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If you already use MCP Images, the mcp images mcp server is the piece that lets your assistant work with it directly. If you find this project helpful and would like to support future projects, consider buying us a coffee! Your support helps us continue building innovative AI solutions.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Windsurf — 1. Edit the configuration file at ~/.codeium/windsurf/mcp_config.json 2. Add the following configuration: json { "mcpServers": { "image": {Cursor — 1. Open Cursor and go to Settings (Navbar → Cursor Settings) 2. Navigate to Features → MCP Servers 3. Click on + Add New MCP Server 4. EnterExamples — The Examples tool exposed by this serverSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Plenty of file and storage access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP Images's toolset — Windsurf, Cursor, Examples — is a fair guide to whether it matches your workflow. It is maintained by IA-Programming; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Windsurf | 1. Edit the configuration file at ~/.codeium/windsurf/mcp_config.json 2. Add the following configuration: json { "mcpServers": { "image": { "command": "uv", "args": ["--directory", "/path/to/mcp-image", "run", "mcp_image |
| Cursor | 1. Open Cursor and go to *Settings* (Navbar → Cursor Settings) 2. Navigate to *Features* → *MCP Servers* 3. Click on + Add New MCP Server 4. Enter the following configuration: json { "mcpServers": { "image": { "command": |
| Examples | The Examples tool exposed by this server. |
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.