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2slides MCP Server

2slides

Expose 2slides.com tools to MCP clients: generate PowerPoint decks and custom-designed slides, add AI voice narration, and get the finished files back as download links.

Get Your API Key

Before connecting, get an API key from 2slides.com/api.

Connect

2slides runs a hosted Streamable HTTP MCP endpoint, and also ships this stdio package. Both expose the same 7 tools against the same account and the same credits.

Streamable HTTP

stdio (this package)

Setup

one command, nothing to install

needs Node.js 18+, npx fetches the package

Updates

server-side, always current

re-downloaded on your machine

Runs in

any remote-capable MCP client

any client that can spawn a local process

Anthropic's MCP docs call HTTP "the recommended option for connecting to remote MCP servers", and 2slides is a hosted service with no local files or processes to reach, so start here.

Claude Code

claude mcp add --transport http 2slides "https://2slides.com/api/mcp?apikey=YOUR_2SLIDES_API_KEY"

Verify with claude mcp list — the server should report ✔ Connected.

Project config (.mcp.json, shared with your team)

{
  "mcpServers": {
    "2slides": {
      "type": "http",
      "url": "https://2slides.com/api/mcp?apikey=YOUR_2SLIDES_API_KEY"
    }
  }
}

Claude Desktop / claude.ai: add it as a custom connector at claude.ai/customize/connectors with the same URL.

Option 2 — stdio (local process)

Use this when the client can only spawn local processes, when the machine has no direct route to 2slides.com, or when you want to pin and patch the server yourself.

Claude Code

claude mcp add 2slides -e API_KEY=YOUR_2SLIDES_API_KEY -- npx -y 2slides-mcp@latest

Claude Desktop — edit ~/Library/Application Support/Claude/claude_desktop_config.json (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "2slides": {
      "command": "npx",
      "args": ["-y", "2slides-mcp@latest"],
      "env": {
        "API_KEY": "YOUR_2SLIDES_API_KEY"
      }
    }
  }
}

The -y flag lets npx install the package without prompting. Fully restart Claude Desktop afterwards; in a chat, open the tools panel and you should see the tools below.

Available Tools


slides_generate (POST /api/v1/slides/generate)

Generate a PowerPoint presentation using a pre-built theme (Fast PPT). Use themes_search first to find a themeId.

  • Args:

    • userInput (string, required) — presentation content

    • themeId (string, required) — theme ID from themes_search

    • responseLanguage (string, optional, default: Auto) — output language; supported values: Auto, English, Spanish, Arabic, Portuguese, Indonesian, Japanese, Russian, Hindi, French, German, Greek, Vietnamese, Turkish, Thai, Polish, Italian, Korean, Simplified Chinese, Traditional Chinese

    • mode (optional, default: sync) — sync returns downloadUrl immediately; async returns a jobId to poll with jobs_get

  • Credits: 1 per page

  • Example:

    {
      "themeId": "st-1756528793701-fcg5fblt2",
      "userInput": "Generate a 5-slide intro to machine learning",
      "responseLanguage": "English",
      "mode": "sync"
    }

Search pre-built themes to use with slides_generate.

  • Args:

    • query (string, required) — search keyword (e.g. business, minimal, dark)

    • limit (number, optional, default: 10, range: 1–100)

  • Returns: array of themes with id, name, description, previewUrl, tags

  • Credits: free

  • Example:

    { "query": "business", "limit": 5 }

jobs_get (GET /api/v1/jobs/{jobId})

Poll a job's status and retrieve the result when ready.

  • Args:

    • jobId (string, required)

  • Returns: jobId, status (pending / processing / success / failed), message, downloadUrl (when success), slidePageCount, createdAt, updatedAt, duration (ms), jobUrl (Nano Banana jobs only)

  • Credits: free

  • Note: Poll every 20 seconds until status is success or failed.

  • Example:

    { "jobId": "D8h9VYDGdTlZ6wWSEoctF" }

slides_create_like_this (POST /api/v1/slides/create-like-this)

Generate slides (Nano Banana) that match the style of a reference image.

  • Args:

    • userInput (string, required) — presentation content

    • referenceImageUrl (string, required) — URL of the style reference image

    • responseLanguage (string, optional, default: Auto)

    • aspectRatio (string, optional, default: 16:9) — valid values: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9

    • resolution (string, optional, default: 2K) — 1K, 2K, 4K

    • page (number, optional, default: 0) — 0 = auto-detect, 1–100 = exact page count

    • contentDetail (string, optional, default: standard) — concise or standard

    • mode (string, optional, default: async) — async returns jobId; sync returns downloadUrl immediately

  • Credits: 100 per page (1K/2K) or 200 per page (4K)

  • Example:

    {
      "userInput": "Create a presentation about AI trends",
      "referenceImageUrl": "https://example.com/style-reference.jpg",
      "aspectRatio": "16:9",
      "resolution": "2K",
      "page": 5,
      "contentDetail": "standard",
      "mode": "async"
    }

slides_create_pdf_slides (POST /api/v1/slides/create-pdf-slides)

Generate custom-designed slides (Nano Banana) from text content without a reference image.

  • Args:

    • userInput (string, required) — presentation content

    • designStyle (string, optional) — free-text description of the visual style; leave empty for default styling

    • responseLanguage (string, optional, default: Auto)

    • aspectRatio (string, optional, default: 16:9) — valid values: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9

    • resolution (string, optional, default: 2K) — 1K, 2K, 4K

    • page (number, optional, default: 0) — 0 = auto-detect, 1–100 = exact page count

    • contentDetail (string, optional, default: standard) — concise or standard

    • mode (string, optional, default: async) — async returns jobId; sync returns downloadUrl immediately

  • Credits: 100 per page (1K/2K) or 200 per page (4K)

  • Example:

    {
      "userInput": "Quarterly business review for Q3 2025",
      "designStyle": "modern, dark background, bold typography",
      "aspectRatio": "16:9",
      "resolution": "2K",
      "page": 8,
      "mode": "async"
    }

slides_generate_narration (POST /api/v1/slides/generate-narration)

Add AI voice narration to a completed Nano Banana job (slides_create_like_this or slides_create_pdf_slides only; Fast PPT not supported). Always async — poll result with jobs_get.

  • Args (single speaker, mode: "single" default):

    • jobId (string, required) — UUID of a completed Nano Banana job

    • mode (string, optional, default: single) — single or multi

    • speakerName (string, optional) — narrator name

    • voice (string, optional) — one of 30 voices (see list below)

    • contentMode (string, optional, default: standard) — concise or standard

    • includeIntro (boolean, optional, default: true)

  • Args (two speakers, mode: "multi"):

    • jobId (string, required)

    • mode (string, required) — multi

    • speaker1Name (string, required)

    • speaker2Name (string, required)

    • speaker1Voice (string, optional) — voice for speaker 1

    • speaker2Voice (string, optional) — voice for speaker 2

    • contentMode (string, optional, default: standard) — concise or standard

  • Supported voices (30): Puck, Aoede, Charon, Kore, Fenrir, Zephyr, Leda, Orus, Callirrhoe, Autonoe, Enceladus, Iapetus, Umbriel, Algieba, Despina, Erinome, Algenib, Rasalgethi, Laomedeia, Achernar, Alnilam, Schedar, Gacrux, Pulcherrima, Achird, Zubenelgenubi, Vindemiatrix, Sadachbia, Sadaltager, Sulafat

  • Credits: 210 per page (10 text + 200 audio)

  • Example:

    {
      "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
      "mode": "multi",
      "speaker1Name": "Alice",
      "speaker2Name": "Bob",
      "speaker1Voice": "Aoede",
      "speaker2Voice": "Puck",
      "contentMode": "standard"
    }

slides_download_slides_pages_voices (POST /api/v1/slides/download-slides-pages-voices)

Export slide pages and audio narration as a ZIP file. The job must be completed and have narration generated.

  • Args:

    • jobId (string, required) — UUID of a job with completed narration

  • Returns: downloadUrl (expires in 1 hour), fileName, expiresIn (3600 seconds)

  • ZIP contents:

    pages/
      page_01.png, page_02.png, …
    voices/
      page_01.wav, page_02.wav, …
    transcript.txt
  • Credits: free

  • Example:

    { "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890" }

Typical Workflows

Fast PPT (theme-based PowerPoint):

  1. themes_search → get a themeId

  2. slides_generate (sync) → get downloadUrl directly

Nano Banana (custom-designed slides):

  1. slides_create_like_this or slides_create_pdf_slides (async) → get jobId

  2. jobs_get (poll every 20s) → get downloadUrl when status: "success"

Nano Banana with narration:

  1. slides_create_like_this or slides_create_pdf_slides → get jobId

  2. jobs_get → wait for slides to complete

  3. slides_generate_narration → get narration jobId

  4. jobs_get → wait for narration to complete

  5. slides_download_slides_pages_voices → get ZIP download link


Troubleshooting (Claude Desktop)

  • If tools don't appear in Claude, verify the config path is absolute and restart the app.

  • Check Claude MCP logs:

tail -n 50 -f ~/Library/Logs/Claude/mcp*.log
  • For stdio MCP servers, avoid logging to stdout; this server only logs errors to stderr.

References

Available Tools

3 tools
jobs_getA

Get job status/result by jobId from 2slides. Please check every 20 seconds until the status is success.

ParametersJSON Schema
NameRequiredDescriptionDefault
jobIdYes

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the polling behavior ('check every 20 seconds') and expected outcome ('until status is success'), which are valuable behavioral traits. However, it lacks details on error handling, timeout limits, or what happens if the job fails, leaving gaps in transparency.

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?

The description is appropriately sized and front-loaded, with the core purpose stated first and usage guidance following. Both sentences earn their place by providing essential information without redundancy, making it efficient and well-structured.

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

Completeness3/5

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

Given no annotations, no output schema, and a simple input schema, the description is moderately complete. It covers the tool's purpose and polling behavior but lacks details on response format, error cases, or integration with sibling tools, leaving room for improvement in guiding an agent fully.

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?

The description adds meaning by specifying that the jobId parameter is used to retrieve status/result from 2slides, which clarifies its purpose beyond the schema's basic string validation. With 0% schema description coverage and only one parameter, this compensation is adequate, though it could detail format or source of jobId.

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

Purpose4/5

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

The description clearly states the verb ('Get') and resource ('job status/result'), specifying it retrieves information by jobId from 2slides. However, it doesn't explicitly differentiate from sibling tools like slides_generate or themes_search, which appear to be different operations rather than alternative status-checking methods.

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

Usage Guidelines3/5

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

The description provides implied usage guidance by mentioning 'Please check every 20 seconds until the status is success,' suggesting this tool is for polling job completion. However, it doesn't explicitly state when to use this tool versus alternatives or mention prerequisites like needing a valid jobId from another operation.

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

slides_generateB

Generate slides with 2slides. Returns job info including jobId and downloadUrl when ready. Optional 'mode' can be 'sync' (default) or 'async'.

ParametersJSON Schema
NameRequiredDescriptionDefault
themeIdYes
userInputYes
responseLanguageYes
modeNo

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool returns job info (jobId and downloadUrl) and mentions sync/async modes, adding some behavioral context. However, it lacks details on permissions, rate limits, error handling, or what '2slides' entails, leaving gaps in transparency for a generation tool.

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

Conciseness4/5

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

The description is front-loaded with the main purpose and key return info, followed by an optional parameter note. It's concise with two sentences, but could be slightly improved by integrating the mode explanation more seamlessly or adding brief context for other parameters.

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

Completeness3/5

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

Given no annotations, no output schema, and 4 parameters with 0% schema coverage, the description is incomplete. It covers the tool's purpose and return values partially, but misses details on parameter meanings, error cases, and full behavioral traits, making it only minimally viable for a generation tool with multiple inputs.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only explains the 'mode' parameter with enum values, but doesn't add meaning for 'themeId', 'userInput', or 'responseLanguage'. This leaves three out of four parameters without semantic clarification, failing to adequately compensate for the low schema coverage.

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

Purpose4/5

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

The description clearly states the action ('Generate slides with 2slides') and resource ('slides'), specifying it's a generation tool. However, it doesn't differentiate from sibling tools like 'jobs_get' or 'themes_search', which are retrieval tools rather than creation tools, so it misses explicit sibling distinction.

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

Usage Guidelines3/5

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

The description implies usage through the mention of 'mode' options ('sync' or 'async'), suggesting when to use based on timing preferences, but it doesn't provide explicit guidance on when to use this tool versus alternatives like 'jobs_get' for checking job status or 'themes_search' for finding themes, nor does it mention prerequisites or exclusions.

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.

  1. 3 tool updatesv1.0.0
    • Changedjobs_get2 fields changed
      • addedInput schema / $schema
        Added value: +"http://json-schema.org/draft-07/schema#"
      • addedInput schema / additionalProperties
        Added value: +false
    • Changedslides_generate3 fields changed
      • addedInput schema / $schema
        Added value: +"http://json-schema.org/draft-07/schema#"
      • addedInput schema / additionalProperties
        Added value: +false
      • addedInput schema / properties / mode
        Added value: +{
        +  "enum": [
        +    "sync",
        +    "async"
        +  ],
        +  "type": "string"
        +}
    • Changedthemes_search2 fields changed
      • addedInput schema / $schema
        Added value: +"http://json-schema.org/draft-07/schema#"
      • addedInput schema / additionalProperties
        Added value: +false
  2. 3 tool updates
    • First observedjobs_get
    • First observedslides_generate
    • First observedthemes_search

TDQS

A3.5/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: jobs_get retrieves job status/results, slides_generate creates slides, and themes_search finds themes. There is no overlap in functionality, making it easy for an agent to select the correct tool without confusion.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (jobs_get, slides_generate, themes_search) with clear actions and targets. This predictability enhances usability and reduces cognitive load for agents.

Tool Count4/5

With 3 tools, the server is well-scoped for slide generation and theme management, though it feels slightly thin. Each tool earns its place, but additional utilities like theme details or slide editing might be expected in a broader implementation.

Completeness4/5

The tools cover core workflows: generating slides, checking job status, and searching themes. Minor gaps exist, such as no direct theme retrieval or slide modification tools, but agents can work around these with the provided operations.

Maintenance

ActivityMaintained
ResponsivenessUnresponsive

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