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Fix alphabetical ordering of tuning-engines-cli entry

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@@ -682,6 +682,7 @@ Tools and integrations that enhance the development workflow and environment man
- [BrainGrid MCP](https://docs.braingrid.ai/mcp-server/installation) 🎖️☁️ - [BrainGrid](https://braingrid.ai) MCP is the Product Management Agent that writes your specs, plans your features, and creates engineering-grade tasks your coding tools can build reliably.
- [BrunoKrugel/echo-mcp](https://github.com/BrunoKrugel/echo-mcp) 🏎️ ☁️ 📟 🪟 🐧 🍎 - A zero-configuration Go library to automatically expose any existing Echo web framework APIs as MCP tools.
- [buildkite/buildkite-mcp-server](https://github.com/buildkite/buildkite-mcp-server) 🎖️ 🏎️ 🏠 ☁️ 🍎 🪟 🐧 - Official MCP server for Buildkite. Create new pipelines, diagnose and fix failures, trigger builds, monitor job queues, and more.
- [cerebrixos-org/tuning-engines-cli](https://github.com/cerebrixos-org/tuning-engines-cli) [![cerebrixos-org/tuning-engines-cli MCP server](https://glama.ai/mcp/servers/cerebrixos-org/tuning-engines-cli/badges/score.svg)](https://glama.ai/mcp/servers/cerebrixos-org/tuning-engines-cli) 📇 ☁️ 🍎 🪟 🐧 - Fine-tune LLMs on GitHub repos. Two training agents: Cody (QLoRA via Axolotl for code autocomplete) and SIERA (AllenAI Open Coding Agents for bug-fix specialization). Supports 3B-72B models, cost estimation, model management, S3 export, and browser-based auth.
- [Chunkydotdev/bldbl-mcp](https://github.com/chunkydotdev/bldbl-mcp) 📇 ☁️ 🍎 🪟 🐧 - Official MCP server for Buildable AI-powered development platform [bldbl.dev](https://bldbl.dev). Enables AI assistants to manage tasks, track progress, get project context, and collaborate with humans on software projects.
- [CircleCI/mcp-server-circleci](https://github.com/CircleCI-Public/mcp-server-circleci) 📇 ☁️ Enable AI Agents to fix build failures from CircleCI.
- [cjo4m06/mcp-shrimp-task-manager](https://github.com/cjo4m06/mcp-shrimp-task-manager) 📇 ☁️ 🏠 – A programming-focused task management system that boosts coding agents like Cursor AI with advanced task memory, self-reflection, and dependency management. [ShrimpTaskManager](https://cjo4m06.github.io/mcp-shrimp-task-manager)
@@ -799,7 +800,6 @@ Tools and integrations that enhance the development workflow and environment man
- [OpenZeppelin/contracts-wizard](https://github.com/OpenZeppelin/contracts-wizard/tree/master/packages/mcp) - A Model Context Protocol (MCP) server that allows AI agents to generate secure smart contracts in multiples languages based on [OpenZeppelin Wizard templates](https://wizard.openzeppelin.com/).
- [opslevel/opslevel-mcp](https://github.com/opslevel/opslevel-mcp) 🎖️ 🏎️ ☁️ 🪟 🍎 🐧 - Official MCP Server for [OpsLevel](https://www.opslevel.com)
- [optimaquantum/claude-critical-rules-mcp](https://github.com/optimaquantum/claude-critical-rules-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Automatic enforcement of critical rules for Claude AI preventing 96 documented failure patterns. Provides compliance verification checklist and rules summary via MCP tools.
- [cerebrixos-org/tuning-engines-cli](https://github.com/cerebrixos-org/tuning-engines-cli) [![cerebrixos-org/tuning-engines-cli MCP server](https://glama.ai/mcp/servers/cerebrixos-org/tuning-engines-cli/badges/score.svg)](https://glama.ai/mcp/servers/cerebrixos-org/tuning-engines-cli) 📇 ☁️ 🍎 🪟 🐧 - Fine-tune LLMs on GitHub repos. Two training agents: Cody (QLoRA via Axolotl for code autocomplete) and SIERA (AllenAI Open Coding Agents for bug-fix specialization). Supports 3B-72B models, cost estimation, model management, S3 export, and browser-based auth.
- [paracetamol951/P-Link-MCP](https://github.com/paracetamol951/P-Link-MCP) 🏠 🐧 🍎 ☁️ - Implementation of HTTP 402 (payment required http code) relying on Solana
- [Pharaoh-so/pharaoh](https://github.com/0xUXDesign/pharaoh-mcp) [![pharaoh MCP server](https://glama.ai/mcp/servers/@Pharaoh-so/pharaoh/badges/score.svg)](https://glama.ai/mcp/servers/@Pharaoh-so/pharaoh) 📇 ☁️ 🍎 🪟 🐧 - Hosted MCP server that parses TypeScript and Python codebases into Neo4j knowledge graphs for blast radius analysis, dead code detection, dependency tracing, and architectural context.
- [picahq/mcp](https://github.com/picahq/mcp) 🎖️ 🦀 📇 ☁️ - One MCP for all your integrations — powered by [Pica](https://www.picaos.com), the infrastructure for intelligent, collaborative agents.