com.flevy/flevy · v1.0.0 · productivity
com.flevy/flevy is healthy: it completed an MCP handshake in 3356 ms and exposes 5 tools.
Search 10,000+ consulting frameworks, templates, financial models, and management case studies
Endpoint: https://flevy.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 5 |
| Latency | 3356 ms |
| Last checked (UTC) | 2026-10-14T19:25:36.439Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T19:25:36.439Z | Healthy | 3356 |
search_content | Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or managemen |
get_content_details | Full metadata for one Flevy item, by content_id from search_content (e.g. "doc-1234" or "case-567"). Documents return the author with their credentials (headline, bio, LinkedIn, profile URL; pass the author name to search_content's author filter to list more of their documents), full description, ed |
get_slide_deep_dive | Slide-by-slide preview of a Flevy document (a "doc-<n>" content_id). Returns every showcased slide with its name, a text description of what the slide contains (you cannot see the image, so use the description), a preview image URL, and a deep link to that slide on flevy.com. Use when a user wants t |
get_topic_details | An end-to-end overview of one management topic: its definition, an in-depth explanation of the discipline, the 3 editor-curated top documents, all known aliases, document and case study counts, related topics, and the topic page URL. Use this to survey a discipline before going deep — e.g. "what doe |
list_topics | The canonical list of management topics Flevy's catalog is organized under, each with its known aliases (e.g. "Digital Transformation" and "Digital Transformation Strategy" may be the same topic) and content counts. Use this to map a user's phrasing to the exact topic filter accepted by search_conte |