Efficient Python server for text differences using difflib in Unified diff format
The mcp-server-diff-python
is an advanced MCP server designed to provide text comparison capabilities through Python's standard library difflib
. By generating Unified diff format outputs, this tool serves as a vital piece in the puzzle for AI applications that require context-rich data manipulation and version control functionalities. It enhances Claude Desktop, Continue, Cursor, and other clients by offering efficient text difference calculations, thus enabling developers to build more robust and user-friendly AI interfaces.
The mcp-server-diff-python
server introduces key features that are integral to the Model Context Protocol (MCP). These include:
get-unified-diff
) for quick and seamless integration into various workflows.mcp-server-diff-python
supports two primary methods:
string_a
: Source text for comparison (required).string_b
: Target text to compare against (required).MCP protocol ensures that all servers and clients communicate seamlessly. For mcp-server-diff-python
, this involves:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[mcp-server-diff-python Server]
C --> D[Unified Diff Calculation]
D --> E[Unified diff format output]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
The server is compatible with a range of MCP clients, including:
To integrate mcp-server-diff-python
into Claude Desktop on macOS:
git clone https://github.com/tatn/mcp-server-diff-python.git
cd mcp-server-diff-python
uv sync
uv build
claude_desktop_config.json
:
"mcpServers": {
"mcp-server-diff-python": {
"command": "uv",
"args": [
"--directory",
"path/to/mcp-server-diff-python",
"run",
"mcp-server-diff-python"
]
}
}
For a full setup on Windows:
git clone https://github.com/tatn/mcp-server-diff-python.git
cd mcp-server-diff-python
uv sync
uv build
claude_desktop_config.json
with the following configuration:
"mcpServers": {
"mcp-server-diff-python": {
"command": "uv",
"args": [
"--directory",
"%APPDATA%/Claude/claude_desktop_config.json",
"run",
"mcp-server-diff-python"
]
}
}
This use case involves using mcp-server-diff-python
to generate diff outputs between two versions of a text document. By integrating with version control systems, this server ensures that developers can easily track changes and maintain consistency across different file revisions.
In scenarios where real-time text editing is critical (e.g., collaborative writing tools), mcp-server-diff-python
can continuously monitor text inputs and produce diffs as updates occur. This feature enhances user experience by providing immediate feedback on changes.
{
"mcpServers": {
"mcp-server-diff-python": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-server-diff-python",
"run",
"mcp-server-diff-python"
],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
You can start the MCP Inspector using npx
:
npx @modelcontextprotocol/inspector uvx mcp-server-diff-python
Or, with a directory path specified:
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-server-diff-python run mcp-server-diff-python
Ensure that the API keys and other credentials are securely managed. Regularly update dependencies to maintain security standards.
Q: How do I integrate mcp-server-diff-python
with Claude Desktop?
claude_desktop_config.json
.Q: Can this server be used in other AI applications besides those listed under MCP clients?
Q: What if I need to troubleshoot issues with mcp-server-diff-python
?
Q: How often should this server be updated for compatibility and performance improvements?
Q: Are there any known limitations with mcp-server-diff-python
, particularly in text comparison scenarios?
Contributions to this repository are welcome! To get started:
[YourName]/Fix/feature
.Explore more about the MCP protocol and client integrations through these resources:
By leveraging mcp-server-diff-python
within the larger MCP ecosystem, AI developers can significantly enhance their application's text manipulation capabilities, ensuring seamless integration and reliability.
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