Mistral OCR
The MCP Mistral OCR server provides optical character recognition capabilities by leveraging Mistral AI's OCR API. It processes both local files and URLs, supporting various image formats (JPG, PNG, WebP) and PDFs, with results saved as timestamped JSON files. The implementation includes Docker containerization for easy deployment, configurable environment variables for API authentication and file storage, and offers two primary tools: process_local_file for handling files from a configured directory and process_url_file for processing remote documents with explicit file type specification. This server is particularly useful for workflows requiring text extraction from visual documents within AI assistant conversations.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/everaldo/mcp-mistral-ocr
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Mistral OCR 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.