Aparavi MCP stdio server that streams local files to Aparavi EaaS
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# Aparavi MCP Server A Python [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that integrates with the Aparavi Platform. It exposes Aparavi data processing tools to LLMs, allowing them to stream local files directly to Aparavi EaaS for advanced processing (OCR, classification, PII detection, etc.). ## Features - Full DTC capabilities accessible within your MCP client - Custom pipeline tools created from your DTC workflows - Built-in tools for immediate use (no DTC configuration required) - Document processing and text extraction - OCR capabilities for images and system diagrams - Async processing support - MCP-compliant interface ## Installation ### Option 1: Using pipx (Recommended) Isolate the server environment: ```bash pipx install aparavi-mcp ``` ### Option 2: Using pip Install into your current environment: ```bash pip install aparavi-mcp ``` ## Configuration Add the server to your MCP host configuration (e.g., `mcp.json` for Cursor, `claude_desktop_config.json` for Claude Desktop). You will need your Aparavi API key and URI. ```json { "mcpServers": { "aparavi": { "command": "aparavi-mcp", "args": [], "env": { "APARAVI_URI": "https://eaas.aparavi.com", "APARAVI_AUTH": "your-api-key-here" } } } } ``` > **Note:** For EU users, please use `https://eaas.aparavi.eu` for `APARAVI_URI`. ## Getting Your API Key To obtain your API key for authentication, visit your Aparavi account settings or contact your Aparavi administrator. ## Usage Once configured, the following tools will be available to your LLM: ### 1. Aparavi Document Processor A convenience tool that processes a file using a standard Aparavi document processing pipeline. - **Input**: `filepath` (Absolute path to the local file) - **Output**: Extracted text and metadata ### 2. Custom Pipelines Any running tasks/pipelines in your Aparavi account will also be dynamically exposed as tools. ## Pipeline Requirements T…
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