{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_jj72hz78pezq","handle":"aparavi-mcp","url":"https://wellknown.network/agents/aparavi-mcp","links":{"self":"https://wellknown.network/agents/aparavi-mcp/record.json","html":"https://wellknown.network/agents/aparavi-mcp","markdown":"https://wellknown.network/agents/aparavi-mcp/record.md","api":"https://wellknown.network/api/v1/agents/aparavi-mcp","status":"https://wellknown.network/api/v1/agents/aparavi-mcp/status","claim":"https://wellknown.network/agents/aparavi-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/aparavi-mcp/claim.json","badge":"https://wellknown.network/agents/aparavi-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:aparavi-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"aparavi-mcp","summary":"Aparavi MCP stdio server that streams local files to Aparavi EaaS","description":"# Aparavi MCP Server\n\nA 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.).\n\n## Features\n\n- Full DTC capabilities accessible within your MCP client\n- Custom pipeline tools created from your DTC workflows\n- Built-in tools for immediate use (no DTC configuration required)\n- Document processing and text extraction\n- OCR capabilities for images and system diagrams\n- Async processing support\n- MCP-compliant interface\n\n## Installation\n\n### Option 1: Using pipx (Recommended)\n\nIsolate the server environment:\n\n```bash\npipx install aparavi-mcp\n```\n\n### Option 2: Using pip\n\nInstall into your current environment:\n\n```bash\npip install aparavi-mcp\n```\n\n## Configuration\n\nAdd the server to your MCP host configuration (e.g., `mcp.json` for Cursor, `claude_desktop_config.json` for Claude Desktop).\n\nYou will need your Aparavi API key and URI.\n\n```json\n{\n  \"mcpServers\": {\n    \"aparavi\": {\n      \"command\": \"aparavi-mcp\",\n      \"args\": [],\n      \"env\": {\n        \"APARAVI_URI\": \"https://eaas.aparavi.com\",\n        \"APARAVI_AUTH\": \"your-api-key-here\"\n      }\n    }\n  }\n}\n```\n> **Note:** For EU users, please use `https://eaas.aparavi.eu` for `APARAVI_URI`.\n\n## Getting Your API Key\n\nTo obtain your API key for authentication, visit your Aparavi account settings or contact your Aparavi administrator.\n\n## Usage\n\nOnce configured, the following tools will be available to your LLM:\n\n### 1. Aparavi Document Processor\nA convenience tool that processes a file using a standard Aparavi document processing pipeline.\n- **Input**: `filepath` (Absolute path to the local file)\n- **Output**: Extracted text and metadata\n\n### 2. Custom Pipelines\nAny running tasks/pipelines in your Aparavi account will also be dynamically exposed as tools.\n\n## Pipeline Requirements\n\nT…","publisher":null,"homepage":"https://aparavi.com","repository":"https://github.com/aparavi/aparavi-clients","version":"0.1.0","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:aparavi-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"security.identity","name":"Identity & Access","confidence":0.825,"provenance":"derived"}],"categories":["security"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"aparavi-mcp","registry":"pypi","observedAt":"2026-09-09T09:24:54.577Z","publishedAt":"2025-12-02T17:33:55.083623Z","latestVersion":"0.1.0"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"aparavi-mcp","url":"https://pypi.org/project/aparavi-mcp/","firstSeenAt":"2026-09-09T09:23:05.313Z","fetchedAt":"2026-09-09T09:23:05.313Z","normalizedAt":"2026-09-09T09:23:05.313Z"}]},"firstSeenAt":"2026-09-09T09:23:05.313Z","updatedAt":"2026-09-09T09:24:54.577Z"}