Skip to main content
Glama
pdfdotco

PDF.co MCP Server

Official
by pdfdotco

excel_to_pdf

Convert Excel files (XLS, XLSX) to PDF format using the PDF.co MCP Server. Transform spreadsheets into shareable PDF documents for distribution or printing.

Instructions

Convert Excel(XLS, XLSX) to PDF.
Ref: https://developer.pdf.co/api-reference/convert-from-excel/pdf.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to the source file (XLS, XLSX). Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files.
httpusernameNoHTTP auth user name if required to access source url. (Optional)
httppasswordNoHTTP auth password if required to access source url. (Optional)
nameNoFile name for the generated output. (Optional)
worksheetIndexNoIndex of the worksheet to convert. (Optional)
api_keyNoPDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional)

Implementation Reference

  • Primary handler for the 'excel_to_pdf' MCP tool. Decorated with @mcp.tool() for automatic registration and schema inference from parameters. Constructs ConversionParams and calls convert_to('xls', 'pdf') to perform the conversion.
    @mcp.tool()
    async def excel_to_pdf(
        url: str = Field(
            description="URL to the source file (XLS, XLSX). Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files."
        ),
        httpusername: str = Field(
            description="HTTP auth user name if required to access source url. (Optional)",
            default="",
        ),
        httppassword: str = Field(
            description="HTTP auth password if required to access source url. (Optional)",
            default="",
        ),
        name: str = Field(
            description="File name for the generated output. (Optional)", default=""
        ),
        worksheetIndex: str = Field(
            description="Index of the worksheet to convert. (Optional)", default=""
        ),
        api_key: str = Field(
            description="PDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional)",
            default="",
        ),
    ) -> BaseResponse:
        """
        Convert Excel(XLS, XLSX) to PDF.
        Ref: https://developer.pdf.co/api-reference/convert-from-excel/pdf.md
        """
        return await convert_to(
            "xls",
            "pdf",
            ConversionParams(
                url=url,
                httpusername=httpusername,
                httppassword=httppassword,
                name=name,
                worksheetIndex=worksheetIndex,
                api_key=api_key,
            ),
        )
  • Helper function used by excel_to_pdf and similar tools to route conversion requests to the appropriate PDF.co API endpoint via the generic 'request' function.
    async def convert_to(
        _from: str, _to: str, params: ConversionParams, api_key: str | None = None
    ) -> BaseResponse:
        return await request(f"{_from}/convert/to/{_to}", params, api_key=api_key)
  • Pydantic model defining input parameters for conversion tools, including those specific to excel_to_pdf like worksheetIndex. Provides validation and serialization to API payload.
    class ConversionParams(BaseModel):
        url: str = Field(
            description="URL to the source file. Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files.",
            default="",
        )
        httpusername: str = Field(
            description="HTTP auth user name if required to access source url. (Optional)",
            default="",
        )
        httppassword: str = Field(
            description="HTTP auth password if required to access source url. (Optional)",
            default="",
        )
        pages: str = Field(
            description="Comma-separated page indices (e.g., '0, 1, 2-' or '1, 3-7'). Use '!' for inverted page numbers (e.g., '!0' for last page). Processes all pages if None. (Optional)",
            default="",
        )
        unwrap: bool = Field(
            description="Unwrap lines into a single line within table cells when lineGrouping is enabled. Must be true or false. (Optional)",
            default=False,
        )
        rect: str = Field(
            description="Defines coordinates for extraction (e.g., '51.8,114.8,235.5,204.0'). (Optional)",
            default="",
        )
        lang: str = Field(
            description="Language for OCR for scanned documents. Default is 'eng'. See PDF.co docs for supported languages. (Optional, Default: 'eng')",
            default="eng",
        )
        line_grouping: str = Field(
            description="Enables line grouping within table cells when set to '1'. (Optional)",
            default="0",
        )
        password: str = Field(
            description="Password of the PDF file. (Optional)", default=""
        )
        name: str = Field(
            description="File name for the generated output. (Optional)", default=""
        )
        autosize: bool = Field(
            description="Controls automatic page sizing. If true, page dimensions adjust to content. If false, uses worksheet’s page setup. (Optional)",
            default=False,
        )
    
        html: str = Field(
            description="Input HTML code to be converted. To convert the link to a PDF use the /pdf/convert/from/url endpoint instead.",
            default="",
        )
        templateId: str = Field(
            description="Set to the ID of your HTML template. You can find and copy the ID from HTML to PDF Templates.",
            default="",
        )
        templateData: str = Field(
            description="Set it to a string with input JSON data (recommended) or CSV data.",
            default="",
        )
        margins: str = Field(
            description="Set to CSS style margins like 10px, 5mm, 5in for all sides or 5px 5px 5px 5px (the order of margins is top, right, bottom, left). (Optional)",
            default="",
        )
        paperSize: str = Field(
            description="A4 is set by default. Can be Letter, Legal, Tabloid, Ledger, A0, A1, A2, A3, A4, A5, A6 or a custom size. Custom size can be set in px (pixels), mm or in (inches) with width and height separated by space like this: 200 300, 200px 300px, 200mm 300mm, 20cm 30cm or 6in 8in. (Optional)",
            default="",
        )
        orientation: str = Field(
            description="Set to Portrait or Landscape. Portrait is set by default. (Optional)",
            default="",
        )
        printBackground: bool = Field(
            description="true by default. Set to false to disable printing of background. (Optional)",
            default=True,
        )
        mediaType: str = Field(
            description="Uses print by default. Set to screen to convert HTML as it appears in a browser or print to convert as it appears for printing or none to set none as mediaType for CSS styles. (Optional)",
            default="",
        )
        DoNotWaitFullLoad: bool = Field(
            description="false by default. Set to true to skip waiting for full load (like full video load etc. that may affect the total conversion time). (Optional)",
            default=False,
        )
        header: str = Field(
            description="User definable HTML for the header to be applied on every page header. (Optional)",
            default="",
        )
        footer: str = Field(
            description="User definable HTML for the footer to be applied on every page footer. (Optional)",
            default="",
        )
    
        worksheetIndex: str = Field(
            description="Index of the worksheet to convert. (Optional)", default=""
        )
    
        def parse_payload(self, async_mode: bool = True):
            payload = {
                "async": async_mode,
            }
            if self.url:
                payload["url"] = self.url
            if self.httpusername:
                payload["httpusername"] = self.httpusername
            if self.httppassword:
                payload["httppassword"] = self.httppassword
            if self.pages:
                payload["pages"] = self.pages
            if self.unwrap:
                payload["unwrap"] = self.unwrap
            if self.rect:
                payload["rect"] = self.rect
            if self.lang:
                payload["lang"] = self.lang
            if self.line_grouping:
                payload["lineGrouping"] = self.line_grouping
            if self.password:
                payload["password"] = self.password
            if self.name:
                payload["name"] = self.name
            if self.autosize:
                payload["autosize"] = self.autosize
    
            if self.html:
                payload["html"] = self.html
            if self.templateId:
                payload["templateId"] = self.templateId
            if self.templateData:
                payload["templateData"] = self.templateData
            if self.margins:
                payload["margins"] = self.margins
            if self.paperSize:
                payload["paperSize"] = self.paperSize
            if self.orientation:
                payload["orientation"] = self.orientation
            if self.printBackground:
                payload["printBackground"] = self.printBackground
            if self.mediaType:
                payload["mediaType"] = self.mediaType
            if self.DoNotWaitFullLoad:
                payload["DoNotWaitFullLoad"] = self.DoNotWaitFullLoad
            if self.header:
                payload["header"] = self.header
            if self.footer:
                payload["footer"] = self.footer
    
            if self.worksheetIndex:
                payload["worksheetIndex"] = self.worksheetIndex
    
            return payload
  • Core HTTP request helper that sends the conversion job to PDF.co API asynchronously, handles response, and returns BaseResponse. Used by convert_to.
    async def request(
        endpoint: str,
        params: ConversionParams,
        custom_payload: dict | None = None,
        api_key: str | None = None,
    ) -> BaseResponse:
        payload = params.parse_payload(async_mode=True)
        if custom_payload:
            payload.update(custom_payload)
    
        try:
            async with PDFCoClient(api_key=api_key) as client:
                url = f"/v1/{endpoint}"
                print(f"Requesting {url} with payload {payload}", file=sys.stderr)
                response = await client.post(url, json=payload)
                print(f"response: {response}", file=sys.stderr)
                json_data = response.json()
                return BaseResponse(
                    status="working",
                    content=json_data,
                    credits_used=json_data.get("credits"),
                    credits_remaining=json_data.get("remainingCredits"),
                    tips=f"You **should** use the 'wait_job_completion' tool to wait for the job [{json_data.get('jobId')}] to complete if a jobId is present.",
                )
        except Exception as e:
            return BaseResponse(
                status="error",
                content=f"{type(e)}: {[arg for arg in e.args if arg]}",
            )
  • Async context manager for HTTPX AsyncClient configured with PDF.co API base URL and API key, used by the request function to make API calls.
    @asynccontextmanager
    async def PDFCoClient(api_key: str | None = None) -> AsyncGenerator[AsyncClient, None]:
        # Use provided API key, fall back to environment variable
        x_api_key = api_key or X_API_KEY
    
        if not x_api_key:
            raise ValueError("""API key is required. Please provide an API key as a parameter or set X_API_KEY in the environment variables.
            
            To get the API key:
            1. Sign up at https://pdf.co
            2. Get the API key from the dashboard
            3. Either set it as an environment variable or provide it as a parameter
            
            Environment variable setup example (.cursor/mcp.json):
            ```json
            {
                "mcpServers": {
                    "pdfco": {
                        "command": "uvx",
                        "args": [
                            "pdfco-mcp"
                        ],
                        "env": {
                            "X_API_KEY": "YOUR_API_KEY"
                        }
                    }
                }
            }
            ```
            
            Or provide the API key as a parameter when calling the tool.
            """)
    
        client = AsyncClient(
            base_url=__BASE_URL,
            headers={
                "x-api-key": x_api_key,
                "User-Agent": f"pdfco-mcp/{__version__}",
            },
        )
        try:
            yield client
        finally:
            await client.aclose()
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the conversion action but lacks details on permissions, rate limits, error handling, or output behavior (e.g., file generation, download links). The reference link might contain more info, but the description itself is minimal, leaving gaps for an AI agent.

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 extremely concise with just two sentences: one stating the purpose and one providing a reference link. It's front-loaded with the core function, and every sentence serves a purpose, making it efficient and well-structured.

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

Completeness2/5

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

Given the tool's complexity (conversion with 6 parameters, no annotations, no output schema), the description is incomplete. It lacks information on output format, error cases, or integration details, relying on an external link. For a tool with no structured support, the description should provide more context to guide the agent effectively.

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

Parameters3/5

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

The schema description coverage is 100%, so the schema already documents all parameters thoroughly (e.g., URL, authentication, file naming). The description doesn't add any parameter-specific details beyond the general conversion purpose, meeting the baseline of 3 where the schema does the heavy lifting without extra value from the description.

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 tool's purpose: 'Convert Excel(XLS, XLSX) to PDF.' It specifies the verb (convert) and resources (Excel files to PDF), which is straightforward. However, it doesn't explicitly differentiate from sibling tools like 'excel_to_csv' or 'excel_to_html' beyond the output format, keeping it from a perfect score.

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 includes a reference link that might imply usage context, but it doesn't explicitly state when to use this tool versus alternatives like 'excel_to_csv' or 'pdf_to_xlsx'. It mentions the 'upload_file' tool in the schema for local files, which provides some guidance, but this is not in the description itself, so usage is only implied.

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

Install Server

Other Tools

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/pdfdotco/pdfco-mcp'

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