Forever Healthy launches Evipedia AI for longevity research
Forever Healthy launches Evipedia AI tooling today so agents, research pipelines, and AI environments can plug into the foundation's longevity evidence encyclopedia. The new MCP server, Claude plugin, keyless API, and agent-friendly site policy aim to make health reviews easier to query, cite, and integrate under CC BY 4.0.
Key Takeaways
- Forever Healthy launched tools so AI agents and research pipelines can integrate Evipedia, its longevity encyclopedia.
- New options include an MCP server, a Claude plugin, schema.org medical markup, and a keyless HTTP API.
- Evipedia already hosts 600+ evidence reviews, updated every 4–6 weeks, under a Creative Commons BY 4.0 license.
- The German nonprofit positions Evipedia as open backbone infrastructure for the longevity and rejuvenation community.
What did Forever Healthy announce?
According to a Lifespan.io press release dated July 15, 2026, Forever Healthy launched a suite of tools meant to make Evipedia easier for AI clients and automated research workflows to use. Evipedia is described as a continuously updated online encyclopedia of health and longevity-related interventions.
Forever Healthy says it encourages use of Evipedia on any project that helps people live longer, healthier lives. All content is licensed under CC BY 4.0. The foundation frames the service as a backbone tool for the longevity and rejuvenation community—coverage that sits squarely in our longevity and biohacking beat.
Which AI integration tools are included?
The Evipedia MCP server connects clients such as Claude and Cursor to evipedia.ai. Agents can search reviews, pull a review's conclusion, full Markdown, or structured medical metadata, and suggest new interventions. A Claude plugin packages the MCP server with a demo skill for simpler install.
Evipedia also states an agent-friendly site policy: no barriers to automated access for assistants such as Grok, ChatGPT, Claude, and Perplexity, or for research tools. Machine-readable entry points include https://evipedia.ai/llms.txt and an OpenAPI discovery file at https://evipedia.ai/openapi.yaml. A keyless API supports plain HTTP GET with stable URLs, raw and structured formats, and whole-catalog indexes—no keys or SDK required.
Each review page now includes schema.org structured medical data and primary-source citations as structured entries, so agents can extract evidence summaries and sources more deterministically.
What is inside Evipedia today?
Evipedia lists 600-plus evidence reviews spanning first-generation rejuvenation therapies, peptides, supplements, botanicals, lifestyle protocols, and more. The library is expanding, and users are invited to suggest new reviews.
Every intervention has a Quick Reference Sheet covering protocol, benefits, risks, contraindications, and monitoring, plus a Full Evidence Review for deeper analysis. Entries are refreshed every 4–6 weeks. Stable permalinks and social sharing cards support citation in stacks and online discussion. Audit reports accompany Quick Reference Sheets and Evidence Reviews, documenting audit criteria and fix history.
Evipedia is built on Forever Healthy's open-source AI4L framework, which uses an “Audit-Driven Prompting” approach intended to produce hallucination-free, structured intervention reviews with frontier AI models. The Forever Healthy Foundation gGmbH is a German nonprofit focused on extending healthy lifespan and human rejuvenation.