Slide decks over MCP: read and write decks as code, run Lorem's full AI pipeline, export PPTX/PDF.
Free account. Installing gives you the manifest plus copy-paste snippets.
See reviewsImported from the official MCP registry - entry
io.github.AnkitaShanbhag30/loremv0.2.3. Ratings and installs below are from this marketplace.
Slide decks over MCP: read and write decks as code, run Lorem's full AI pipeline, export PPTX/PDF.
lorem-mcp @ 0.2.3Registry entry: io.github.AnkitaShanbhag30/lorem
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - nothing else to configure
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
# or pin it on the OpenAI-compatible endpoint: {"model": "mcp-io-github-ankitashanbhag30-lorem", ...}An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "mcp-io-github-ankitashanbhag30-lorem",
"kind": "tool",
"name": "lorem",
"description": "Slide decks over MCP: read and write decks as code, run Lorem's full AI pipeline, export PPTX/PDF.",
"publisher": "io.github.AnkitaShanbhag30",
"version": "0.2.3",
"capabilities": {
"domains": [
"coding"
],
"tags": [
"mcp",
"mcp-server",
"npm",
"mcp-registry"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Slide decks over MCP: read and write decks as code, run Lorem's full AI pipeline, export PPTX/PDF."
],
"primary": false,
"metadata": {
"source": {
"provider": "mcp-registry",
"path": "server.json",
"ref": "0.2.3",
"url": "https://registry.modelcontextprotocol.io/v0/servers/io.github.AnkitaShanbhag30%2Florem",
"key": "io.github.AnkitaShanbhag30/lorem",
"registry": "https://registry.modelcontextprotocol.io"
}
}
}Fetch it by URL: GET /api/v1/registry/mcp-io-github-ankitashanbhag30-lorem/manifest?version=0.2.3
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