chore(release): version packages#2878
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enesgules
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Jul 6, 2026
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This PR was opened by the Changesets release GitHub action. When you're ready to do a release, you can merge this and the packages will be published to npm automatically. If you're not ready to do a release yet, that's fine, whenever you add more changesets to master, this PR will be updated.
Releases
ctx7@0.5.4
Patch Changes
query-docsquery description so it asks for a single concept per query. When a question spans multiple distinct topics, callers are now told to make a separate query per concept instead of combining them (unless the question is about how the concepts interact), which avoids diluted, shallow results. Applied consistently across the MCP server, CLI, pi, and AI SDK tools.@upstash/context7-mcp@3.2.3
Patch Changes
127.0.0.0/8), link-local (169.254.0.0/16), CGNAT (100.64.0.0/10), IPv6 loopback (::1), IPv6 link-local (fe80::/10), and IPv6 unique-local (fc00::/7) addresses when extracting the client IP fromX-Forwarded-For, so proxy-internal hops no longer pollute the reported client IP.query-docsquery description so it asks for a single concept per query. When a question spans multiple distinct topics, callers are now told to make a separate query per concept instead of combining them (unless the question is about how the concepts interact), which avoids diluted, shallow results. Applied consistently across the MCP server, CLI, pi, and AI SDK tools.@upstash/context7-pi@0.1.1
Patch Changes
query-docsquery description so it asks for a single concept per query. When a question spans multiple distinct topics, callers are now told to make a separate query per concept instead of combining them (unless the question is about how the concepts interact), which avoids diluted, shallow results. Applied consistently across the MCP server, CLI, pi, and AI SDK tools.@upstash/context7-tools-ai-sdk@0.2.4
Patch Changes
query-docsquery description so it asks for a single concept per query. When a question spans multiple distinct topics, callers are now told to make a separate query per concept instead of combining them (unless the question is about how the concepts interact), which avoids diluted, shallow results. Applied consistently across the MCP server, CLI, pi, and AI SDK tools.