From 8e1d74fa2fe905813e0131c002871b1ef949f513 Mon Sep 17 00:00:00 2001 From: Shivakoreddi Date: Thu, 14 May 2026 13:38:21 -0500 Subject: [PATCH] chore: add Glama badge to aegis-dq entry Co-Authored-By: Claude Sonnet 4.6 --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 14e9cb686..51d89c940 100644 --- a/README.md +++ b/README.md @@ -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.