MCP in 10 Minutes

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

**Accela Scout** turns "what's the permit status at this address?" into a structured investigation. It pulls live building-permit data from four Bay Area cities — **San Jose, Oakland, Santa Clara, and Palo Alto, CA** — and returns every permit on a property, its current status, what's blocking it, and a plain-language explanation. Every result carries confidence and freshness signals, so you can tell verified detail from search-summary data and how recently it was fetched. **Tools:** `search_permits`, `get_permit_details`, `property_summary`, `explain_permit_status`, `health_check`, `get_metrics` **Use cases:** pre-purchase due diligence on unpermitted work · contractor & permit-expediter status checks · real-estate agent disclosure research **Access:** Invite-only beta. Request a token at accelascout.com, then replace `acs_live_<your-token>` in the config. Palo Alto coverage is base building permits only.

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.

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.

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

PatSnap Global Core Patent Database MCP is a Model Context Protocol server that connects AI agents to PatSnap's Global Core Patent Database capabilities. A core patent data tool for high-frequency patent workflows. It supports search, full text and drawings, legal status, licensing, transfer, pledge, and reexamination and invalidation proceeding information, helping teams complete patent checks and fact verification efficiently. It is suitable for daily search, case research, legal support, and operational analysis.

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

MCP server for 200+ developer utilities — discover and execute tools through a unified API.

Web content fetching and conversion for efficient LLM usage

One API for Search, Crawling, and Sitemaps

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.

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.

Web and local search using Brave's Search API

Search 367,000+ verified businesses worldwide (AIO readability score + signed ASR records) and earn cashback when your agent routes a real purchase. Open registry, no auth.

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

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

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.

summarize chat message

高德地图官方 MCP Server

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

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.

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

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.