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MCP reaction docs #174
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MCP reaction docs #174
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Signed-off-by: Daniel Gerlag <[email protected]>
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Pull request overview
This pull request adds comprehensive documentation for configuring MCP (Model Context Protocol) Reactions in Drasi. The documentation enables users to expose Drasi continuous queries as real-time MCP resources that can be consumed by AI agents and other MCP-compatible clients.
Key Changes
- Added complete MCP Reaction configuration guide with examples and best practices
- Documented MCP protocol support, connection details, and notification formats
- Included production deployment guidance for Kubernetes ingress configuration
Reviewed changes
Copilot reviewed 1 out of 3 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
docs/content/how-to-guides/configure-reactions/configure-mcp-reaction/_index.md |
Complete MCP Reaction documentation including YAML configuration examples, Handlebars templating guide, client connection details, notification formats, and deployment instructions |
docs/content/how-to-guides/configure-reactions/configure-mcp-reaction/grid-image.svg |
SVG graphic containing "Model Context Protocol" branding text for the documentation |
docs/content/how-to-guides/configure-reactions/_index.md |
Fixed YAML frontmatter formatting (corrected closing delimiter) |
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docs/content/how-to-guides/configure-reactions/configure-mcp-reaction/_index.md
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Signed-off-by: Daniel Gerlag <[email protected]>
…eaction/_index.md Co-authored-by: Copilot <[email protected]>
…eaction/_index.md Co-authored-by: Copilot <[email protected]>
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| On the computer from where you will create the Reaction, you need the following software: | ||
| - [Drasi CLI](/reference/command-line-interface/) | ||
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nit: kubectl is used later on in the local dev section. Should we add it as an optional requirement
This pull request adds documentation for configuring an MCP Reaction in Drasi. The new guide explains requirements, setup, configuration, connection details, notification formats, and integration examples, making it easier for users to expose Drasi queries as real-time MCP resources for AI agents and other clients.