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Picsha AI vs Davinci Resolve MCP

A side-by-side look at the Picsha AI and Davinci Resolve MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

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Picsha AIMultimedia ProcessAI-native digital asset management: semantic search, generative image edits, and CDN delivery.42FairAuth: not declaredDavinci Resolve MCP logoDavinci Resolve MCPMultimedia Process · Local subprocess (stdio)MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control64GoodAuth: no auth required

Verdict: choose Picsha AI for multimedia process work; choose Davinci Resolve MCP for multimedia process as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

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Choose Picsha AI when

  • You need dedicated capabilities in the Multimedia Process domain.
Explore Picsha AI

Davinci Resolve MCP logoChoose Davinci Resolve MCP when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
Explore Davinci Resolve MCP

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
P
Picsha AI		Davinci Resolve MCP logoDavinci Resolve MCP
CategoryMultimedia ProcessMultimedia Process
Quality signal42/100 · Fair64/100 · Good
Install commandNot confirmed yetConfirmed
Transport—Local subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars—3,713
Directory activity 0 views 0 installs 0 upvotes 12 views 0 installs 0 upvotes
ToolsNot listedNot listed
Full listingView Picsha AI View Davinci Resolve MCP

Tools & capabilities

Picsha AI tools

No tool names declared yet. Check the project README from the listing page.

Davinci Resolve MCP tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Picsha AI

No confirmed install command for Picsha AI yet — follow the setup steps linked from its listing page rather than a guessed package name.

Davinci Resolve MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "samuelgursky-davinci-resolve-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "davinci-resolve-mcp"
      ]
    }
  }
}

Frequently asked questions

Picsha AI is categorized under Multimedia Process and uses an install path we have not confirmed yet. Davinci Resolve MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Picsha AI for multimedia process work and Davinci Resolve MCP for multimedia process.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Picsha AI has no confirmed install command yet — follow its own setup instructions.

Picsha AI has no declared pricing — check the project's own site. Davinci Resolve MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add picsha-ai and samuelgursky-davinci-resolve-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Picsha AI has a quality signal of 42/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Davinci Resolve MCP has 64/100 (Good) with 12 views, 0 installs and 3,713 GitHub stars.

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