Runapi AI MCP vs Davinci Resolve MCP
A side-by-side look at the Runapi AI MCP 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.
Verdict: choose Runapi AI MCP for multimedia process work as a local process; 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?
Choose Runapi AI MCP when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You want tools like
list_models, get_model_info, list_actions.
Choose 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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 68/100 · Great | 64/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 56 | 3,660 |
| Directory activity | 5 views 0 installs 0 upvotes | 11 views 0 installs 0 upvotes |
| Tools | 9 | Not listed |
| Full listing | View Runapi AI MCP | View Davinci Resolve MCP |
Tools & capabilities
Runapi AI MCP tools 9
list_modelsList RunAPI models from the embedded catalog. Optional filters: modality, service, or action.get_model_infoGet supported endpoint, current runtime pricing, and input constraints for a RunAPI model slug. Add service and action when the model supports multiple endpoints.list_actionsList RunAPI endpoint names grouped by output modality.check_pricingReturn current runtime pricing for a RunAPI model/action pair.search_promptsSearch RunAPI prompt examples by modality, category, tags, text query, model, or featured status. Free, no API key required.check_balanceReturn the authenticated RunAPI account balance and spending metrics.create_taskRun a RunAPI operation with a caller-generated idempotency key. Asynchronous operations can optionally poll until completion.get_taskFetch the current status and latest payload for an existing RunAPI task.loginAuthenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
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.
Runapi AI MCP
{
"mcpServers": {
"runapi-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/mcp"
]
}
}
}
Davinci Resolve MCP
{
"mcpServers": {
"samuelgursky-davinci-resolve-mcp": {
"command": "npx",
"args": [
"-y",
"davinci-resolve-mcp"
]
}
}
}
Frequently asked questions
Runapi AI MCP is categorized under Multimedia Process and uses a local stdio subprocess. Davinci Resolve MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Runapi AI MCP 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.
Runapi AI MCP is listed as free. Auth: api key required. 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 runapi-ai-mcp and samuelgursky-davinci-resolve-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Runapi AI MCP has a quality signal of 68/100 (Great) with 5 views, 0 installs and 56 GitHub stars. Davinci Resolve MCP has 64/100 (Good) with 11 views, 0 installs and 3,660 GitHub stars.