Frenchie vs Saliga data tools (Apify)
A side-by-side look at the Frenchie and Saliga data tools (Apify) MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
S
Saliga data tools (Apify)Speech-to-TextPay-per-result data tools: bulk API calls, docs to Markdown, OCR, Whisper, sitemaps, tech stack.36FairAuth: api key requiredVerdict: choose Frenchie for speech-to-text work as a local process; choose Saliga data tools (Apify) for speech-to-text. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Frenchie when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
FRENCHIE_API_KEY.
SChoose Saliga data tools (Apify) when
- You need dedicated capabilities in the Speech-to-Text domain.
- Its auth model fits you: API key required.
- You have the keys it needs:
APIFY_TOKEN.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | S Saliga data tools (Apify) | |
|---|---|---|
| Category | Speech-to-Text | Speech-to-Text |
| Quality signal | 37/100 · Fair | 36/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | FRENCHIE_API_KEY | APIFY_TOKEN |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 0 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Frenchie | View Saliga data tools (Apify) |
Tools & capabilities
Frenchie tools
No tool names declared yet. Check the project README from the listing page.
Saliga data tools (Apify) 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.
Frenchie
{
"mcpServers": {
"frenchie": {
"command": "npx",
"args": [
"-y",
"@lab94/frenchie"
],
"env": {
"FRENCHIE_API_KEY": "YOUR_FRENCHIE_API_KEY_HERE"
}
}
}
}
Saliga data tools (Apify)
No confirmed install command for Saliga data tools (Apify) yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Frenchie is categorized under Speech-to-Text and uses a local stdio subprocess. Saliga data tools (Apify) belongs to Speech-to-Text and uses an install path we have not confirmed yet. Pick Frenchie for speech-to-text work and Saliga data tools (Apify) for speech-to-text.
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. Saliga data tools (Apify) has no confirmed install command yet — follow its own setup instructions.
Frenchie has no declared pricing — check the project's own site. Saliga data tools (Apify) is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key 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 frenchie and saliga-data-tools-apify as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Frenchie has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Saliga data tools (Apify) has 36/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.