mcp-image-extractor (ifmelate/mcp-image-extractor) is an MCP server listed on the M8ven Trust Index. It scores 56 out of 100, grade D. It declares 3 tools. No publisher has claimed this listing.
MCP server for extracting and converting images to base64 for LLM analysis.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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ifmelate
Source: mcp.so · also listed on ModelScope
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
extract_image_from_fileExtract and analyze images from local file paths. Supports visual content understanding, OCR text extraction, and object recognition for screenshots, photos, diagrams, and documents.
extract_image_from_urlExtract and analyze images from web URLs. Perfect for analyzing web screenshots, online photos, diagrams, or any image accessible via HTTP/HTTPS for visual content analysis and text extraction.
extract_image_from_base64Extract and analyze images from base64-encoded data. Ideal for processing screenshots from clipboard, dynamically generated images, or images embedded in applications without requiring file system access.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`
axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge
Axios is Vulnerable to Denial of Service via __proto__ Key in mergeConfig
ALLOWED_DOMAINSMAX_IMAGE_DIMENSIONMAX_IMAGE_SIZEURL_FETCH_TIMEOUT_MSTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
3/3 tools missing one or more hints — extract_image_from_file (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); extract_image_from_url (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); extract_image_from_base64 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool handlers catch errors
Only 0/3 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
Tool test coverage
Only 0/3 tools referenced in tests (0%)
Write tests that reference each tool by name so every tool has at least one test.
Production dependencies are patched
0 critical, 16 high severity in production deps — @modelcontextprotocol/sdk@1.6.1 (high), @modelcontextprotocol/sdk@1.6.1 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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