PDF Utilities MCP
Allows AI assistants like GitHub Copilot to read, create, merge, split, and edit PDF files through natural language commands.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PDF Utilities MCPRead report.pdf"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
PDF Utilities MCP
A VS Code extension that provides comprehensive PDF manipulation tools for GitHub Copilot Chat via Model Context Protocol (MCP).
Overview
This project combines an MCP server with a VS Code extension to enable AI assistants like GitHub Copilot to work with PDF files through natural language commands. Users can read, create, merge, split, and edit PDFs directly from their chat interface.
Related MCP server: PDF MCP Server
Architecture
pdf-utilities-mcp/
├── src/ # MCP Server implementation
│ ├── index.ts # Server entry point and tool registration
│ └── pdf-tools.ts # PDF manipulation utilities
├── extension/ # VS Code Extension
│ ├── src/
│ │ ├── extension.ts # Extension activation and MCP integration
│ │ └── types.ts # TypeScript type definitions
│ ├── resources/
│ │ └── instructions/ # Copilot Chat instruction files
│ └── mcp-server/ # Built MCP server (copied from ../dist)
└── dist/ # Compiled MCP server outputFeatures
📖 Read PDFs: Extract text content with optional page range selection
📊 Get Info: Retrieve metadata (pages, title, author, size, etc.)
✍️ Create PDFs: Generate new PDFs from text with formatting options
🔗 Merge: Combine multiple PDF files into one
✂️ Split: Extract specific pages or ranges
📝 Update Metadata: Modify title, author, subject, keywords
📄 Extract Pages: Save individual pages as separate files
Installation
For Users
Install from VS Code Marketplace:
Open VS Code
Search for "PDF Utilities" in Extensions
Click Install
For Developers
# Clone the repository
git clone https://github.com/GleidsonFerSanP/pdf-utilities-mcp.git
cd pdf-utilities-mcp
# Install MCP server dependencies
npm install
# Build MCP server
npm run build
# Install extension dependencies
cd extension
npm install
# Build extension
npm run compile
# Copy MCP server to extension
cd ..
npm run copy-to-extensionDevelopment
Project Structure
MCP Server ( src/ ):
Uses @modelcontextprotocol/sdk for standardized tool interface
Implements 7 PDF tools using pdf-lib and pdf-parse
Runs as Node.js process via stdio transport
VS Code Extension ( extension/ ):
Registers MCP server with VS Code's lm.registerMcpServerDefinitionProvider
Provides commands for configuration and server management
Includes chat instructions for optimal Copilot integration
Building
# Build MCP server
npm run build
# Build extension
cd extension
npm run compile
# Copy server to extension folder
cd ..
npm run copy-to-extensionTesting
# Test MCP server directly
node dist/index.js
# Package extension for testing
cd extension
npm run package # Creates .vsix file
# Install .vsix in VS Code for testing
# Extensions > ... > Install from VSIXDevelopment Workflow
Make changes to MCP server in
src/Run
npm run buildto compileRun
npm run copy-to-extensionto update extensionReload VS Code window to test changes
Check logs in Output panel > "PDF Utilities"
Publishing
Prerequisites
Create VS Code Publisher account at https://marketplace.visualstudio.com/
Generate Personal Access Token (PAT)
Update
extension/.envwith your PAT
Publish Steps
# Build everything
npm run build
cd extension
npm run compile
cd ..
npm run copy-to-extension
# Package extension
cd extension
npm run package
# Verify the .vsix file works
# Install it manually in VS Code and test
# Publish to marketplace
npm run publishVersion Management
Update version in both:
package.json(root)extension/package.json
Follow semantic versioning: MAJOR. MINOR. PATCH
Configuration
Extension Settings
pdfUtilities.autoStart: Auto-start MCP server (default: true)pdfUtilities.logLevel: Logging verbosity (default: info)pdfUtilities.maxPdfSize: Maximum file size in MB (default: 50)
MCP Server Configuration
The MCP server is configured via the extension and doesn't require separate configuration.
API Documentation
Tool: read_pdf
Extract text from PDF file.
Parameters:
filePath(string, required): Absolute path to PDFpageRange(string, optional): Pages to extract (e.g., "1-5", "1, 3, 5-10")
Returns:
{
text: string;
pages: number;
info: PDFInfo;
}Tool: get_pdf_info
Get PDF metadata and information.
Parameters:
filePath(string, required): Absolute path to PDF
Returns:
{
pages: number;
title?: string;
author?: string;
subject?: string;
creator?: string;
producer?: string;
creationDate?: Date;
modificationDate?: Date;
fileSize: number;
filePath: string;
}Tool: create_pdf
Create new PDF from text content.
Parameters:
content(string, required): Text contentoutputPath(string, required): Save locationoptions(object, optional): Formatting optionstitle,author,subject(string): MetadatafontSize(number): Text size (default: 12)pageSize(string): Page size (default: "A4")
Returns:
{
success: boolean;
path: string;
pages: number;
}Tool: merge_pdfs
Combine multiple PDFs.
Parameters:
filePaths(string[], required): PDFs to mergeoutputPath(string, required): Output location
Returns:
{
success: boolean;
path: string;
pages: number;
}Tool: split_pdf
Extract pages to new PDF.
Parameters:
filePath(string, required): Source PDFpageRange(string, required): Pages to extractoutputPath(string, required): Output location
Returns:
{
success: boolean;
path: string;
pages: number;
}Tool: update_pdf_metadata
Modify PDF metadata.
Parameters:
filePath(string, required): PDF to updatemetadata(object, required): Fields to updatetitle,author,subject,keywords(string)
outputPath(string, optional): Save location (defaults to overwrite)
Returns:
{
success: boolean;
path: string;
}Tool: extract_pages
Extract pages to separate files.
Parameters:
filePath(string, required): Source PDFpages(number[], required): Page numbers to extractoutputDir(string, required): Output directoryprefix(string, optional): Filename prefix (default: "page")
Returns:
{
success: boolean;
files: string[];
}Troubleshooting
MCP Server Not Starting
Check Output panel:
View > Output > Select "PDF Utilities"Look for initialization messages. If server fails:
Verify
mcp-server/index.jsexists in extension folderRun rebuild:
npm run build && npm run copy-to-extensionReload VS Code
Tools Not Available in Copilot
Ensure extension is activated (check Extensions panel)
Verify MCP API is available (requires VS Code 1.85+)
Check that Copilot Chat is enabled
Restart Copilot: Command Palette > "GitHub Copilot: Restart Language Server"
Build Errors
Common issues:
TypeScript errors: Run
npm installin both root and extension foldersMissing dependencies:
npm installin correct directoryPath issues: Use
npm run copy-to-extensionto sync files
Contributing
Fork the repository
Create a feature branch
Make your changes
Add tests if applicable
Submit a pull request
Please follow existing code style and conventions.
License
MIT License - see LICENSE file for details.
Support
Credits
Built with Model Context Protocol
Icon design: Custom SVG
Note: This project requires GitHub Copilot Chat and VS Code 1.85+ with MCP support.
Available Tools
7 toolscreate_pdfB
Create a new PDF from text content with optional formatting and metadata.
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | Text content to include in the PDF | |
| outputPath | Yes | Absolute path where the PDF will be saved | |
| options | No | Optional formatting and metadata options |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must disclose behavioral details. It does not mention what happens if output path exists, side effects, or any constraints. 'Create' implies writing but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, 13 words, directly states action and scope. No fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a nested options object and no output schema or annotations, the description is too minimal. Missing details about output behavior, overwrite policy, and formatting capabilities.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so baseline is 3. The description adds minimal value beyond schema, just rephrasing 'text content' and noting optional features. No new semantic insight.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it creates a PDF from text content with optional formatting and metadata. This verb-resource combination is distinct from sibling tools that extract, merge, split, read, or update PDFs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives, such as when to use merge_pdfs or update_pdf_metadata. No mention of prerequisites or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
extract_pagesB
Extract specific pages from a PDF into separate PDF files.
| Name | Required | Description | Default |
|---|---|---|---|
| filePath | Yes | Absolute path to the source PDF file | |
| pages | Yes | Array of page numbers to extract (1-based) | |
| outputDir | Yes | Directory where extracted pages will be saved | |
| prefix | No | Optional filename prefix for extracted pages (default: "page") |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose whether the original file is modified, permissions needed, or behavior on errors; minimal disclosure for a tool that writes new files.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise single sentence, front-loaded with the core purpose, no redundant words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Missing details on output file naming (e.g., prefix usage), handling of invalid page numbers, and any side effects; incomplete for a tool with 4 parameters and no output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3; the description adds no extra meaning beyond the schema for any parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Extract', the resource 'specific pages from a PDF', and the outcome 'separate PDF files', distinguishing it from siblings like merge_pdfs or split_pdf.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives such as split_pdf or read_pdf; no exclusions or prerequisites mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_pdf_infoB
Get metadata and information about a PDF file (pages, title, author, size, etc.).
| Name | Required | Description | Default |
|---|---|---|---|
| filePath | Yes | Absolute path to the PDF file |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits. It only states that the tool retrieves metadata, lacking details on error handling, permissions, or performance implications. This is insufficient for an informed agent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys the tool's purpose and includes key examples. No unnecessary words or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no output schema), the description covers the core functionality and expected return values (pages, title, author, size). Minor gaps exist, such as lack of error conditions or format details, but these are not critical for a straightforward metadata retrieval tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% (the single parameter 'filePath' is described as 'Absolute path to the PDF file'). The description does not add additional meaning beyond the schema, meeting the baseline expectation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Get' and the resource 'metadata and information about a PDF file', listing specific examples (pages, title, author, size). It sufficiently distinguishes from sibling tools like create_pdf or read_pdf, which serve different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not provide any guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. It simply describes what it does, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
merge_pdfsB
Merge multiple PDF files into a single PDF.
| Name | Required | Description | Default |
|---|---|---|---|
| filePaths | Yes | Array of absolute paths to PDF files to merge | |
| outputPath | Yes | Absolute path where the merged PDF will be saved |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose behavioral traits such as whether the output file is overwritten, file size limits, or required permissions. As a mutating operation that creates a new file, more transparency is needed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no unnecessary words. It is perfectly concise and front-loaded with the key action and outcome.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with two well-documented parameters and no output schema, the description is minimally adequate. However, it lacks details about the merge order, overwrite behavior, and return value, which could aid an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with both parameters ('filePaths' and 'outputPath') clearly described in the input schema. The tool description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Merge multiple PDF files into a single PDF' clearly states the action (merge) and the resource (multiple PDF files into one). It effectively distinguishes from sibling tools like split_pdf, extract_pages, and create_pdf.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives, no mention of prerequisites or scenarios where merging is appropriate or inappropriate. The description is too minimal to provide usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
read_pdfA
Extract text content from a PDF file. Optionally specify page range (e.g., "1-5" or "1,3,5").
| Name | Required | Description | Default |
|---|---|---|---|
| filePath | Yes | Absolute path to the PDF file | |
| pageRange | No | Optional page range (e.g., "1-5", "1,3,5-10") |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only mentions text extraction and optional page range, but omits important details like handling of scanned documents, encrypted files, file not found errors, or output format. This is insufficient for a read operation with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences: first states the core purpose, second adds the optional page range. No redundant words, information is front-loaded and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of output schema, the description should clarify return value format (e.g., plain text) and behavior for invalid input (e.g., non-existent file). It is adequate for simple use but misses details that could prevent agent errors.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed parameter descriptions. The description's mention of page range restates the schema's example without adding new meaning. Since the schema already handles semantics, the description adds minimal value, earning a baseline 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Extract text content from a PDF file', identifying the verb 'extract' and resource 'text content'. This distinguishes it from sibling tools that create, merge, split, or update PDFs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates optional page range usage, which helps the agent decide to provide a range. Although it doesn't explicitly state when not to use or list alternatives, the sibling tools cover different operations, making the intended use obvious.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
split_pdfC
Extract specific pages from a PDF into a new file.
| Name | Required | Description | Default |
|---|---|---|---|
| filePath | Yes | Absolute path to the source PDF file | |
| pageRange | Yes | Page range to extract (e.g., "1-5", "2,4,6-10") | |
| outputPath | Yes | Absolute path where the extracted PDF will be saved |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description lacks details on behavioral traits such as whether the source file is modified, error handling, or overwrite policy. The description is too brief to convey important behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is a single sentence, which is concise but lacks structure. It does not front-load key details or use formatting to enhance readability.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no output schema and no annotations, the description should provide more context about return values, side effects, and edge cases. It fails to do so, leaving gaps for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the schema already documents parameters well. The description adds no additional semantic value beyond what is in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the action (extract) and resource (PDF pages) and outcome (into a new file). However, it does not differentiate from the sibling tool 'extract_pages', which could cause confusion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like 'extract_pages'. No context on prerequisites or preferred scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_pdf_metadataB
Update metadata (title, author, subject, keywords) of a PDF file.
| Name | Required | Description | Default |
|---|---|---|---|
| filePath | Yes | Absolute path to the PDF file | |
| metadata | Yes | Metadata fields to update | |
| outputPath | No | Optional output path (defaults to overwriting original) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully convey behavioral traits. It only says 'update metadata' but does not disclose that the file is overwritten by default (though the outputPath schema parameter mentions this), nor does it mention permissions, side effects, or error scenarios.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler, directly conveying the core purpose and scope. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple operation (updating metadata) and rich schema, the description is adequate but lacks usage context and behavioral details that would help an agent decide when to invoke it. It meets the minimum viable standard.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with clear parameter descriptions. The main description mentions the metadata fields but adds little beyond the schema. The outputPath default behavior is already in the schema, so the description provides minimal additional value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'update', the resource 'PDF file metadata', and lists the specific fields (title, author, subject, keywords). It is distinct from sibling tools like create_pdf, extract_pages, or split_pdf, which perform different operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It merely states what the tool does without context.
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.
7 tool updates
v1.0.0- First observed
create_pdf - First observed
extract_pages - First observed
get_pdf_info - First observed
merge_pdfs - First observed
read_pdf - First observed
split_pdf - First observed
update_pdf_metadata
TDQS
Scored across 7 tools
Most tools are distinct, but extract_pages and split_pdf have overlapping functionality; both extract specific pages, differing only in output format (separate files vs. single file). This could confuse an agent.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_pdf, merge_pdfs, read_pdf), making them predictable and easy to learn.
With 7 tools, the server is well-scoped for a PDF utility; each tool serves a distinct core operation without being too few or too many.
Core operations (create, read, merge, split, metadata) are covered, but common features like content editing (delete/rotate pages) or format conversion are missing, and the extract/split tools seem redundant.
Maintenance
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