Rtcf vs Davinci Resolve MCP
A side-by-side look at the Rtcf 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 Rtcf for multimedia process work over a hosted endpoint; 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 Rtcf when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
improve_prompt, improve_followup, build_prompt.
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 | 52/100 · Good | 64/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 3,738 |
| Directory activity | 0 views 0 installs 0 upvotes | 12 views 0 installs 0 upvotes |
| Tools | 3 | Not listed |
| Full listing | View Rtcf | View Davinci Resolve MCP |
Tools & capabilities
Rtcf tools 3
improve_promptRewrite a rough prompt into a sharper, ready-to-use prompt structured as Role, Task, Context, Format (RTCF). Returns the improved prompt, its four parts, a short list of clarifying questions worth asking the user, and which model tier and effort level suit this kind of work. Use this before answering when the user's request is vague, or when the user asks to improve a prompt.improve_followupWrite the user's NEXT message for an AI conversation that is already in progress (a follow-up). Use when the user wants to refine, deepen, or continue earlier work in this conversation. Do NOT use it for a brand-new task (use improve_prompt for that). Returns a short, ready-to-send continuation message that anchors to the existing work instead of restarting it. Requires an API key (add ?key=rk_live_... to the connector URL).build_promptCompose a ready-to-use prompt from explicit Role, Task, Context, and Format parts. Use when the user already knows the pieces and wants them woven into one clean prompt.
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.
Rtcf
{
"mcpServers": {
"rtcf": {
"url": "https://rtcf.happlen.com/api/mcp"
}
}
}
Davinci Resolve MCP
{
"mcpServers": {
"samuelgursky-davinci-resolve-mcp": {
"command": "npx",
"args": [
"-y",
"davinci-resolve-mcp"
]
}
}
}
Frequently asked questions
Rtcf is categorized under Multimedia Process and uses a remote HTTP/SSE transport. Davinci Resolve MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Rtcf 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.
Rtcf 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 rtcf and samuelgursky-davinci-resolve-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Rtcf has a quality signal of 52/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Davinci Resolve MCP has 64/100 (Good) with 12 views, 0 installs and 3,738 GitHub stars.