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mcp/skillhub

Smarterdeck MCP Connector MCP Server

by ajmessina

Compile agency-grade, editable PowerPoint (.pptx) presentations with native DrawingML vector shapes, executive KPI dashboards, and multi-format suites from Claude Desktop, Cursor, and autonomous AI agents. Features in-memory Zero-Retention processing and dual-mode data synthesis. Install: `npx -y smithery mcp add contacto-n7el/smarterdeck`

0Node.js

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Smarterdeck MCP Connector, from the data

Smarterdeck MCP Connector is a memory MCP server from ajmessina.

We haven't measured its tool list yet, so its token cost is unknown.

With 0 GitHub stars it ranks #872 of 1,597 memory servers we index.

Install Smarterdeck MCP Connector MCP server

No published package or hosted endpoint yet — see the repository README for build-from-source instructions.

Freshness

Not enough public signals yet to judge maintenance.

  1. Last commit (default branch)

    2026-10-01 · 17d ago · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    no data · official registry

How it compares in Memory

Against the most-starred memory servers we index. Token cost is per model turn, measured from each server's live tool list.

ServerStarsToolsTokens / turnFreshnessRuns
Smarterdeck MCP Connector (this)0—not measured——
Memory91,356—not measuredActivelocal
Hindsight51,304—not measuredActive—
Codebase Memory46,873—not measuredActivelocal
Cognee32,506—not measuredActive—
Honcho7,681—not measuredActivehosted
All memory MCP servers

FAQ

›Is Smarterdeck MCP Connector in the official MCP registry?

No. It was indexed from awesome-mcp-servers (punkpeye).

Sources and method

GitHub repository
fetched 2026-10-19
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.

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