This MCP repository provides two servers: File Finder MCP for searching files and Whisper STT MCP for speech-to-text conversion. Both servers follow the Model Context Protocol (MCP) specification and can be integrated with tools like VS Code's Cline extension.
The File Finder MCP server allows searching for files containing specific text fragments in their names.
npm install
npm run build
Run the MCP server directly using Node.js:
npm start
or
node build/index.js
This will start the server, which will wait for JSON-RPC requests on stdin/stdout.
This option uses a Python HTTP server and an MCP proxy that forwards requests to the HTTP server:
First, start the HTTP server:
npm run start:python
or
python main.py
Then, in another terminal, start the MCP proxy:
npm run start:http
or
node build/index-http.js
To integrate the server with VS Code and the Cline extension:
Find the MCP settings file:
%APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
Add the following configuration to the mcpServers
object in the settings file:
"file-finder-mcp": {
"command": "node",
"args": ["<FULL_PATH_TO_PROJECT>/build/index.js"],
"disabled": false,
"autoApprove": []
}
For using the HTTP proxy:
"file-finder-mcp-http": {
"command": "node",
"args": ["<FULL_PATH_TO_PROJECT>/build/index-http.js"],
"disabled": false,
"autoApprove": []
}
Replace <FULL_PATH_TO_PROJECT>
with the actual path to your project directory.
The MCP server provides one tool:
search_files
: Searches for files containing the specified fragment in their names
fragment
(string, required): Text fragment to search for in file names<use_mcp_tool>
<server_name>file-finder-mcp</server_name>
<tool_name>search_files</tool_name>
<arguments>
{
"fragment": ".py"
}
</arguments>
</use_mcp_tool>
This example searches for all files containing ".py" in their names.
The HTTP server provides a REST API for searching files with the specified fragment in their names.
To search for files, send a GET request to /search
with the query parameter q
:
http://localhost:8080/search?q=.json
This request will return a JSON array with information about all files containing ".json" in their names.
The Whisper STT MCP server provides speech-to-text functionality using the faster-whisper library, converting audio data to text with automatic language detection.
pip install faster-whisper
)npm install
pip install faster-whisper
npm run build
Run the MCP server directly using Node.js:
npm run start:whisper
or
node build/whisper-index.js
First, start the HTTP server:
npm run start:whisper:python
or
python whisper_server.py
Then, in another terminal, start the MCP proxy:
npm run start:whisper:http
or
node build/whisper-index-http.js
Add the following configuration to the mcpServers
object in the Cline MCP settings file:
"whisper-stt-mcp": {
"command": "node",
"args": ["<FULL_PATH_TO_PROJECT>/build/whisper-index.js"],
"disabled": false,
"autoApprove": []
}
For using the HTTP proxy:
"whisper-stt-mcp-http": {
"command": "node",
"args": ["<FULL_PATH_TO_PROJECT>/build/whisper-index-http.js"],
"disabled": false,
"autoApprove": []
}
Replace <FULL_PATH_TO_PROJECT>
with the actual path to your project directory and restart VS Code.
The MCP server provides one tool:
transcribe_audio
: Converts audio data to text using faster-whisper
audio_base64
(string, required): Audio data in base64 formatlanguage
(string, optional): Language code (e.g., "en", "ru"). If not specified, the language will be automatically detected.<use_mcp_tool>
<server_name>whisper-stt-mcp</server_name>
<tool_name>transcribe_audio</tool_name>
<arguments>
{
"audio_base64": "BASE64_ENCODED_AUDIO_DATA",
"language": "ru"
}
</arguments>
</use_mcp_tool>
This example converts audio data to text, assuming the audio is in Russian.
The HTTP server runs on http://localhost:8081 and provides a REST API for transcribing audio data to text.
To transcribe audio, send a POST request to /transcribe
with a JSON body containing:
audio
: base64-encoded audio datalanguage
(optional): language code (e.g., "en", "ru")npm run build
before attempting to use it.To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "file-finder-mcp" '{"command":"node","args":["<\u041f\u041e\u041b\u041d\u042b\u0419_\u041f\u0423\u0422\u042c_\u041a_\u041f\u0420\u041e\u0415\u041a\u0422\u0423>/build/index.js"],"disabled":false,"autoApprove":[]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"file-finder-mcp": {
"command": "node",
"args": [
"<\u041f\u041e\u041b\u041d\u042b\u0419_\u041f\u0423\u0422\u042c_\u041a_\u041f\u0420\u041e\u0415\u041a\u0422\u0423>/build/index.js"
],
"disabled": false,
"autoApprove": []
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"file-finder-mcp": {
"command": "node",
"args": [
"<\u041f\u041e\u041b\u041d\u042b\u0419_\u041f\u0423\u0422\u042c_\u041a_\u041f\u0420\u041e\u0415\u041a\u0422\u0423>/build/index.js"
],
"disabled": false,
"autoApprove": []
}
}
}
3. Restart Claude Desktop for the changes to take effect