Separating server files

README.md

@@ -1,6 +1,18 @@
 # TSMCP
 
-
+## Config file must be a json in format:
+```json
+{
+    "mcpServers": {
+        "serverName": {
+            "command": "node",
+            "args": [
+                "C:\\PATH\\TO\\PARENT\\FOLDER\\servername\\build\\index.js"
+            ]
+        }
+    }
+}
+```
 
 ## use inspector to test mcp server
 https://www.npmjs.com/package/@modelcontextprotocol/inspector

package.json

@@ -1,5 +1,6 @@
 {
 	"type": "module",
+	
 	"scripts": {
 		"inspector": "npx @modelcontextprotocol/inspector tsx src/main.ts"
 	},
@@ -8,6 +9,8 @@
 		"zod": "^3.24.2"
 	},
 	"devDependencies": {
-		"tsx": "^4.19.3"
+		"@types/node": "^22.14.0",
+		"tsx": "^4.19.3",
+		"typescript": "^5.8.3"
 	}
 }

src/config/servers.json

@@ -0,0 +1,5 @@
+{
+  "mcpServers": {
+    
+  }
+}

src/main.ts

@@ -1,5 +1,7 @@
 import { McpServer, ResourceTemplate } from "@modelcontextprotocol/sdk/server/mcp.js";
 import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
+import { MCPTools } from "@tools/MCPTools.js";
+import { ollamaTool } from "@tools/ollama.tool.js";
 import { z } from "zod";
 
 // Create an MCP server
@@ -8,6 +10,8 @@ const server = new McpServer({
   version: "1.0.0"
 });
 
+const serverTools = new MCPTools(server);
+
 // Add an addition tool
 server.tool("add",
   { a: z.number(), b: z.number() },
@@ -16,66 +20,9 @@ server.tool("add",
   })
 );
 
-// Adiciona uma ferramenta que se comunica com o Ollama
+serverTools.registerTool(ollamaTool)
-server.tool("ollama",
-  { 
-    prompt: z.string(),
-    model: z.string().default("llama3"),
-    options: z.object({
-      temperature: z.number().min(0).max(2).optional().default(0.7),
-      max_tokens: z.number().optional().default(500)
-    }).optional().default({})
-  },
-  async ({ prompt, model, options }) => {
-    try {
-      console.log(`Enviando para Ollama: modelo=${model}, prompt="${prompt.substring(0, 30)}..."`);
 
-      // A API do Ollama espera os parâmetros no corpo da solicitação
-      // e não dentro de um objeto options separado
-      const response = await fetch("http://localhost:11434/api/generate", {
-        method: "POST",
-        headers: {
-          "Content-Type": "application/json",
-        },
-        body: JSON.stringify({
-          model: model,
-          prompt: prompt,
-          stream: false,
-          temperature: options.temperature,
-          num_predict: options.max_tokens
-          // Remova o objeto options aninhado
-        }),
-      });
 
-      if (!response.ok) {
-        const error = await response.text();
-        console.error(`Erro na resposta do Ollama: ${error}`);
-        return {
-          content: [{ type: "text", text: `Erro ao chamar Ollama: ${error}` }]
-        };
-      }
-
-      const data = await response.json();
-      console.log("Resposta recebida do Ollama");
-      
-      if (!data.response) {
-        console.error("Formato de resposta inesperado:", data);
-        return {
-          content: [{ type: "text", text: `Erro: formato de resposta inesperado do Ollama` }]
-        };
-      }
-      
-      return {
-        content: [{ type: "text", text: data.response }]
-      };
-    } catch (error) {
-      console.error(`Erro na comunicação com Ollama:`, error);
-      return {
-        content: [{ type: "text", text: `Erro ao conectar com Ollama: ${error.message}` }]
-      };
-    }
-  }
-);
 
 // Add a dynamic greeting resource
 server.resource(

src/server/mcpServer.ts

@@ -0,0 +1,19 @@
+import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
+import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
+import { version } from "os";
+import { z } from "zod";
+
+
+const server = new McpServer({
+  name: "DatabaseServer",
+  version: "0.0.1",
+  capabilities: {
+    resources: {},
+    tools: {}
+  }
+})
+
+async function main() {
+  const transport = new StdioServerTransport();
+  await server.co
+}

src/tools/MCPTools.ts

@@ -0,0 +1,20 @@
+import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
+import { Tool } from "@modelcontextprotocol/sdk/types.js";
+
+
+export class MCPTools {
+
+  constructor(private readonly server: McpServer) {
+
+  }
+
+  registerTool(toolFactory: () => { name: string, schema: any, handler: any }) {
+    const tool = toolFactory();
+    this.server.tool(tool.name, tool.schema, tool.handler);
+  }
+
+  removeTool() {
+
+  }
+}
+

src/tools/ollama.tool.ts

@@ -0,0 +1,64 @@
+import {z} from "zod"
+
+export function ollamaTool() {
+  return {
+    name: "ollama",
+    schema: { 
+        prompt: z.string(),
+        model: z.string().default("gemma3:4b"),
+        options: z.object({
+          temperature: z.number().min(0).max(2).optional().default(0.7),
+          max_tokens: z.number().optional().default(4000)
+        }).optional().default({})
+      },
+      handler: async ({ prompt, model, options }, extra) => {
+        try {
+          console.log(`Enviando para Ollama: modelo=${model}, prompt="${prompt.substring(0, 30)}..."`);
+          
+          const response = await fetch("http://localhost:11434/api/generate", {
+            method: "POST",
+            headers: {
+              "Content-Type": "application/json",
+            },
+            body: JSON.stringify({
+              model: model,
+              prompt: prompt,
+              stream: false,
+              temperature: options.temperature,
+              num_predict: options.max_tokens
+            }),
+          });
+    
+          if (!response.ok) {
+            const error = await response.text();
+            console.error(`Erro na resposta do Ollama: ${error}`);
+            return {
+              content: [{ type: "text" as const, text: `Erro ao chamar Ollama: ${error}` }]
+            };
+          }
+    
+          const data = await response.json();
+          console.log("Resposta recebida do Ollama");
+          
+          if (!data.response) {
+            console.error("Formato de resposta inesperado:", data);
+            return {
+              content: [{ type: "text" as const, text: `Erro: formato de resposta inesperado do Ollama` }]
+            };
+          }
+          
+          return {
+            content: [{ 
+              type: "text" as const, 
+              text: data.response 
+            }]
+          };
+        } catch (error) {
+          console.error(`Erro na comunicação com Ollama:`, error);
+          return {
+            content: [{ type: "text" as const, text: `Erro ao conectar com Ollama: ${error.message}` }]
+          };
+        }
+      }
+  }
+}

tsconfig.json

@@ -1,5 +1,18 @@
 {
   "compilerOptions": {
-    "module": "ESNext"
+    "target": "ES2022",
+    "module": "Node16",
+    "moduleResolution": "Node16",
+    "baseUrl": ".",
+    "rootDir": "./src",
+    "outDir": "./build",
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "paths": {
+      "@tools/*": ["src/tools/*"]
+    }
   },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules"]
 }