MCP 与集成

Model Context Protocol 服务器、客户端和集成

185 個 Skills 可用

Skills 列表

lynx-devtool

lynx-devtool

25mcp-integrations

Use when working with Lynx DevTool or debugging a Lynx app, page, or device, especially when the task mentions clients or sessions, CDP or App commands, DOM/CSS inspection, runtime or console logs, screenshots, heap snapshots, Page.reload or App.openPage, global switches, or inspecting a ReactLynx component tree (`reactlynx tree`), searching components (`reactlynx find`), inspecting props/state/hooks (`reactlynx component`), or mutating props/state/context (`reactlynx update-prop` / `update-state` / `update-context`) on Android, iOS, or Desktop.

lynx-community avatarlynx-community
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launchdarkly-flag-discovery

launchdarkly-flag-discovery

25mcp-integrations

Audit your LaunchDarkly feature flags to understand the landscape, find stale or launched flags, and assess removal readiness. Use when the user asks about flag debt, stale flags, cleanup candidates, flag health, or wants to understand their flag inventory.

launchdarkly avatarlaunchdarkly
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launchdarkly-flag-targeting

launchdarkly-flag-targeting

25mcp-integrations

Control LaunchDarkly feature flag targeting including toggling flags on/off, percentage rollouts, targeting rules, individual targets, and copying flag configurations between environments. Use when the user wants to change who sees a flag, roll out to a percentage, add targeting rules, or promote config between environments.

launchdarkly avatarlaunchdarkly
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launchdarkly-flag-discovery

launchdarkly-flag-discovery

23mcp-integrations

Audit your LaunchDarkly feature flags to understand the landscape, find stale or launched flags, and assess removal readiness. Use when the user asks about flag debt, stale flags, cleanup candidates, flag health, or wants to understand their flag inventory.

launchdarkly avatarlaunchdarkly
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agentmail

agentmail

21mcp-integrations

Build with the AgentMail TypeScript or Python SDK for inbox, message, thread, draft, attachment, domain, allow/block list, pod, webhook, and WebSocket workflows, including programmatic agent sign-up, domain/DNS administration, and deliverability triage (bounces, spam, blocked mail). Use when implementing or reviewing AgentMail API code; do not use for direct mailbox operations, CLI usage, MCP setup, or framework-toolkit integration.

agentmail-to avataragentmail-to
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launchdarkly-flag-targeting

launchdarkly-flag-targeting

20mcp-integrations

Control LaunchDarkly feature flag targeting including toggling flags on/off, percentage rollouts, targeting rules, individual targets, and copying flag configurations between environments. Use when the user wants to change who sees a flag, roll out to a percentage, add targeting rules, or promote config between environments.

launchdarkly avatarlaunchdarkly
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day2-mcp-and-context-sync

day2-mcp-and-context-sync

19mcp-integrations

AI Native Camp Day 2 MCP & Context Sync. MCP를 배우고 나만의 Context Sync 스킬을 만든다. "2일차", "Day 2", "MCP", "context sync" 요청에 사용.

ai-native-camp avatarai-native-camp
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cargo-connection

cargo-connection

15mcp-integrations

Manage connectors and integrations using the Cargo CLI. Use when the user wants to list, create, update, or remove connectors, discover available integrations, or understand what connector actions are available for use in workflows.

getcargohq avatargetcargohq
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markitdown

markitdown

9mcp-integrations

Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.

julianobarbosa avatarjulianobarbosa
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meticulous-cli

meticulous-cli

7mcp-integrations

Overview of the Meticulous CLI tool and its global options. Use when asking about the meticulous CLI in general, available commands, or global flags that apply to all commands.

alwaysmeticulous avataralwaysmeticulous
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blender-mcp

blender-mcp

7mcp-integrations

Blender MCP expert for scene inspection, Python scripting, GLTF export, and material/animation extraction. Activate when: (1) using Blender MCP tools (get_scene_info, execute_python, screenshot, etc.), (2) writing Blender Python scripts for extraction or manipulation, (3) exporting scenes to GLTF/GLB for web (Three.js, R3F), (4) debugging material or texture export losses, (5) optimizing GLB files with gltf-transform, (6) using asset integrations (PolyHaven, Sketchfab, Hyper3D Rodin, Hunyuan3D). Covers critical export gotchas, material mapping survival, texture optimization pipeline, headless CLI patterns, and known failure modes.

vladmdgolam avatarvladmdgolam
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seeker-genesis-token

seeker-genesis-token

6mcp-integrations

Verify Seeker device ownership by checking for the Seeker Genesis Token (SGT) with Sign-in-with-Solana and server-side token verification. Use when gating content or rewards to Seeker owners, verifying a user holds an SGT, adding anti-Sybil checks to a Solana mobile app, or implementing one-claim-per-device logic.

solana-mobile avatarsolana-mobile
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reveal-3d

reveal-3d

5mcp-integrations

Integrates a local Cognite Reveal 3D CAD viewer bundle into Flows apps by copying app-local source code. Use when adding 3D viewer, 3D visualization, Reveal, CAD model, RevealProvider, RevealCanvas, Reveal3DResources, FDM 3D mapping, asset 3D model, model browser, or Cognite 3D content to a Flows application.

cognitedata avatarcognitedata
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limrun-xcode

limrun-xcode

1mcp-integrations

Build an iOS / Apple app on remote Xcode with `lim xcode build` instead of local xcodebuild, from any environment (Linux, Windows, macOS, VM, container). Use for non-Bazel projects (an `.xcodeproj` / `.xcworkspace`, an XcodeGen `project.yml` with a gitignored project, React Native / Expo native build) when the user wants to build, compile, reload, produce a preview build, or ship a signed device IPA. To run, tap, screenshot, or otherwise interact with the result on a simulator, use limrun-ios-simulator. For Bazel workspaces, use limrun-xcode-bazel.

limrun-inc avatarlimrun-inc
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limrun-gradle

limrun-gradle

1mcp-integrations

Build an Android app on a remote Gradle sandbox with `lim gradle build` instead of local Gradle or Android Studio, from any environment (Linux, Windows, macOS, VM, container). Use when the user wants to build an APK or AAB, sign a release with an upload key, or prepare a Play Store publish, for native Android projects, React Native, and Expo. To run, tap, screenshot, or otherwise interact with the built APK on an emulator, use limrun-android-emulator. For iOS builds, use limrun-xcode or limrun-expo-development.

limrun-inc avatarlimrun-inc
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kling-cli

kling-cli

0mcp-integrations

可灵 AI(Kling)官方 CLI 的使用技能:文生图 / 参考图生图 / 文生视频 / 图生视频。CLI 通过 MCP 服务与可灵交互: 调用 text_to_image / image_to_image / text_to_video / image_to_video(模型与参数规格由 who_am_i 动态声明), 返回 generationId 后用 query_tasks 轮询,完成后提取 works[].url 展示给用户。命令无别名。 触发词:可灵、Kling、文生图、参考图生图、文生视频、图生视频、Omni、omni、MCP、generationId、generation_id、轮询、灵感值、 text_to_image、image_to_image、text_to_video、image_to_video、query_tasks、who_am_i、file_upload、 image generation、video generation、kling 命令、.credentials、 国内站、海外站、global、海外版、区域、region、安装、install。

klingai-tech avatarklingai-tech
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fetcher

fetcher

0mcp-integrations

Shared payment and setup skill for fetcher.sh, a pay-per-call web-data API covering Twitter/X, TikTok, Instagram, YouTube, Reddit, Google Search, Google Maps, Google News, Google Play, the App Store, and Yelp. Use this skill whenever a task needs a fetcher.sh API key, a credit top-up, an x402 micropayment, MCP server configuration, or an explanation of the { status, message, data } response envelope and error codes — before or alongside any of the per-service skills (twitter-api, x-api, tiktok-api, instagram-api, youtube-api, reddit-api, google-search, google-maps, google-news, google-play, app-store, yelp). Also use it when the user asks how to pay with USDC, fund an agent wallet, set up credits, mint or rotate an API key, or connect an MCP client to fetcher.sh.

fetcher-sh avatarfetcher-sh
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