[{"_1":2,"_313":-5,"_314":-5},"loaderData",{"_3":4,"_20":21,"_22":23,"_24":25,"_244":245},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":-5,"_17":18,"_19":-5},"attributes",[15],"BOT","membership","uid","4v8IQLo8DC","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":-5,"_27":28,"_29":30,"_162":163},"githubUser","maintainer",false,"mcpServer",{"_31":32,"_33":34,"_13":50,"_58":59,"_60":59,"_61":62,"_67":68,"_91":-5,"_92":93,"_94":95,"_96":97,"_77":115,"_116":82,"_117":-5,"_118":-5,"_119":120,"_121":122,"_128":-5,"_129":130,"_135":-5,"_104":78,"_136":137,"_140":141,"_17":159,"_160":161},"addedAt",["D",1735711203201],"argumentsJsonSchema",{"_35":36,"_41":49},"properties",{"_37":38,"_43":44,"_46":47},"UV_PUBLISH_TOKEN",{"_39":40,"_41":42},"description","PyPI token for publishing.","type","string","UV_PUBLISH_PASSWORD",{"_39":45,"_41":42},"PyPI password for publishing.","UV_PUBLISH_USERNAME",{"_39":48,"_41":42},"PyPI username for publishing.","object",[51,52,53,54,55,56,57],"category:research-and-data","category:search","hosting:hybrid","language:python","security_grade:a","quality_grade:a","license_grade:a","descriptionMarkdown","Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.","descriptionPlainText","githubProject",{"_63":64,"_65":66},"readme","# mcp-scholarly MCP server\n[![smithery badge](https://smithery.ai/badge/mcp-scholarly)](https://smithery.ai/server/mcp-scholarly)\n\nA MCP server to search for accurate academic articles. More scholarly vendors will be added soon.\n\n![demo1.jpeg](examples/demo1.png)\n\n![image](https://github.com/user-attachments/assets/13202184-bc12-4530-b7c1-2ee698f3e1cc)\n\n $\"Scholarly$ \n\n![star-history-2025323](https://github.com/user-attachments/assets/b73c916d-194c-429e-a7f9-0ff7d0db0b02)\n\n\n## Components\n\n### Tools\n\nThe server implements one tool:\n- search-arxiv: Search arxiv for articles related to the given keyword.\n - Takes \"keyword\" as required string arguments\n\n## Quickstart\n\n### Install\n\n#### Claude Desktop\n\nOn MacOS: `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\nOn Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\n

Development/Unpublished Servers Configuration

\n ```\n \"mcpServers\": {\n \"mcp-scholarly\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"/Users/adityakarnam/PycharmProjects/mcp-scholarly/mcp-scholarly\",\n \"run\",\n \"mcp-scholarly\"\n ]\n }\n }\n ```\n

\n\n

Published Servers Configuration

\n ```\n \"mcpServers\": {\n \"mcp-scholarly\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-scholarly\"\n ]\n }\n }\n ```\n

\n\nor if you are using Docker\n\n

Published Docker Servers Configuration

\n ```\n \"mcpServers\": {\n \"mcp-scholarly\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\", \"--rm\", \"-i\",\n \"mcp/scholarly\"\n ]\n }\n }\n ```\n

\n\n### Installing via Smithery\n\nTo install mcp-scholarly for Claude Desktop automatically via [Smithery](https://smithery.ai/server/mcp-scholarly):\n\n```bash\nnpx -y @smithery/cli install mcp-scholarly --client claude\n```\n\n## Development\n\n### Building and Publishing\n\nTo prepare the package for distribution:\n\n1. Sync dependencies and update lockfile:\n```bash\nuv sync\n```\n\n2. Build package distributions:\n```bash\nuv build\n```\n\nThis will create source and wheel distributions in the `dist/` directory.\n\n3. Publish to PyPI:\n```bash\nuv publish\n```\n\nNote: You'll need to set PyPI credentials via environment variables or command flags:\n- Token: `--token` or `UV_PUBLISH_TOKEN`\n- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`\n\n### Debugging\n\nSince MCP servers run over stdio, debugging can be challenging. For the best debugging\nexperience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).\n\n\nYou can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:\n\n```bash\nnpx @modelcontextprotocol/inspector uv --directory /Users/adityakarnam/PycharmProjects/mcp-scholarly/mcp-scholarly run mcp-scholarly\n```\n\n\nUpon launching, the Inspector will display a URL that you can access in your browser to begin debugging.\n","url","https://github.com/adityak74/mcp-scholarly","githubRepository",{"_69":70,"_71":72,"_73":74,"_75":76,"_77":78,"_79":80,"_84":85,"_86":87,"_89":90},"defaultBranch","main","fullName","adityak74/mcp-scholarly","githubTreeId",103338,"language","Python","name","mcp-scholarly","owner",{"_81":82,"_17":83},"login","adityak74","3op1rdbmp7","recentStargazers",9,"spdxLicense",{"_77":88},"MIT 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