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@@ -304,6 +306,14 @@ Programmatically assemble prompts for LLMs using [GenAIScript](https://microsoft
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- Integration with development workflows
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- Extensible AI capabilities
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### Slack MCP Client
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[Slack MCP Client](https://github.com/tuannvm/slack-mcp-client) acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with various MCP servers through standardized MCP tools.
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**Key features:**
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-**Supports Popular LLM Providers:** Integrates seamlessly with leading large language model providers such as OpenAI, Anthropic, and Ollama, allowing users to leverage advanced conversational AI and orchestration capabilities within Slack.
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-**Dynamic and Secure Integration:** Supports dynamic registration of MCP tools, works in both channels and direct messages and manages credentials securely via environment variables or Kubernetes secrets.
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-**Easy Deployment and Extensibility:** Offers official Docker images, a Helm chart for Kubernetes, and Docker Compose for local development, making it simple to deploy, configure, and extend with additional MCP servers or tools.
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### Sourcegraph Cody
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[Cody](https://openctx.org/docs/providers/modelcontextprotocol) is Sourcegraph's AI coding assistant, which implements MCP through OpenCTX.
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