32 Biosciences MCP (candidate)
32 Biosciences ships NO Model Context Protocol server. The route index at https://32biosciences.com/wp-json/ advertises no `mcp` namespace, no hosted endpoint was found on any host, and nothing is published to npm or PyPI. The tools below are a CANDIDATE mapping that API Evangelist derived from the content OpenAPI we ourselves derived from that route index - they describe what an MCP server over this surface COULD expose, not anything the company operates.
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Descriptor
Candidate descriptor · transport
Tools
search_32biosciences— Search 32biosciences.com across posts and pages and return titles, URLs and types.list_news_posts— List 32 Biosciences news releases and feature posts, filterable by category, author and date.get_news_post— Fetch one news release or feature post by WordPress id.list_pages— List the company's marketing, platform, pipeline and leadership-profile pages.get_page— Fetch one page by WordPress id.list_categories— List newsroom categories (Features, News Releases) with post counts.list_media— List media-library attachments including headshots and platform diagrams.list_authors— List the content authors behind the newsroom.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.