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Paper2Agent Compiles Research Code into Tested MCP Tools, Successfully Converting 74 of 100 Biomedical Papers

Published in Nature, Paper2Agent parses papers, code, and tutorials to automatically build MCP servers containing tools, resources, and workflow prompts, then uses executable tests to eliminate failed functions. It makes research methods easier for agents to reuse than simply providing PDFs or source code, although its success rate remains constrained by missing data, dependency environments, and the quality of the original tutorials.

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Google and Speakeasy Open-Source an OpenAPI Generator, Bringing Agent CLIs and Documentation MCP into a Single Compilation Pipeline

After Google adopted Speakeasy to rebuild its GenAI SDK pipeline, the two companies released the core software for generating multilingual SDKs, CLIs, MCP servers, and Terraform providers from OpenAPI. The tool reduces the maintenance cost of evolving AI API interfaces, but adopters still need to carefully evaluate the AGPL, output licensing, default telemetry, and some private tests.