Andrea9293 MCP vs PicoBerry — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Andrea9293 MCP vs PicoBerry
In-depth architectural comparison of the Andrea9293 MCP and PicoBerry MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Andrea9293 MCP
Developer Tools · Local stdio
Quality: 63/100 (Good) | Auth: No auth required
PicoBerry
Developer Tools · Local stdio
Quality: 55/100 (Good) | Auth: No auth required
Verdict Summary: Choose Andrea9293 MCP if you need specialized Developer Tools tools running via a local process. Choose PicoBerry if your workspace requires Developer Tools integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Andrea9293 MCP when:
You need dedicated capabilities in the Developer Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Andrea9293 MCP is categorized under Developer Tools and uses a local stdio subprocess. In contrast, PicoBerry belongs to Developer Tools using local stdio subprocess. Select Andrea9293 MCP when you need capabilities focused on developer tools and PicoBerry when you require tools for developer tools.
Lists files in the uploads folder with size and format info
get_ui_url
Returns the Web UI URL (e.g. http://localhost:3080) — useful to open the dashboard or to locate the uploads folder from the browser
search_documents
Semantic vector search within a specific document
search_all_documents
Hybrid (full-text + vector) cross-document search
get_context_window
Returns a window of chunks around a given chunk index
search_documents_with_ai
🤖 AI-powered search using Gemini (requires `GEMINI_API_KEY`)
PicoBerry Tools (14)
list_models
Engines + credit cost for a category (`3d` / `image` / `parts-board` / `remesh` / `texture` / `animate`). Call before generating — don't hardcode engines.
list_animation_presets
Animation preset ids (engine-specific), with optional substring filter.
get_credits
Current credit balance + plan.
generate_image
Text → image (+ optional reference image URLs).
generate_3d_from_text
Text → 3D model (GLB).
generate_3d_from_image
Image → 3D model. Single: `image_url` or local `image_path`. Multi-view (2–4 views, higher fidelity): `image_urls` or `image_paths`, ordered [front, left, back, right] — tripo\*/meshy6/hunyuan-3.x only.
parts_board
Decompose one image into an exploded parts-board image (server-fixed engine). Input `asset_id`, `image_url`, or local `image_path`; feed the result to `generate_3d_from_image` for a parts-separated mesh.
remesh
Retopologize an existing 3D asset → new asset.
texture
Re-texture (PBR) an existing 3D asset → new asset.
animate
Auto-rig + animate an existing 3D character → new asset.
get_asset
Status + result URLs for one asset.
wait_for_asset
Poll until an asset finishes (or times out), then return it.