chore: new servers from popular github repo

mcp-registry/servers/arxiv-mcp.json

@@ -0,0 +1,186 @@
+{
+  "display_name": "ArXiv MCP Server",
+  "license": "MIT",
+  "tags": [
+    "arxiv",
+    "research",
+    "papers",
+    "academic",
+    "AI",
+    "search",
+    "MCP",
+    "Model Context Protocol"
+  ],
+  "installations": {
+    "uvx": {
+      "type": "uvx",
+      "command": "uv",
+      "args": [
+        "tool",
+        "run",
+        "arxiv-mcp-server",
+        "--storage-path",
+        "/path/to/paper/storage"
+      ],
+      "description": "Run arxiv-mcp-server using uv tool"
+    }
+  },
+  "examples": [
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Search for recent papers on transformer architecture in AI and machine learning"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Find papers about reinforcement learning published after 2023"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Download the paper with ID 2401.12345"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Show me a list of all downloaded papers"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Read the content of paper 2401.12345"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Search for papers on quantum computing in the last 2 years"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Analyze paper 2401.12345 using the deep-paper-analysis prompt"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Find papers by Geoffrey Hinton about deep learning"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Search for papers on large language models in cs.AI and cs.CL categories"
+    },
+    {
+      "title": "",
+      "description": "",
+      "prompt": "Download and summarize the most recent paper on diffusion models"
+    }
+  ],
+  "name": "arxiv-mcp",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/blazickjp/arxiv-mcp-server"
+  },
+  "homepage": "https://github.com/blazickjp/arxiv-mcp-server",
+  "author": {
+    "name": "blazickjp"
+  },
+  "description": "The ArXiv MCP Server provides a bridge between AI assistants and arXiv's research repository through the Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way.",
+  "categories": [
+    "Knowledge Base"
+  ],
+  "tools": [
+    {
+      "name": "search_papers",
+      "description": "Search for papers on arXiv with advanced filtering",
+      "inputSchema": {
+        "type": "object",
+        "properties": {
+          "query": {
+            "type": "string"
+          },
+          "max_results": {
+            "type": "integer"
+          },
+          "date_from": {
+            "type": "string"
+          },
+          "date_to": {
+            "type": "string"
+          },
+          "categories": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            }
+          }
+        },
+        "required": [
+          "query"
+        ]
+      }
+    },
+    {
+      "name": "download_paper",
+      "description": "Download a paper and create a resource for it",
+      "inputSchema": {
+        "type": "object",
+        "properties": {
+          "paper_id": {
+            "type": "string",
+            "description": "The arXiv ID of the paper to download"
+          },
+          "check_status": {
+            "type": "boolean",
+            "description": "If true, only check conversion status without downloading",
+            "default": false
+          }
+        },
+        "required": [
+          "paper_id"
+        ]
+      }
+    },
+    {
+      "name": "list_papers",
+      "description": "List all existing papers available as resources",
+      "inputSchema": {
+        "type": "object",
+        "properties": {},
+        "required": []
+      }
+    },
+    {
+      "name": "read_paper",
+      "description": "Read the full content of a stored paper in markdown format",
+      "inputSchema": {
+        "type": "object",
+        "properties": {
+          "paper_id": {
+            "type": "string",
+            "description": "The arXiv ID of the paper to read"
+          }
+        },
+        "required": [
+          "paper_id"
+        ]
+      }
+    }
+  ],
+  "prompts": [
+    {
+      "name": "deep-paper-analysis",
+      "description": "Analyze a specific paper in detail",
+      "arguments": [
+        {
+          "name": "paper_id",
+          "description": "arXiv paper ID",
+          "required": true
+        }
+      ]
+    }
+  ],
+  "resources": [],
+  "is_official": false
+}