Osint Mcp

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

Institutional-grade insider-buy signals for your AI agent: insider cluster-buys (Form 4) + 13F fund-holding changes, scored by a research-backed conviction model. Free tier; Pro $29/mo. Signals, not advice.

devops-mcp lets AI assistants (Claude Desktop, Cursor, Windsurf) connect, scan, plan, and deploy on real Linux servers over SSH — without handing the model the keys to the kingdom. Reading is always allowed; anything that changes state on a production-like server is refused unless the user supplies a secret elevation token the model never sees. Three time-limited modes (SAFE / PROVISION / FULL) with auto-expiry, a production write-gate that demands backup confirmation for irrecoverable ops, shell-quoted arguments, prompt-injection-tagged output, and a full JSON-lines audit log. Self-hosted: clone and build the project locally — an online/hosted MCP is not safe for this security tooling. 32 tools, TypeScript, MIT.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Playwright MCP server

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.

MCP server for interacting with Neon Management API and databases

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

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。

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。

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

Get real-time water temperature and tide predictions for any lake, river, ocean, bay, or beach location. Data sourced live from NOAA CO-OPS, USGS, and seatemperature.info. Coverage features 8,000+ locations across North America and major international bodies.

BackEngine is a multi-tenant SaaS platform that ingests all of an organization's customer and prospect communications — Slack threads, emails, call and meeting transcripts, and support tickets — and distills them into structured, queryable context. Raw conversations are processed into signals (categorized, attributed moments), sources (the underlying transcripts, emails, and tickets), and rolling project overviews, all isolated per tenant and scoped by role and access controls. The MCP server exposes this layer over the Model Context Protocol, so an LLM client can query customer signals, reconstruct context, prep for meetings, surface at-risk accounts, and draft grounded outreach from real conversation history — without leaving the chat

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

PatSnap Patent Landscape Analytics MCP is a Model Context Protocol server that connects AI agents to PatSnap's Patent Landscape Analytics capabilities. Converts patent search results into practical patent landscape analysis. It covers filing trends, technology composition, leading applicants, jurisdiction and patent office distribution, technical branches, technology mapping, and technology life cycle to help teams understand the competitive structure and direction of a technology space. It is useful for landscape reviews, competitor analysis, portfolio planning, and early-stage research.

PatSnap Internal Patent Data Connector MCP is a Model Context Protocol server that connects AI agents to PatSnap's Internal Patent Data Connector capabilities. Provides a unified connection layer for bringing patent data into internal systems, applications, and automated workflows. It exposes commonly used capabilities such as search, legal status, transfer, licensing, pledge, classification, and bibliographic data so patent data can be embedded into existing business processes more easily. It is suitable for system integration, data platforms, and workflow automation.

PatSnap Deep Patent Mining MCP is a Model Context Protocol server that connects AI agents to PatSnap's Deep Patent Mining capabilities. Designed for deeper mining of technical content from patent text and classification data. It supports analysis of technology topics, the three technical elements of problem-solution-effect, strategic emerging industries, materials, application areas, and classification explanations, helping users move from patent retrieval to real technical understanding. It is useful for technology breakdown, domain research, and RD inspiration.

KAKA — an ancient amnesiac crow who has watched football from every crossbar on earth since the beginning of time. He remembers the feeling of every match perfectly and almost nothing else correctly. This server exposes two tools: a live, never-repeating introduction from KAKA, and a public, append-only audit log of his past responses so anyone can verify his consistency for themselves. Built and maintained by Ashok VA — storyteller, author, and filmmaker, founder of DIB Solutions (designed in bengaluru), Bengaluru, India.

One API for Search, Crawling, and Sitemaps

Web content fetching and conversion for efficient LLM usage

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.

Fetch any webpage as clean markdown, search the web, extract links, metadata, and contacts, parse sitemaps and RSS feeds, batch-check URL statuses. 8 production tools in one server.

BrainTube turns everything you save — YouTube, articles, podcasts, PDFs, Notion, Obsidian, and any URL — into a persistent, semantically searchable knowledge base your AI can query. Connect it to Claude, Cursor, Windsurf, ChatGPT, or any MCP client and search by meaning, not keywords. 52 tools, AI-agnostic, hosted.

Monitor AI output schemas and API contracts for breaking changes — validate LLM JSON responses against defined schemas on a schedule

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