when it is required to unlock or update forecasts.

Agent-first image hosting — upload images (base64 or URL), list, fetch, and delete; returns instant CDN URLs.

GitLab API, enabling project management

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

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Social media analytics, post insights, and competitor benchmarking for AI agents. Connect AI with social media intelligence across Facebook, X, Instagram, YouTube, LinkedIn, and TikTok.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

PatSnap Patent Legal Status & Annuity MCP is a Model Context Protocol server that connects AI agents to PatSnap's Patent Legal Status & Annuity capabilities. Focused on reviewing patent legal status, annuity status, and core legal documents. It supports annuity payment information, legal status, full text, specifications, claims, and citation-related signals to help determine whether a patent remains in force and whether there are title changes or lapse risks. It is suitable for maintenance management, transaction checks, licensing review, and due diligence.

Location services, directions, and place details

A hosted MCP server that turns PDFs into clean, LLM-ready Markdown, so AI agents can convert documents as a built-in tool: real Markdown tables, formulas as LaTeX, and OCR for scans. The same engine is also a REST API, a web app, a Chrome extension and a ChatGPT Custom GPT. It runs its own engines (MinerU + Docling), not an LLM wrapper. Connect at https://pdf2md.dev/api/v2/mcp with a Bearer API key; docs at https://pdf2md.dev/developers/#mcp

Web and local search using Brave's Search API

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

Compabase MCP is a Model Context Protocol server that gives AI assistants — Claude, Cursor, Windsurf, and any other MCP-compatible client — direct access to 3 million+ Polish companies from the KRS (National Court Register) and CEIDG registries.

Remote MCP server (Streamable HTTP) giving AI a real cloud file system + web scraping. One static Bearer token; 21 tools incl. chunked/resumable upload, download, list/search, full folder tree (create/move/rename/delete), shareable links, quota, and scrape_url (web page -> clean Markdown). Credit-based, free credits on signup.

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

Tlaloc's MCP server connects Claude, ChatGPT, and any AI assistant to official Mexican data: validate CURP (RENAPO) and RFC (SAT), look up postal codes (SEPOMEX) and phone carriers (IFT), and download/verify SPEI payment receipts (CEP, Banxico). 7 tools, Streamable HTTP, Bearer auth. Pay-per-call via SPEI — no card, no subscription. Si el campo es corto, usa la versión meta (~160c): Validate CURP, RFC, postal codes, phone numbers, and SPEI receipts (CEP) from official Mexican sources. Pay-per-call via SPEI, plus an MCP server for your AI assistant.

MCP Advisor & Installation - Use the right MCP server for your needs

A Serper MCP Server

One API for Search, Crawling, and Sitemaps

PatSnap IP & Innovation Courses MCP is a Model Context Protocol server that connects AI agents to PatSnap's IP & Innovation Courses capabilities. A one-stop learning entry for courses, course details, and training materials on IP and innovation. It helps teams build a structured understanding of patents, search, analysis, and business use while lowering the learning barrier for new users. It is useful for internal training, customer education, and knowledge enablement.

The project tracker for teams of humans and AI agents — in plain files. MCP server + CLI, zero dependencies.

MCP server to provide Figma layout information to AI coding agents like Cursor

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

Cryptographically signed vehicle identity records for AI agents operating in Colombia. Resolve any Colombian license plate into a Valid ID — signed with Ed25519, verifiable client-side, with SOAT, fines, and technical inspection status included.

An MCP server that provides a tool for sending transactional emails via Mailtrap

Retrieving and analyzing issues from Sentry.io

FlexOrch MCP converts unstructured business documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets via 6 async tools. Covers the full pipeline: classify → extract fields → mask PII → export JSONL or RAG chunks, with PII detection across 10+ locales (TR, DE, FR, US, UK and more).