zcaceres/markdownify-mcp
A Model Context Protocol server for converting almost anything to Markdown
Latest metrics (snapshot 2026-10-14)
| stars | 2998 |
|---|---|
| forks | 255 |
| issues | 30 |
| pushed_at | 2026-09-25T05:23:14Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 2998 |
ADC Momentum: 19/100
| Growth velocity | 18 |
|---|---|
| Consistency | 15 |
| Recency | 38 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/zcaceres/markdownify-mcp)<a href="https://agentdataco.com/repo/zcaceres/markdownify-mcp"><img src="https://agentdataco.com/badge/repo/zcaceres/markdownify-mcp.svg" alt="ADC Momentum"></a>Details
| description | A Model Context Protocol server for converting almost anything to Markdown |
|---|---|
| url | https://github.com/zcaceres/markdownify-mcp |
| language | TypeScript |
| license | MIT |
| topics | ai anthropic anthropic-ai anthropic-claude markdown mcp model-context-protocol ocr tools |
| created_at | 2024-12-18T21:14:52Z |
Get this data via API or MCP
Full daily history, trends and change events for zcaceres/markdownify-mcp and thousands of other AI-ecosystem entities.
curl -H "Authorization: Bearer $ADC_KEY" \
"https://agentdataco.com/api/v1/github-ai-repos/history?entity=zcaceres%2Fmarkdownify-mcp"
curl -H "Authorization: Bearer $ADC_KEY" \
"https://agentdataco.com/api/v1/github-ai-repos?repo=zcaceres%2Fmarkdownify-mcp"Or connect your agent to our remote MCP server: https://agentdataco.com/mcp.
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