Skip to main content
Glama

Deckrun MCP-Server

PyPI awesome-mcp-servers

Hinweis: Die gehosteten Deckrun-Endpunkte (free.agenticdecks.com, deckrun-mcp-free.agenticdecks.com, api.agenticdecks.com) werden pro Engagement bereitgestellt — siehe Zugang & Verfügbarkeit. Das Paket pip install deckrun-mcp und die unten dokumentierten Pfade für die lokale Ausführung funktionieren sofort mit Ihrer eigenen Bereitstellung. Für gehosteten Zugriff öffnen Sie eine Zugangsanfrage — wir antworten innerhalb eines Werktages.

MCP-Server für Deckrun von Agentic Decks — Erstellen Sie Präsentations-PDFs, vertonte Videos und Audio aus Markdown. Entwickelt für KI-Agenten und IDEs.

Deckrun ist eine Dokumenten-Ausführungs-Engine: Ihre KI schreibt den Inhalt, Deckrun rendert ihn in pixelgenaue, gebrandete PDFs, vertonte MP4-Videos und MP3-Audio — aus einer einzigen Markdown-Quelle. Kein Folien-Editor, kein Video-Tool, kein Audio-Studio.

Installation: pip install deckrun-mcp


Schnellstart — keine Installation erforderlich

Der HTTP-Transport ist gehostet und bereit. Fügen Sie ein JSON-Snippet zu Ihrer IDE hinzu.

VS Code (GitHub Copilot Chat — v1.99+)

.vscode/mcp.json in Ihrem Projekt (diese Datei ist im Repo enthalten):

{
  "servers": {
    "deckrun": {
      "type": "http",
      "url": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
    }
  }
}

Cursor

.cursor/mcp.json in Ihrem Projekt:

{
  "mcpServers": {
    "deckrun": {
      "url": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
    }
  }
}

Google Antigravity (Gemini CLI)

~/.gemini/antigravity/mcp_config.json:

{
  "mcpServers": {
    "deckrun": {
      "serverUrl": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
    }
  }
}

Claude Code (Terminal)

~/.claude/settings.json:

{
  "mcpServers": {
    "deckrun": {
      "type": "http",
      "url": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
    }
  }
}

Related MCP server: mcp-ToseaAI

Stdio-Installation (Claude Desktop und andere reine Stdio-Clients)

pip install deckrun-mcp

Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "deckrun": {
      "command": "python",
      "args": ["/path/to/deckrun_mcp.py"]
    }
  }
}

Bezahlte Stufe — fügen Sie den API-Schlüssel hinzu:

{
  "mcpServers": {
    "deckrun": {
      "command": "python",
      "args": ["/path/to/deckrun_mcp.py"],
      "env": { "DECKRUN_API_KEY": "dk_live_..." }
    }
  }
}

Erhalten Sie Ihren API-Schlüssel unter agenticdecks.com nach dem Abonnement.


Tools

Kostenlose Stufe (kein Schlüssel erforderlich)

Tool

Beschreibung

get_slide_format

Abrufen der aktuellen Folienformat-Spezifikation — Layout-Tags, Syntaxregeln, Beispiel-Markdown

generate_slide_deck

Konvertierung von Deckrun Markdown → PDF. Gibt eine öffentliche URL zurück (90 Tage gültig)

Bezahlte Stufe (DECKRUN_API_KEY gesetzt)

Alle kostenlosen Tools plus:

Tool

Beschreibung

generate_video

Markdown → vertontes MP4 (asynchron, gibt job_id zurück)

generate_audio

Foliennotizen → MP3-Vertonung (asynchron, gibt job_id zurück)

check_job

Status eines asynchronen Jobs abfragen, bis complete oder failed

get_account

Planname, verwendete/verbleibende Render-Einheiten, aktive Add-ons

validate_markdown

Deckrun Markdown prüfen und eine Vorab-Schätzung der RUs erhalten

list_themes

Verfügbare Folien-/Dokumentendesigns auflisten (System + benutzerdefiniert)

list_voices

Verfügbare Stimmen für die Vertonung auflisten — ID, Name, Stufe, Sprache


Beispiel-Prompt

Sobald konfiguriert, fragen Sie Ihre KI:

"Erstelle ein Deck mit 6 Folien über die Zukunft des Edge Computing"

Die KI ruft get_slide_format auf, um die Syntax zu lernen, schreibt das Markdown, ruft generate_slide_deck auf und antwortet mit einem anklickbaren PDF-Link.


HTTP-Endpunkte

Stufe

MCP-Endpunkt

Kostenlos

https://deckrun-mcp-free.agenticdecks.com/mcp/

Bezahlte

https://deckrun-mcp.agenticdecks.com/mcp/

Discovery: GET <endpoint> gibt Server-Metadaten als JSON zurück.


Available Tools

2 tools
generate_slide_deckA

Convert Deckrun Markdown into a PDF slide deck. Call get_slide_format first to learn the correct Markdown format. Then call this tool with the completed Markdown. Returns: url (public PDF, 90-day expiry), slug, slides (count), warnings (non-fatal notices to self-correct), schema_version. Limits: max 10 slides, 50 KB Markdown. Slides separated by --- on its own line.

ParametersJSON Schema
NameRequiredDescriptionDefault
markdownYesComplete slide deck in Deckrun Markdown format. Must start with a title slide using <!-- <title-slide /> -->.

TDQS

A4.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. Discloses return values (url with expiry, slug, slides count, warnings, schema_version) and non-fatal notices. Could mention whether operation is destructive, but creation is implied.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise, well-structured sentences. Front-loads main action, then details prerequisites, return fields, and limits. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Complete for a simple tool with one parameter and no output schema. Covers prerequisites, limits, return values, and warnings. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage 100% with one parameter. Description adds crucial formatting constraint (must start with title slide using specific comment) and reiterates limits beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it converts Deckrun Markdown into a PDF slide deck, distinct from sibling get_slide_format which teaches the format.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs to call get_slide_format first, provides limits (max 10 slides, 50 KB), and explains return fields including warnings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_slide_formatA

Fetch the authoritative Deckrun slide format specification. Call this first to learn all layout tags, Markdown syntax, and rules before writing slides. Returns JSON with layout_tags, surface_syntax, example_markdown, and limits.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description must bear full burden. It states the tool returns JSON with specific fields, but does not explicitly declare it as read-only or side-effect-free, nor mention any auth or rate limits. The nature of the tool is apparent, but some behavioral detail is missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with action and purpose. Every sentence provides essential information with no redundancy or waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description fully specifies the return structure (layout_tags, surface_syntax, example_markdown, limits). This is complete for a simple format-fetching tool with zero parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist (0 params, 100% schema coverage). Baseline is 4. The description adds value by listing the return fields (layout_tags, surface_syntax, etc.), which helps the agent interpret the output beyond the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches the authoritative Deckrun slide format specification, with specific verb 'Fetch' and resource 'slide format specification'. It distinguishes from sibling 'generate_slide_deck' by indicating this is a preliminary step.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Call this first to learn... before writing slides', providing clear when to use. Does not explicitly state when not to use or mention alternatives aside from the implied sibling tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updatesv1.1.1
    • First observedgenerate_slide_deck
    • First observedget_slide_format

TDQS

A4.4/5.0
Disambiguation5/5

The two tools have completely distinct purposes: one provides the format specification, the other generates the slide deck. No overlap in functionality.

Naming Consistency5/5

Both tool names follow a consistent verb_noun pattern: 'generate_slide_deck' and 'get_slide_format'. Conventions are uniform.

Tool Count3/5

With only 2 tools, the server feels minimal. While it covers the core workflow (get format, generate), the count is low for a full-featured service, but not extreme.

Completeness3/5

The tool set covers the essential flow: fetch format then generate. However, it lacks tools for managing or revising decks, leaving notable gaps for repeated use.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/agenticdecks/deckrun-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server