How should pdf-ppt-mcp be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

pdf-ppt-mcp answer-first brief

MCP server for reading PDF, Word, Excel, and PowerPoint files with context-efficient tools Document Reader MCP Server An MCP (Model Context Protocol) server that lets AI assistants read PDF, Word, Excel, and PowerPoint files without blowing up the context window. $1 $1 --- Why this exists Most AI tools try to dump an entire document into the prompt at once. This server solves that with **context-efficient reading** by exposing tools that: - Get document **metadata first** (page count, sheet names) - Read * Published capability contract available. No trust telemetry is available yet. Last updated 3/14/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

pdf-ppt-mcp is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 100/100

pdf-ppt-mcp

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal

Published capability contract available. No trust telemetry is available yet. Last updated 3/14/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Abdo544445

Artifacts

Benchmarks

Last release

1.0.3

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 3/14/2026.

View Source

Setup snapshot

git clone https://github.com/abdo544445/pdf-ppt-mcp.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Abdo544445

profilemedium

Observed Mar 14, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

bash

npx -y pdf-ppt-mcp

bash

npm install -g pdf-ppt-mcp
mcp-document-server

bash

git clone https://github.com/abdo544445/pdf-ppt-mcp.git
cd pdf-ppt-mcp
npm install
npm run build
npm start

json

{
  "mcpServers": {
    "document-reader": {
      "command": "npx",
      "args": ["-y", "pdf-ppt-mcp"]
    }
  }
}

json

{
  "mcpServers": {
    "document-reader": {
      "command": "npx",
      "args": ["-y", "pdf-ppt-mcp"]
    }
  }
}

json

{
  "mcpServers": {
    "document-reader": {
      "command": "npx",
      "args": ["-y", "pdf-ppt-mcp"]
    }
  }
}

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

Document Reader MCP Server

An MCP (Model Context Protocol) server that lets AI assistants read PDF, Word, Excel, and PowerPoint files without blowing up the context window.

Why this exists

Most AI tools try to dump an entire document into the prompt at once. This server solves that with context-efficient reading by exposing tools that:

Get document metadata first (page count, sheet names)
Read one page / slide / sheet at a time
Search across the entire document and return only relevant snippets

This keeps your context window clean while still giving the AI access to large documents.

Supported File Types

| Format | Extension(s) | How it's read | |--------|-------------|---------------| | PDF | .pdf | Page-by-page (native PDF pagination) | | Word | .docx | Paragraph-aware chunking | | Excel | .xlsx, .xls | Sheet-by-sheet (full CSV per sheet) | | PowerPoint | .pptx, .ppt | Slide-by-slide (true slide extraction) |

Quick Start

Run instantly with npx (recommended)

npx -y pdf-ppt-mcp

Or install globally

npm install -g pdf-ppt-mcp
mcp-document-server

Or clone and run locally

git clone https://github.com/abdo544445/pdf-ppt-mcp.git
cd pdf-ppt-mcp
npm install
npm run build
npm start

Integration Guide

VS Code (Cline / RooCode / Copilot MCP)

Add to your MCP config file (usually ~/.cline/mcp_settings.json or .vscode/mcp.json):

{
  "mcpServers": {
    "document-reader": {
      "command": "npx",
      "args": ["-y", "pdf-ppt-mcp"]
    }
  }
}

Cursor

Open Settings -> MCP and add:

{
  "mcpServers": {
    "document-reader": {
      "command": "npx",
      "args": ["-y", "pdf-ppt-mcp"]
    }
  }
}

Antigravity / Claude Desktop

In your claude_desktop_config.json:

{
  "mcpServers": {
    "document-reader": {
      "command": "npx",
      "args": ["-y", "pdf-ppt-mcp"]
    }
  }
}

Local path (if you cloned the repo)

{
  "mcpServers": {
    "document-reader": {
      "command": "node",
      "args": ["/absolute/path/to/pdf-ppt-mcp/build/index.js"]
    }
  }
}

Available MCP Tools

1. `get_document_info`

Always call this first. Returns metadata so the AI knows the document's size before trying to read it.

Input: | Parameter | Type | Description | |-----------|------|-------------| | filePath | string | Absolute path to the document |

Example output:

report.pdf — PDF document
Total pages: 42

data.xlsx — Excel workbook
Sheets (3): "Summary", "Q1 Data", "Q2 Data"

slides.pptx — PowerPoint presentation
Total slides: 12

2. `read_document_page`

Read one specific page, chunk, or sheet at a time to avoid loading the whole document.

Input: | Parameter | Type | Description | |-----------|------|-------------| | filePath | string | Absolute path to the document | | pageOrSheet | string | PDF/Word/PPT: page/chunk/slide number (e.g. "3"). Excel: sheet name (e.g. "Sheet1") |

Example calls:

// Read page 5 of a PDF
{ "filePath": "/docs/report.pdf", "pageOrSheet": "5" }

// Read slide 2 of a PPTX
{ "filePath": "/docs/deck.pptx", "pageOrSheet": "2" }

// Read the "Sales" sheet of an Excel file
{ "filePath": "/docs/data.xlsx", "pageOrSheet": "Sales" }

// Read chunk 3 of a Word document
{ "filePath": "/docs/contract.docx", "pageOrSheet": "3" }

3. `search_document`

Search the entire document for a keyword. Returns matching pages/slides/chunks with surrounding context snippets.

Input: | Parameter | Type | Description | |-----------|------|-------------| | filePath | string | Absolute path to the document | | query | string | Search term (case-insensitive) |

Example output:

Found 2 match(es) for "revenue":

[Page 7]:
...total revenue for Q3 was $4.2M, representing a 12% increase over...

[Page 23]:
...projected revenue targets were exceeded in all regions except...

4. `list_directory`

List all supported document files in a folder. Useful for discovering what documents are available.

Input: | Parameter | Type | Description | |-----------|------|-------------| | directoryPath | string | Absolute path to the directory |

Example output:

Found 4 document(s):

annual_report.pdf  (2,341.2 KB)
budget_2025.xlsx   (128.5 KB)
proposal.docx      (54.8 KB)
presentation.pptx  (8,902.1 KB)

5. `read_full_document`

Read the entire document at once. Best for small documents only.

Warning: Use read_document_page or search_document for large documents to avoid filling the context window.

Input: | Parameter | Type | Description | |-----------|------|-------------| | filePath | string | Absolute path to the document | | maxChunks | number | Max pages/chunks to read (default: 10, max: 50) |

Recommended Usage Pattern for AI Assistants

When an AI assistant uses this server, the recommended flow is:

1. list_directory("/path/to/folder")                   -> discover available documents
2. get_document_info("/path/to/doc.pdf")               -> learn total pages
3. search_document("/path/to/doc.pdf", "key term")     -> find relevant pages
4. read_document_page("/path/to/doc.pdf", "7")         -> read specific page

This approach typically uses less than 5% of context compared to loading the whole document.

Architecture

The server connects to your AI assistant (via MCP protocol) and routes requests to specialized parsing services under the hood.

[ 🤖 AI Assistant ] <── MCP Protocol ──> [ 📄 Document Reader Server ]
(Claude, Cursor)                                      │
                                                      │ (routes commands)
                                                      ▼
                                                [ MCP Tools ]
                                                      │
        ┌──────────────────────┬──────────────────────┼──────────────────────┐
        ▼                      ▼                      ▼                      ▼
[ read_page ]          [ search_doc ]         [ get_info ]          [ read_full ]
        │                      │                      │                      │
        └──────────────────────┴────────┬─────────────┴──────────────────────┘
                                        │
                                        ▼
                             [ ⚙️  Parsing Services ]
                                        │
             ┌──────────────┬───────────┴───┬──────────────┐
             ▼              ▼               ▼              ▼
       PDFService      WordService    ExcelService    PptService
      (pdf-parse)       (mammoth)        (xlsx)     (officeparser)
             │              │               │              │
             └──────────────┴───────┬───────┴──────────────┘
                                    │
                                    ▼
                         [ 📁 Local File System ]

Folder Structure

pdf-ppt-mcp/
├── src/
│   ├── index.ts                  # MCP Server - tool definitions and routing
│   └── services/
│       ├── pdf.service.ts        # PDF parsing (pdf-parse v2)
│       ├── word.service.ts       # Word parsing (mammoth)
│       ├── excel.service.ts      # Excel parsing (xlsx)
│       └── ppt.service.ts        # PPT parsing (officeparser)
├── build/                        # Compiled output (auto-generated)
├── package.json
├── tsconfig.json
└── README.md

Libraries Used

| Library | Purpose | |---------|---------| | @modelcontextprotocol/sdk | MCP server/client protocol | | pdf-parse | PDF text extraction (v2, page-by-page) | | mammoth | Word .docx text extraction | | xlsx | Excel .xlsx/.xls reading | | officeparser | PowerPoint .pptx/.ppt slide extraction |

Development

# Clone the repo
git clone https://github.com/abdo544445/pdf-ppt-mcp.git
cd pdf-ppt-mcp

# Install dependencies
npm install

# Build TypeScript
npm run build

# Start the server (stdio mode for MCP clients)
npm start

Requirements

Node.js >= 20.16.0
An MCP-compatible client (VS Code with Cline/RooCode, Cursor, Antigravity, Claude Desktop, etc.)

Roadmap

[x] Published to npm — install with npx -y pdf-ppt-mcp
[ ] VS Code Extension wrapper for GUI-based document selection
[ ] Support for .csv files (direct reading)
[ ] Support for password-protected PDFs
[ ] OCR for scanned/image-based PDFs

Contributing

Pull requests are welcome. For major changes, please open an issue first.

License

MIT (c) abdo544445

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITLAB_AI_CATALOGgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-actix-web

Rank

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/abdo544445/pdf-ppt-mcp#input",
  "outputSchemaRef": "https://github.com/abdo544445/pdf-ppt-mcp#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:53.138Z",
  "sourceUpdatedAt": "2026-02-24T19:46:53.138Z",
  "freshnessSeconds": 4431731
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T02:49:04.616Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "pdf",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "word",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "excel",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "powerpoint",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "pptx",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "docx",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "xlsx",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "document-reader",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "llm",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "claude",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cursor",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "vscode",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:mcp|supported|profile capability:model-context-protocol|supported|profile capability:pdf|supported|profile capability:word|supported|profile capability:excel|supported|profile capability:powerpoint|supported|profile capability:pptx|supported|profile capability:docx|supported|profile capability:xlsx|supported|profile capability:document-reader|supported|profile capability:ai|supported|profile capability:llm|supported|profile capability:claude|supported|profile capability:cursor|supported|profile capability:vscode|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Abdo544445",
    "href": "https://github.com/abdo544445/pdf-ppt-mcp#readme",
    "sourceUrl": "https://github.com/abdo544445/pdf-ppt-mcp#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-14T18:34:46.135Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:53.138Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:53.138Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/abdo544445/pdf-ppt-mcp#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:53.138Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-abdo544445-pdf-ppt-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

pdf-ppt-mcp answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

Document Reader MCP Server

Why this exists

Supported File Types

Quick Start

Run instantly with npx (recommended)

Or install globally

Or clone and run locally

Integration Guide

VS Code (Cline / RooCode / Copilot MCP)

Cursor

Antigravity / Claude Desktop

Local path (if you cloned the repo)

Available MCP Tools

1. get_document_info

2. read_document_page

3. search_document

4. list_directory

5. read_full_document

Recommended Usage Pattern for AI Assistants

Architecture

Folder Structure

Libraries Used

Development

Requirements

Roadmap

Contributing

License

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents

1. `get_document_info`

2. `read_document_page`

3. `search_document`

4. `list_directory`

5. `read_full_document`