Filesystem vs Gemini Tts MCP
A side-by-side look at the Filesystem and Gemini Tts MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Filesystem for file systems work as a local process; choose Gemini Tts MCP for text-to-speech as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Filesystem when
- You need dedicated capabilities in the File Systems domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
path, head, tail.
Choose Gemini Tts MCP when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
RUNAPI_API_KEY. - You want tools like
text_to_speech, get_task, check_pricing.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | File Systems | Text-to-Speech |
| Quality signal | 85/100 · Excellent | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | RUNAPI_API_KEY |
| Verified owner | Verified | Community listing |
| GitHub stars | 91,526 | 0 |
| Directory activity | 11 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 17 | 3 |
| Full listing | View Filesystem | View Gemini Tts MCP |
Tools & capabilities
Filesystem tools 17
pathheadtailpathscontenteditsoldTextnewTextdryRunsortBysourcedestination- +5 more on the listing page
Gemini Tts MCP tools 3
text_to_speechCreate a Gemini TTS text to speech task and optionally wait for a terminal status. Returns the task id, status, and output URLs.get_taskFetch the current status and latest payload for an existing task.check_pricingLook up current pricing for a Gemini TTS model and endpoint.
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.
Filesystem
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem"
]
}
}
}
Gemini Tts MCP
{
"mcpServers": {
"gemini-tts-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/gemini-tts-mcp"
],
"env": {
"RUNAPI_API_KEY": "YOUR_RUNAPI_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Filesystem is categorized under File Systems and uses a local stdio subprocess. Gemini Tts MCP belongs to Text-to-Speech and uses a local stdio subprocess. Pick Filesystem for file systems work and Gemini Tts MCP for text-to-speech.
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.
Filesystem is listed as free. Auth: no auth required. Gemini Tts MCP has no declared pricing — check the project's own site. 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 filesystem and gemini-tts-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Filesystem has a quality signal of 85/100 (Excellent) with 11 views, 0 installs and 91,526 GitHub stars. Gemini Tts MCP has 53/100 (Good) with 1 views, 0 installs and 0 GitHub stars.