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docs/guide/mcp-overview.md

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Once you’ve connected one or more MCP servers, you can simply **describe the workflow you want**
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in natural language and let DSPy Code generate DSPy programs that call those tools behind the scenes.
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docs/tutorials/examples.md

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**💡 Tip:** Start with `complete_workflow_example.py` to understand the full DSPy workflow, then explore the other examples based on your interests!
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docs/tutorials/mcp-filesystem-assistant.md

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2. Verify your `dspy_config.yaml` matches the example format exactly
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3. Test the MCP server standalone: `npx -y @modelcontextprotocol/server-filesystem /your/path`
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4. See the [Advanced MCP Integration](../advanced/mcp-integration.md) guide for more details
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docs/tutorials/mcp-github-triage.md

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Once this pattern is working, you can layer more MCP servers (databases, Slack, CI, etc.)
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to build a fully automated triage pipeline powered by DSPy.
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