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docs/ecosystem/ai-tools.mdx

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@@ -7,7 +7,8 @@ Ory provides tools to help AI coding assistants query Ory documentation and work
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## Ory Docs MCP Server
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The Ory Docs MCP server lets AI assistants query Ory's documentation directly. Connect it to your AI tool of choice using the instructions below.
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The Ory Docs MCP server lets AI assistants query Ory's documentation directly. Connect it to your AI tool of choice using the
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instructions below.
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### Cursor
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### Other
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MCP is an open protocol supported by many clients. Use the server URL `https://ory-docs.mcp.kapa.ai` and refer to your client's documentation for setup instructions.
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MCP is an open protocol supported by many clients. Use the server URL `https://ory-docs.mcp.kapa.ai` and refer to your client's
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documentation for setup instructions.
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Most clients accept the standard MCP JSON configuration format:
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## Ory Claude Plugins
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The [Ory Claude Plugins](https://github.com/ory/claude-plugins) repository is the official Claude Code plugin marketplace for Ory. Install it in Claude Code with:
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The [Ory Claude Plugins](https://github.com/ory/claude-plugins) repository is the official Claude Code plugin marketplace for Ory.
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Install it in Claude Code with:
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```bash
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/plugin marketplace add ory/claude-plugins
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## Lumen
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[Lumen](https://github.com/ory/lumen) is a fully local semantic code search engine for AI coding agents. Instead of reading entire files, Claude uses Lumen's `semantic_search` tool to find relevant functions and types by meaning — reducing cost and session time without sacrificing quality.
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[Lumen](https://github.com/ory/lumen) is a fully local semantic code search engine for AI coding agents. Instead of reading entire
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files, Claude uses Lumen's `semantic_search` tool to find relevant functions and types by meaning — reducing cost and session time
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without sacrificing quality.
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**Install via the Ory Claude Plugins:**
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/plugin install lumen@ory
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```
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On first session start, Lumen indexes your project in the background and registers a `semantic_search` MCP tool that Claude uses automatically.
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On first session start, Lumen indexes your project in the background and registers a `semantic_search` MCP tool that Claude uses
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automatically.
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**Prerequisites:** [Ollama](https://ollama.com/) installed and running with the default embedding model:
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**Key results** across 8 languages and real GitHub bug-fix tasks:
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| Metric | Improvement |
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| --- | --- |
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| Cost (avg) | -26% |
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| Session time (avg) | -28% |
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| Output tokens (avg) | -37% |
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| Patch quality | Maintained in all tasks |
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| Metric | Improvement |
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| ------------------- | ----------------------- |
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| Cost (avg) | -26% |
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| Session time (avg) | -28% |
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| Output tokens (avg) | -37% |
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| Patch quality | Maintained in all tasks |
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See the [Lumen repository](https://github.com/ory/lumen) for benchmarks, configuration, and supported languages.

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