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Add Glama score badge to operational-ontology entry

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@@ -1031,7 +1031,7 @@ Data Platforms for data integration, transformation and pipeline orchestration.
- [flexorch/flexorch-mcp](https://github.com/flexorch/flexorch-mcp) [![flexorch/flexorch-mcp MCP server](https://glama.ai/mcp/servers/flexorch/flexorch-mcp/badges/score.svg)](https://glama.ai/mcp/servers/flexorch/flexorch-mcp) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Convert unstructured business documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets with automatic classification, field extraction, PII masking (10+ locales), and quality scoring. 6 async MCP tools covering the full pipeline: submit → poll → extract → build → export JSONL/RAG/CSV. Install: `pip install flexorch-mcp`.
- [flowcore/mcp-flowcore-platform](https://github.com/flowcore-io/mcp-flowcore-platform) 🎖️ 📇 ☁️ 🏠 - Interact with Flowcore to perform actions, ingest data, and analyse, cross reference and utilise any data in your data cores, or in public data cores; all with human language.
- [FreelexHo/power-bi-mcp](https://github.com/FreelexHo/power-bi-mcp) [![FreelexHo/power-bi-mcp MCP server](https://glama.ai/mcp/servers/FreelexHo/power-bi-mcp/badges/score.svg)](https://glama.ai/mcp/servers/FreelexHo/power-bi-mcp) 🐍 ☁️ 🪟 🍎 🐧 - Power BI MCP server with device code auth, enhanced refresh (table-level polling with retry), refresh diagnostics with root-cause error catalog, DAX queries with RLS simulation, PBIP source locating, and scheduled refresh reports.
- [gura105/operational-ontology](https://github.com/gura105/operational-ontology) 📇 🏠 🍎 🪟 🐧 - Reference implementation of an "operational ontology": MCP tools are generated from a typed business domain model (objects, links, actions) — one tool per query shape and per action, deliberately no raw SQL tool. Writes pass business-rule preconditions, are audited, and write back to the systems of record; refusals are machine-readable. Demo scenario included (`pnpm demo` / `pnpm mcp`).
- [gura105/operational-ontology](https://github.com/gura105/operational-ontology) [![gura105/operational-ontology MCP server](https://glama.ai/mcp/servers/gura105/operational-ontology/badges/score.svg)](https://glama.ai/mcp/servers/gura105/operational-ontology) 📇 🏠 🍎 🪟 🐧 - Reference implementation of an "operational ontology": MCP tools are generated from a typed business domain model (objects, links, actions) — one tool per query shape and per action, deliberately no raw SQL tool. Writes pass business-rule preconditions, are audited, and write back to the systems of record; refusals are machine-readable. Demo scenario included (`pnpm demo` / `pnpm mcp`).
- [Hug0x0/mcp-reunion](https://github.com/Hug0x0/mcp-reunion) [![Hug0x0/mcp-reunion MCP server](https://glama.ai/mcp/servers/Hug0x0/mcp-reunion/badges/score.svg)](https://glama.ai/mcp/servers/Hug0x0/mcp-reunion) 📇 ☁️ 🍎 🪟 🐧 - 96 tools across 21 modules for La Réunion (French overseas region) open data: economy, demographics, geography, transport, health, education, elections, tourism, housing, environment, and more. Powered by data.regionreunion.com and data.gouv.fr. Install: `npx -y mcp-reunion`.
- [JordiNei/mcp-databricks-server](https://github.com/JordiNeil/mcp-databricks-server) 🐍 ☁️ - Connect to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status.
- [jwaxman19/qlik-mcp](https://github.com/jwaxman19/qlik-mcp) 📇 ☁️ - MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support.