japlete/md-vision-mcp
by Various
stdio MCP server to read or index markdown with images
MCP
japlete/md-vision-mcp
Added 24 June 2026
Overview
A stdio MCP server for reading or indexing markdown files that include images. It runs as a Python process and communicates via standard input/output, allowing integration with MCP-compatible tools.
Best for
Best for
Developers who need to handle markdown with images in MCP-based pipelines
Use cases
- Read markdown documents with embedded images in an MCP workflow
- Index markdown content for retrieval or search
- Process markdown files programmatically within MCP environments
How to use
Install
npm install md-vision Tools exposed
line_rangemax_images
Example client config
{\n "mcpServers": {\n "md-vision": {\n "command": "npx",\n "args": [\n "md-vision",\n "--allow-path",\n "/absolute/path/to/docs",\n "--allow-domain",\n "none"\n ]\n }\n }\n} Notes
A stdio MCP server for reading or indexing markdown files that include images. It runs as a Python process and communicates via standard input/output, allowing integration with MCP-compatible tools.
0 stars on GitHub. Last updated 2026-06-21. Licensed MIT.
Use cases
- Read markdown documents with embedded images in an MCP workflow
- Index markdown content for retrieval or search
- Process markdown files programmatically within MCP environments
Pros
- Simple stdio interface for easy integration
- Written in Python, widely accessible
- Open source with no vendor lock-in
Cons
- Zero stars indicates a new or unproven project
- Limited community support and documentation
- May lack advanced features or robustness
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple stdio interface for easy integration
- Written in Python, widely accessible
- Open source with no vendor lock-in
Cons
- Zero stars indicates a new or unproven project
- Limited community support and documentation
- May lack advanced features or robustness
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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