[{"_1":2,"_228":-5,"_229":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_181":182},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"BOT","id",5484838,"membership","referenceId","01966a2d-e338-7990-8552-c441e333d0f7","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_28":-5,"_29":30,"_31":42,"_99":100,"_180":79},"availableLocales",[],"githubUser","locale",{"_31":32,"_35":39,"_40":41},"mcpServer",{"_33":34,"_35":36,"_37":38},"description","A Model Context Protocol server that provides a convenient interface for creating lipsynced videos by matching digital avatar videos with audio inputs.","name","Flyworks MCP","readme","# Flyworks MCP: Free & Fast Zeroshot Lipsync Tool\n

\n \n $\"Discord\"$ \n \n \n $\"Flyworks$ \n \n

\n\n### Overview\n\nThe Flyworks MCP is a Model Context Protocol (MCP) server that provides a convenient interface for interacting with the Flyworks API. It facilitates fast and free lipsync video creation for a wide range of digital avatars, including realistic and cartoon styles.\n\n### Demo\n\nInput avatar video (footage):\n

\n\nAudio clip with TTS saying `我是一个飞影数字人。Welcome to Flyworks MCP server demo. This tool enables fast and free lipsync video creation for a wide range of digital avatars, including realistic and cartoon styles.`:\n

\n\n\n\nGenerated lipsync video:\n

\n\n### Features\n\n- Create lipsynced videos using digital avatar video and audio as inputs\n- More features coming soon...\n\n### Requirements\n\n- Python 3.8+\n- Dependencies: `httpx`, `mcp[cli]`\n\n### Installation\n\n1. Clone this repository:\n ```bash\n git clone https://github.com/yourusername/flyworks-mcp.git\n cd flyworks-mcp\n ```\n\n2. Install dependencies:\n ```bash\n pip install httpx \"mcp[cli]>=1.6.0\"\n ```\n \n Or using `uv`:\n ```bash\n uv pip install httpx \"mcp[cli]>=1.6.0\"\n ```\n\n To avoid timeout issues during server startup, we recommend pre-installing all dependencies:\n ```bash\n pip install pygments pydantic-core httpx \"mcp[cli]>=1.6.0\"\n ```\n\n### Configuration\n\nSet your Flyworks API token as an environment variable:\n\n```bash\n# Linux/macOS\nexport FLYWORKS_API_TOKEN=\"your_token_here\"\n\n# Windows (Command Prompt)\nset FLYWORKS_API_TOKEN=your_token_here\n\n# Windows (PowerShell)\n$env:FLYWORKS_API_TOKEN=\"your_token_here\"\n```\n\nAlternatively, you can create a `.env` file.\n\n> **Note:** We offer free trial access to our tool with the token `2aeda3bcefac46a3`. However, please be aware that the daily quota for this free access is limited. Additionally, the generated videos will be watermarked and restricted to a duration of 45 seconds. For full access, please contact us at bd@flyworks.ai to acquire your token.\n\n### Usage\n\n#### Running the Server\n\nRun the `server.py` file directly:\n\n```bash\npython server.py\n```\n\n#### Integration with Claude or Other MCP Clients\n\n##### Using in Claude Desktop\n\n1. Install the server using the `mcp` tool:\n ```bash\n mcp install /path/to/server.py\n ```\n\n2. Add server configuration in Claude Desktop's configuration file:\n Edit the `claude_desktop_config.json` file and add the following:\n\n ```json\n {\n \"mcpServers\": {\n \"flyworks\": {\n \"command\": \"python\",\n \"args\": [\"/path/to/server.py\"],\n \"env\": {\n \"FLYWORKS_API_TOKEN\": \"your_api_token_here\"\n }\n }\n }\n }\n ```\n\n##### Using in Cursor\n\nAdd the following to the Cursor MCP configuration:\n\n```json\n{\n \"mcpServers\": {\n \"flyworks\": {\n \"command\": \"python\",\n \"args\": [\"/path/to/server.py\"],\n \"env\": {\n \"FLYWORKS_API_TOKEN\": \"your_api_token_here\"\n }\n }\n }\n}\n```\n\n### Tool Description\n\n#### 1. Create Lipsync Video (`create_lipsync_video`)\n\nCreate a digital avatar lipsync video. Inputs are a digital avatar video and an audio file, and the output is a lipsynced video with the same length as the audio.\n\n**Parameters**:\n- `video_url`: Video file URL, required for video-driven creation, supports mp4, mov formats\n- `audio_url`: Audio file URL, required for audio-driven creation, supports mp3, m4a, wav formats\n\n**Return**:\n- `job_id`: The job ID of the video creation\n\n#### 2. Inspect Job Status (`inspect_job_status`)\n\nQuery the video creation status. Returns the video URL for download if successful.\n\n**Parameters**:\n- `job_id`: Job ID, required. Returned when creating a work.\n\n**Response Parameters**:\n- `message`: String, error message returned when failed\n- `code`: Int, error code when failed\n- `status`: Int, job status, 1: Waiting, 2: Processing, 3: Completed, 4: Failed\n- `video_Url`: URL, the URL of the generated video. This is a temporary URL, please save it promptly. The URL contains query parameters, ensure compatibility when downloading.\n- `duration`: Int, duration of the video in seconds\n- `request_id`: String, request code\n\n### Notes\n\n- Job processing may take some time, please be patient\n- Video file URLs are temporary, please download and save them promptly\n\n### Related Links\n\n- [Flyworks AI Open Platform Documentation](https://api.lingverse.co/hifly.html)\n- [Model Context Protocol (MCP) Documentation](https://modelcontextprotocol.io/llms-full.txt)\n- [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk)\n","English","tag","en-US",{"_43":44,"_45":-5,"_13":46,"_48":34,"_49":34,"_50":51,"_54":55,"_76":-5,"_16":77,"_78":79,"_80":81,"_35":36,"_82":68,"_83":-5,"_84":-5,"_85":-5,"_86":-5,"_87":88,"_92":-5,"_93":64,"_94":-5,"_95":-5,"_69":96,"_97":98},"addedAt",["D",1745164904845],"argumentsJsonSchema",[47],"language:python","descriptionMarkdown","descriptionPlainText","githubProject",{"_37":38,"_52":53},"url","https://github.com/flyworks-ai/lipsync-mcp","githubRepository",{"_56":57,"_58":59,"_60":61,"_62":63,"_35":64,"_65":66,"_71":72,"_73":-5,"_74":75},"defaultBranch","main","fullName","Flyworks-AI/lipsync-mcp","githubTreeId",109133,"language","Python","lipsync-mcp","owner",{"_67":68,"_69":70},"login","Flyworks-AI","uid","NDPUy34xaT","recentStargazers",0,"spdxLicense","stargazers",1,"glamaJson",5727,"inspectable",false,"integrations",[],"namespace","npmPackage","prompts","redditPostForeignId","resources","scores",{"_89":-5,"_90":-5,"_91":-5},"license","quality","security","simpleIcon","slug","supportedPlatforms","tools","83ky8zlot5","updatedAt",["D",1745164913492],"meta",[101,104,106,113,116,118,121,124,127,130,133,135,138,141,143,145,147,149,151],{"_102":103},"title","Flyworks MCP | Glama",{"_105":34,"_35":33},"content",{"_107":108,"_109":110,"_111":112},"href","https://glama.ai/mcp/servers/@Flyworks-AI/lipsync-mcp","rel","canonical","tagName","link",{"_105":36,"_114":115},"property","og:title",{"_105":34,"_114":117},"og:description",{"_105":119,"_114":120},"https://glama.ai/logo.png","og:logo",{"_105":122,"_114":123},"https://glama.ai/mcp/servers/@Flyworks-AI/lipsync-mcp/og-image","og:image",{"_105":125,"_114":126},"630","og:image:height",{"_105":128,"_114":129},"1200","og:image:width",{"_105":131,"_114":132},"website","og:type",{"_105":108,"_114":134},"og:url",{"_105":136,"_114":137},"Glama – MCP Hosting Platform","og:site_name",{"_105":139,"_35":140},"summary_large_image","twitter:card",{"_105":136,"_35":142},"twitter:title",{"_105":34,"_35":144},"twitter:description",{"_105":122,"_35":146},"twitter:image",{"_105":125,"_35":148},"twitter:image:height",{"_105":128,"_35":150},"twitter:image:width",{"_152":153},"script:ld+json",{"_154":155,"_156":157},"@context","http://schema.org","@graph",[158],{"_154":159,"_160":161,"_162":163},"https://schema.org","@type","BreadcrumbList","itemListElement",[164,170,174,178],{"_160":165,"_166":167,"_35":168,"_169":75},"ListItem","item","https://glama.ai/","Glama","position",{"_160":165,"_166":171,"_35":172,"_169":173},"https://glama.ai/mcp","MCP",2,{"_160":165,"_166":175,"_35":176,"_169":177},"https://glama.ai/mcp/servers","Servers",3,{"_160":165,"_166":108,"_35":36,"_169":179},4,"visitorIsMaintainer","routes/_public/mcp/servers/~namespace/~slug/_pages/reviews/_route",{"_28":-5,"_31":183,"_99":192,"_227":-5},{"_43":184,"_45":-5,"_13":185,"_48":34,"_49":34,"_50":186,"_54":187,"_76":-5,"_16":77,"_78":79,"_80":189,"_35":36,"_82":68,"_83":-5,"_84":-5,"_85":-5,"_86":-5,"_87":190,"_92":-5,"_93":64,"_94":-5,"_95":-5,"_69":96,"_97":191},["D",1745164904845],[47],{"_37":38,"_52":53},{"_56":57,"_58":59,"_60":61,"_62":63,"_35":64,"_65":188,"_71":72,"_73":-5,"_74":75},{"_67":68,"_69":70},[],{"_89":-5,"_90":-5,"_91":-5},["D",1745164913492],[193,195,197,199,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215],{"_102":194},"Reviews | Flyworks MCP | Glama",{"_105":196,"_35":33},"Read community reviews and feedback for Flyworks MCP. Discover user experiences, ratings, strengths, and potential limitations of this MCP implementation from actual users.",{"_107":198,"_109":110,"_111":112},"https://glama.ai/mcp/servers/@Flyworks-AI/lipsync-mcp/reviews",{"_105":200,"_114":115},"Reviews | Flyworks MCP",{"_105":196,"_114":117},{"_105":119,"_114":120},{"_105":122,"_114":123},{"_105":125,"_114":126},{"_105":128,"_114":129},{"_105":131,"_114":132},{"_105":198,"_114":134},{"_105":136,"_114":137},{"_105":139,"_35":140},{"_105":136,"_35":142},{"_105":196,"_35":144},{"_105":122,"_35":146},{"_105":125,"_35":148},{"_105":128,"_35":150},{"_152":216},{"_154":155,"_156":217},[218],{"_154":159,"_160":161,"_162":219},[220,221,222,223,224],{"_160":165,"_166":167,"_35":168,"_169":75},{"_160":165,"_166":171,"_35":172,"_169":173},{"_160":165,"_166":175,"_35":176,"_169":177},{"_160":165,"_166":108,"_35":36,"_169":179},{"_160":165,"_166":198,"_35":225,"_169":226},"Reviews",5,"review","actionData","errors"]

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