Skip to main content
Glama
aenron

TextIn xParse MCP Server

by aenron

TextIn xParse MCP Server

SSE MCP server for TextIn xParse document parsing.

The server exposes these MCP tools:

  • parse_run: maps to client.parse.run()

  • parse_run_url: downloads a file URL, then maps to client.parse.run()

  • parse_create_job: maps to client.parse.create_job()

  • parse_get_job: maps to client.parse.get_job()

  • parse_wait_job: maps to client.parse.wait_job()

Setup

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
pip install -e .

Configure authentication with environment variables only:

$env:TEXTIN_APP_ID="your-app-id"
$env:TEXTIN_SECRET_CODE="your-secret-code"

Do not pass credentials as MCP tool arguments. The server constructs XParseClient() without explicit credentials so the official SDK reads its environment variables.

To use a custom TextIn-compatible server address, set TEXTIN_SERVER_URL:

$env:TEXTIN_SERVER_URL="https://your-server.example.com"

When TEXTIN_SERVER_URL is unset, the official SDK default server is used.

The MCP tools accept file content as base64 or as a downloadable file URL. Decoded or downloaded file size is limited by MAX_FILE_BYTES, which defaults to 52428800 bytes.

Related MCP server: MCP Document Parse Tool

Run

textin-mcp

The default transport is SSE. You can also pass an explicit transport:

textin-mcp --transport sse

The server listens on 127.0.0.1:8000 by default. Override this for container or remote access:

$env:MCP_HOST="0.0.0.0"
$env:MCP_PORT="8000"
textin-mcp --transport sse

Docker

Build the image:

docker build -t textin-mcp .

Run the SSE MCP server:

docker run --rm -p 8000:8000 `
  -e TEXTIN_APP_ID="your-app-id" `
  -e TEXTIN_SECRET_CODE="your-secret-code" `
  -e TEXTIN_SERVER_URL="https://your-server.example.com" `
  -e MAX_FILE_BYTES="52428800" `
  textin-mcp

Or run with Docker Compose:

docker compose up --build

Compose reads TEXTIN_APP_ID, TEXTIN_SECRET_CODE, optional TEXTIN_SERVER_URL, and optional MAX_FILE_BYTES from your environment or .env file. It injects the TextIn credentials into both services because the /workspace page parses files through the file-to-base64 helper. It starts the MCP SSE service on host port 8004 and the file-to-base64 helper on host port 8005.

File to Base64 Helper

The helper is a regular HTTP service, not an MCP SSE endpoint. It accepts a multipart file upload and returns the payload needed by parse_run or parse_create_job.

Run locally:

textin-file-base64

By default it listens on 0.0.0.0:8001. Override with:

$env:FILE_BASE64_HOST="0.0.0.0"
$env:FILE_BASE64_PORT="8001"
textin-file-base64

Request:

curl.exe -X POST "http://127.0.0.1:8005/file-to-base64" `
  -F "file=@D:\docs\example.pdf"

Response:

{
  "filename": "example.pdf",
  "mime_type": "application/pdf",
  "size": 12345,
  "base64": "JVBERi0x..."
}

The same service also provides a simple browser upload and download UI:

  • GET /: upload page

  • GET /workspace: online document parsing workspace

  • POST /upload: upload and store a file

  • POST /parse-url: parse a stored file URL and return parsing results

  • GET /files/{file_id}: download a stored file

  • GET /files/{file_id}/base64: get stored file content as base64

POST /upload returns:

{
  "file_id": "abc123",
  "filename": "example.pdf",
  "mime_type": "application/pdf",
  "size": 12345,
  "download_url": "http://168.8.6.168:8005/files/abc123",
  "base64_url": "http://168.8.6.168:8005/files/abc123/base64"
}

Stored files are written under FILE_STORAGE_DIR, which defaults to /data/files in the container. Docker Compose mounts this path to the file_storage volume.

Uploaded files are cleaned up automatically. By default, files older than 7 days are removed every hour:

$env:FILE_RETENTION_SECONDS="604800"
$env:FILE_CLEANUP_INTERVAL_SECONDS="3600"

Set FILE_RETENTION_SECONDS=0 to disable automatic cleanup.

Set FILE_PUBLIC_BASE_URL when users access the helper from another machine so upload results contain complete URLs with the reachable host:

$env:FILE_PUBLIC_BASE_URL="http://168.8.6.168:8005"
docker compose up --build

Tools

parse_run

Synchronously parse a base64-encoded document.

Parameters:

  • filename: document filename, for example example.pdf

  • file_base64: base64-encoded document content

  • page_range: optional page range, for example 1-10

  • password: optional encrypted PDF password

  • include_hierarchy

  • include_inline_objects

  • include_char_details

  • include_image_data

  • include_table_structure

  • pages

  • title_tree

  • table_view: markdown or html

parse_run_url

Synchronously parse a document from a downloadable file URL.

Parameters:

  • file_url: downloadable file URL, for example http://168.8.6.168:8005/files/abc123

  • filename: optional document filename override; when omitted, the filename is inferred from file_url

  • all parse configuration parameters supported by parse_run

parse_create_job

Create an asynchronous parsing job.

Parameters:

  • filename: document filename, for example example.pdf

  • file_base64: base64-encoded document content

  • webhook: optional completion callback URL

  • all parse configuration parameters supported by parse_run

parse_get_job

Query an asynchronous parsing job.

Parameters:

  • job_id

parse_wait_job

Poll until an asynchronous parsing job finishes.

Parameters:

  • job_id

  • timeout: default 300.0

  • poll_interval: default 5.0

  • download_result: when true, downloads result_url after completion

MCP Client Example

{
  "mcpServers": {
    "textin-xparse": {
      "url": "http://127.0.0.1:8000/sse"
    }
  }
}

Reference

F
license - not found
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

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

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/aenron/textin-mcp'

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