Push model
pushUpload a local AI model to a registry for sharing or deployment. This tool enables model distribution within the Ollama MCP Server ecosystem.
Instructions
Push a model to a registry
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
Implementation Reference
- src/index.ts:108-115 (handler)Handler function that calls ollama.push(model: name) and formats the result or error response.
async ({ name }) => { try { const result = await ollama.push({ model: name }); return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] }; } catch (error) { return { content: [{ type: "text", text: `Error: ${formatError(error)}` }], isError: true }; } } - src/index.ts:103-107 (schema)Input schema defining the 'name' parameter as a string, along with title and description.
{ title: "Push model", description: "Push a model to a registry", inputSchema: { name: z.string() }, }, - src/index.ts:101-116 (registration)Registers the 'push' tool with the MCP server using server.registerTool.
server.registerTool( "push", { title: "Push model", description: "Push a model to a registry", inputSchema: { name: z.string() }, }, async ({ name }) => { try { const result = await ollama.push({ model: name }); return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] }; } catch (error) { return { content: [{ type: "text", text: `Error: ${formatError(error)}` }], isError: true }; } } );