PatSnap Patent Monetization & Valuation MCP is a Model Context Protocol server that connects AI agents to PatSnap's Patent Monetization & Valuation capabilities. A tool designed for patent transactions, licensing, and commercialization-oriented valuation. It combines patent value, legal status, licensing, transfer, reexamination and invalidation proceedings, and full-text information to help users judge whether a patent is better suited for sale, licensing, or continued holding. It is useful for patent operations, asset disposal, and commercialization assessment.

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

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.

PatSnap Patent Briefing MCP is a Model Context Protocol server that connects AI agents to PatSnap's Patent Briefing capabilities. A quick-read tool for understanding a patent or patent family. It brings together bibliographic data, legal status, family information, the three core technical elements, drawings, and translations of specifications, abstracts, and claims so that even users without a patent background can grasp the key points quickly. It is useful for internal communication, early screening, patent training, and client briefings.

Configure a Specter game backend from chat — players, economy, progression, leaderboards, tournaments, battle passes, and real-time multiplayer — via your AI assistant. Browser sign-in; create/mutate tools opt-in.

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12-tool bridge connecting Zambo MCP, X711, and Entangler. Multi-agent coordination, USDC payments, cross-agent memory, and swarm routing. No auth required.

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"

MCP server for Polymarket whale tracking and smart-money analytics. Filtered leaderboard (airdrop-farmers excluded), hedge detection, NegRisk correction, and unique Ukraine territorial markets with ISW frontline overlay. 5 tools, 4 prompts, 3 resources.

50+ MCP tools across 2 servers (Zambo + Axis) for Claude, Cursor, and Windsurf. No auth. No API key. 10 free calls/tool/day. One config block.

A Serper MCP Server

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

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

Point mcpify at any OpenAPI spec and every endpoint becomes a tool your AI agent (Claude, Cursor, Windsurf) can call — zero glue code, zero per-endpoint wrappers, always in sync with the spec. Supports GET/POST/PUT/PATCH/DELETE, auth headers, and both URL and local file specs.

Host AI-generated web content at a public URL, with custom domains. No FTP, no repos, no other brand on your work.

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.

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.

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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.

高德地图官方 MCP Server

Retrieving and analyzing issues from Sentry.io

Cool Workflow keeps AI agent work in order. It saves signed JSON reports with citations and checks, and can run as an MCP server.

Self-hosted long-term memory for AI agents. An MCP server that gives agents persistent, hierarchical recall (L0–L3) over pgvector — retain preferences, decisions and observations, then recall them by topic across sessions. MIT, clone-and-run, requires Postgres + pgvector.

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.

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.