@vicsee/mcp-server - npm Package Compare versions

Comparing version 0.1.1 to 0.2.0

dist/index.js

@@ -8,2 +8,4 @@ #!/usr/bin/env node
  */
+import { readFile } from 'node:fs/promises';
+import { extname } from 'node:path';
 import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
@@ -13,2 +15,39 @@ import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
 import { VicSeeClient, VicSeeError } from './vicsee-client.js';
+/**
+ * The VicSee API needs every image input as a PUBLIC https URL or an inline
+ * base64 data: URI — never a local filesystem path. Since this MCP server runs
+ * locally (stdio), it can read a local file the agent passes and inline it as a
+ * data: URI. http(s) URLs and existing data: URIs pass through untouched.
+ */
+const IMAGE_MIME = {
+    '.jpg': 'image/jpeg',
+    '.jpeg': 'image/jpeg',
+    '.png': 'image/png',
+    '.webp': 'image/webp',
+    '.gif': 'image/gif',
+    '.avif': 'image/avif',
+};
+async function resolveImageInput(value) {
+    if (/^(https?:\/\/|data:)/i.test(value))
+        return value;
+    // Anything else is treated as a local file path → read + base64-encode.
+    const ext = extname(value).toLowerCase();
+    const mime = IMAGE_MIME[ext];
+    if (!mime) {
+        throw new VicSeeError('UNSUPPORTED_LOCAL_FILE', `Cannot inline local file "${value}". Supported local image types: ${Object.keys(IMAGE_MIME).join(', ')}. For video/audio inputs, pass a public https URL.`, 400);
+    }
+    let bytes;
+    try {
+        bytes = await readFile(value);
+    }
+    catch {
+        throw new VicSeeError('FILE_NOT_FOUND', `Could not read local file "${value}".`, 400);
+    }
+    return `data:${mime};base64,${bytes.toString('base64')}`;
+}
+async function resolveImageInputs(arr) {
+    if (!Array.isArray(arr) || arr.length === 0)
+        return arr;
+    return Promise.all(arr.map(resolveImageInput));
+}
 const client = new VicSeeClient({
@@ -18,3 +57,3 @@ apiKey: process.env.VICSEE_API_KEY,
 });
-const server = new McpServer({ name: 'vicsee', version: '0.1.0' });
+const server = new McpServer({ name: 'vicsee', version: '0.2.0' });
 /** Wrap a handler: return pretty JSON on success, a clear error message on failure. */
@@ -54,7 +93,10 @@ function tool(run) {
     title: 'Generate image or video',
-    description: 'Create an AI image or video with VicSee. Generation is ASYNCHRONOUS: this returns a task `id` immediately, then poll `vicsee_get_task` with that id until status is "completed" (the result URL appears in result.url) or "failed". Use vicsee_list_models to pick a `model` and see its valid options. For image-to-video / image-to-image, pass source URLs in `image_urls`.',
+    description: 'Create an AI image or video with VicSee. Generation is ASYNCHRONOUS: this returns a task `id` immediately, then poll `vicsee_get_task` with that id until status is "completed" (the result URL appears in result.url) or "failed". Use vicsee_list_models to pick a `model` and see its valid options. For image-to-video / image-to-image, pass source images in `image_urls`. For reference-to-video models (e.g. "seedance-2-0-reference-to-video"), pass references in reference_image_urls / reference_video_urls / reference_audio_urls and refer to them positionally in the prompt as @Image1, @Image2, … IMAGE inputs (image_urls, reference_image_urls) may be a public https URL, a LOCAL FILE PATH (this server reads and base64-encodes it for you), or a base64 data URI. VIDEO/AUDIO inputs (reference_video_urls, reference_audio_urls) must be public https URLs.',
     inputSchema: {
         model: z.string().describe('Model id from vicsee_list_models, e.g. "nano-banana-pro-text-to-image" or "seedance-2-0-text-to-video"'),
         prompt: z.string().optional().describe('Text prompt (required for most models)'),
-        image_urls: z.array(z.string()).optional().describe('Source image URL(s) for image-to-video / image-to-image'),
+        image_urls: z.array(z.string()).optional().describe('Source image(s) for image-to-video / image-to-image. Each may be a public https URL, a local file path (auto base64-encoded by this server), or a base64 data URI.'),
+        reference_image_urls: z.array(z.string()).optional().describe('Reference-to-video only: up to 7 reference images. Each may be a public https URL, a local file path (auto base64-encoded), or a base64 data URI. Refer to them in the prompt as @Image1, @Image2, …'),
+        reference_video_urls: z.array(z.string()).optional().describe('Reference-to-video only: up to 3 public https video URLs (2-15s each, ≤15s total).'),
+        reference_audio_urls: z.array(z.string()).optional().describe('Reference-to-video only: up to 3 public https audio URLs.'),
         duration: z.number().optional().describe('Video length in seconds (e.g. 5, 6, 10, 15) — video models only'),
@@ -70,3 +112,7 @@ aspect_ratio: z.string().optional().describe('e.g. "16:9", "9:16", "1:1", "landscape", "portrait"'),
     },
-}, ({ model, extra, ...rest }) => {
+}, ({ model, extra, ...rest }) => tool(async () => {
+    // Inline any local image file paths the agent passed (image_urls /
+    // reference_image_urls) as base64 data: URIs before sending to the API.
+    rest.image_urls = await resolveImageInputs(rest.image_urls);
+    rest.reference_image_urls = await resolveImageInputs(rest.reference_image_urls);
     const input = { ...(extra ?? {}) };
@@ -77,4 +123,4 @@ for (const [k, v] of Object.entries(rest)) {
     }
-    return tool(() => client.generate({ model, input }));
-});
+    return client.generate({ model, input });
+}));
 // ---------------------------------------------------------------------------
@@ -81,0 +127,0 @@ // vicsee_get_task — poll a task until it's done

dist/index.js.map

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package.json

 {
   "name": "@vicsee/mcp-server",
-  "version": "0.1.1",
+  "version": "0.2.0",
   "description": "MCP server for VicSee — generate, edit, and upscale AI video & images from any agent (Hermes, Claude, Cursor, OpenClaw).",
@@ -5,0 +5,0 @@ "type": "module",

New alerts

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Improved metrics

Total package byte prevSize

28969

18.84%

Lines of code

312

17.74%

Worsened metrics

Number of low supply chain risk alerts

4

33.33%

No dependency changes