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@@ -105,6 +105,7 @@ Official integrations are maintained by companies building production ready MCP
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**[Atla](https://github.com/atla-ai/atla-mcp-server)** - Enable AI agents to interact with the [Atla API](https://docs.atla-ai.com/) for state-of-the-art LLMJ evaluation.
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**[Atlan](https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol)** - The Atlan Model Context Protocol server allows you to interact with the [Atlan](https://www.atlan.com/) services through multiple tools.
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**[Atlassian](https://www.atlassian.com/platform/remote-mcp-server)** - Securely interact with Jira work items and Confluence pages, and search across both.
+- **[Atlas MCP Server](https://github.com/IamNishant51/atlas-mcp-server)** - Multi-stage AI pipeline for intelligent code generation with 7 stages: Intent → Context → Git → Decompose → Variants → Critique → Optimize. Supports Ollama, OpenAI, and Anthropic providers.
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**[AtomGit](https://atomgit.com/atomgit-open-source-ecosystem/atomgit-mcp-server)** - Official AtomGit server for integration with repository management, PRs, issues, branches, labels, and more.
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**[Atono](https://docs.atono.io/docs/mcp-server-for-atono/)** - Modern product teams connect their AI assistant to Atono to create and update stories, bugs, assignments and fixes.
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**[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.