From a Silverchair Announcement:
Silverchair, the leading independent technology partner for scholarly publishers, announced the launch of the Discovery Bridge, leveraging Model Context Protocol (MCP) to connect end-users to scholarly content directly through AI assistants while maintaining institutional access controls and opening new licensing opportunities.
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The Discovery Bridge integrates with existing AI assistants including ChatGPT, Perplexity, and Claude, allowing researchers to search and access scholarly content through natural language queries without disrupting their workflows. By connecting with publishers’ existing entitlement systems, the solution maintains paywall integrity and respects subscription controls while extending content reach.
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Beyond serving traditional academic users, the Discovery Bridge creates opportunities for publishers to develop corporate content bundles and consumption-based licensing models. The solution also supports research integrity by automatically excluding retracted articles, ensuring only current, validated content reaches researchers through AI-assisted discovery. Publishers control content availability and pricing through the same subscription rules they use for web access, with the platform handling computational complexity of search, retrieval, and access verification.
As with all Silverchair AI Lab products, the Discovery Bridge has been developed iteratively with input from client development partners and informed by deep domain expertise in scholarly publishing technology. Combined with Silverchair’s AI-enabled Dynamic Discovery, publishers can now choose between implementing an open MCP connection to external AI tools, building a proprietary AI discovery assistants within their own site, or a combination of the two, preserving the power of choice and flexibility in the shifting AI landscape.
Direct to Discovery Bridge Web Page
Direct to Complete Announcement
The post Scholarly Publishing: Silverchair Launches Discovery Bridge MCP (Model Context Protocol) appeared first on Library Journal infoDOCKET.
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