DocTranslate.io
This MCP server provides AI assistants with document translation and conversion capabilities through DocTranslate.io's API, built using Python with FastMCP and supporting multiple document formats including DOCX, PDF, PPTX, and XLSX. The implementation offers six core tools for translating documents with customizable tone and domain settings, converting documents to PPTX format with template selection, translating plain text with bilingual output options, retrieving translation results by task ID, accessing user translation history with filtering, and monitoring credit usage for cost management. Built with comprehensive language support covering 26 languages, flexible processing modes including bilingual text generation, custom dictionary integration, and HTTP-based deployment with API key authentication, it serves content creators needing multilingual document production, international businesses requiring automated document localization workflows, and teams wanting to integrate professional translation services into AI-assisted content management without direct API interaction.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/thinkprompt/doctranslateio-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve DocTranslate.io from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.