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chore: add Glama badge to aegis-dq entry

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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -739,7 +739,7 @@ Data Platforms for data integration, transformation and pipeline orchestration.
- [1luvc0d3/metabase-mcp](https://github.com/1luvc0d3/metabase-mcp) [![1luvc0d3/metabase-mcp MCP server](https://glama.ai/mcp/servers/1luvc0d3/metabase-mcp/badges/score.svg)](https://glama.ai/mcp/servers/1luvc0d3/metabase-mcp) 📇 🏠 - MCP server connecting Claude to Metabase with 28 tools for natural language data analysis, dashboard management, SQL queries, and automated insights. Features SQL guardrails, rate limiting, and audit logging.
- [carrierone/verilexdata-mcp](https://github.com/carrierone/verilexdata-mcp) [![carrierone/verilexdata-mcp MCP server](https://glama.ai/mcp/servers/carrierone/verilexdata-mcp/badges/score.svg)](https://glama.ai/mcp/servers/carrierone/verilexdata-mcp) 📇 ☁️ - 20 structured datasets (NPI healthcare, SEC filings, OFAC sanctions, crypto whales, Polymarket signals, patents, economic indicators) via x402 pay-per-query with USDC. Free stats/sample endpoints, MCP + HTTP transport.
- [aegis-dq/aegis-dq](https://github.com/aegis-dq/aegis-dq) 🐍 🏠 🍎 🪟 🐧 - Agentic data quality framework that runs structured rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Every LLM decision is audit-logged with cost and latency.
- [aegis-dq/aegis-dq](https://github.com/aegis-dq/aegis-dq) [![aegis-dq/aegis-dq MCP server](https://glama.ai/mcp/servers/aegis-dq/aegis-dq/badges/score.svg)](https://glama.ai/mcp/servers/aegis-dq/aegis-dq) 🐍 🏠 🍎 🪟 🐧 - Agentic data quality framework that runs structured rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Every LLM decision is audit-logged with cost and latency.
- [alkemiai/alkemi-mcp](https://github.com/alkemi-ai/alkemi-mcp) 📇 ☁️ - MCP Server for natural language querying of Snowflake, Google BigQuery, and DataBricks Data Products through Alkemi.ai.
- [avisangle/method-crm-mcp](https://github.com/avisangle/method-crm-mcp) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Production-ready MCP server for Method CRM API integration with 20 comprehensive tools for tables, files, users, events, and API key management. Features rate limiting, retry logic, and dual transport support (stdio/HTTP).
- [aywengo/kafka-schema-reg-mcp](https://github.com/aywengo/kafka-schema-reg-mcp) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Comprehensive Kafka Schema Registry MCP server with 48 tools for multi-registry management, schema migration, and enterprise features.