image-gen-server
⚠ Stale — 112d agoProvides an MCP server (via fastmcp) that takes text prompts (intended for Cursor IDE integration) and calls an upstream image generation service (即梦AI) to generate images. It supports downloading/saving generated images to a specified folder (including configurable width/height and sampling strength) and generates multiple images per request.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security posture is partially dependent on upstream communication and how proxy/jimeng is implemented (not included here). The README instructs embedding a session_id (JIMENG_API_TOKEN) directly into server.py, which is risky for secret exposure and accidental commits/logging. Filesystem write location is configurable via save_folder, implying potential path/traversal risks if not validated. No rate-limit, audit logging, or operational hardening details are provided.
⚡ Reliability
Best When
You want local, agent-driven image generation tightly integrated with Cursor via MCP and are comfortable running a local Python process that holds an upstream session token.
Avoid When
You need strict compliance controls, centralized auth management, or you cannot trust local execution/logging/outputs involving third-party session tokens and generated files.
Use Cases
- • Generate product or brand images from text prompts inside Cursor
- • Create website/banner imagery from textual descriptions
- • Automate image generation and local saving for quick iteration during development
- • Use an MCP-enabled agent workflow to request and retrieve image outputs
Not For
- • Production-grade deployments that require robust operational controls and documented SLAs
- • Use cases needing a public, stable REST/SDK API surface for external clients
- • Environments that cannot handle storing or supplying third-party API session tokens
- • High-security environments without hardening of token handling, filesystem access, and logging
Interface
Authentication
The README indicates the upstream credential is a session_id cookie value placed directly into server.py as JIMENG_API_TOKEN (with support for multiple tokens). No OAuth flow or per-scope auth is described.
Pricing
Pricing is not described for this MCP server itself; it likely incurs upstream image-generation service costs based on 即梦AI usage.
Agent Metadata
Known Gotchas
- ⚠ Windows path/escaping issues are explicitly called out (slashes, path containing Chinese characters).
- ⚠ Cursor integration may show transient states (e.g., 'No tools found') if the server fails to start correctly.
- ⚠ The MCP server black window may remain running; the README notes the pop-up/terminal behavior is not resolved.
Alternatives
Full Evaluation Report
Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for image-gen-server.
AI-powered analysis · PDF + markdown · Delivered within 30 minutes
Package Brief
Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.
Delivered within 10 minutes
Score Monitoring
Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.
Continuous monitoring
Scores are editorial opinions as of 2026-03-30.