Model Context Protocol (MCP) server providing access to public Ukrainian/European IT salary benchmarks from Djinni and DOU.
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# Salary MCP Server (`salary-mcp`) [](https://github.com/propsi4/salary-mcp/actions/workflows/ci.yml) [](https://pypi.org/project/salary-mcp/) [](https://pypi.org/project/salary-mcp/) [](https://opensource.org/licenses/MIT) A [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server providing LLMs with direct, programmatic access to actual public IT market salary benchmarks from **Djinni (`djinni.co`)** and **DOU (`jobs.dou.ua/salaries/`)**. --- ## ⚡ Quick Start (Published PyPI Package) `salary-mcp` is published on [PyPI](https://pypi.org/project/salary-mcp/) and can be run instantly without manual repository cloning. ### 1. Run over Stdio (Default) Standard input/output communication for desktop AI clients (Claude Desktop, Cursor, Antigravity, Zed): ```bash # Instant run with uvx (no installation needed) uvx salary-mcp # Or with pipx pipx run salary-mcp # Or install via pip pip install salary-mcp salary-mcp ``` ### 2. Run over HTTP / SSE (Remote Server) Server-Sent Events (SSE) mode for remote deployments, containers, and web clients: ```bash # Start SSE HTTP server on port 8000 uvx salary-mcp --transport sse --host 0.0.0.0 --port 8000 ``` Your MCP client can connect to: `http://localhost:8000/sse` --- ## 🔌 MCP Client Configurations ### Claude Desktop (`claude_desktop_config.json`) #### Stdio Mode (Recommended): ```json { "mcpServers": { "salary-mcp": { "command": "uvx", "args": ["salary-mcp"] } } } ``` #### HTTP / SSE Mode: ```json { "mcpServers": { "salary-mcp": { "url": "http://localhost:8000/sse" } } } ``` ### Cursor (`~/.cursor/mcp.json`) ```json { "mcpServers": { "salary-mcp": { "command": "uvx", "args"…
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