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Connect MCP clients to Affinity for scripting, rendering, and SDK documentation access.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "affinity-mcp-bridge" yet — see the docs or source repo.
Use affinity-mcp-bridge to connect to Affinity's local MCP server and run a script that exports all artboards in the current document as PNG files, then return the execution result and logs.
Returns the script status, exported file list, and related log details.
Use affinity-mcp-bridge to call Affinity rendering tools, render the current project as a high-resolution preview image, and report the output path and rendering parameters.
Produces a rendering summary with file location, format, resolution, and parameter details.
Use affinity-mcp-bridge to search the Affinity SDK documentation for layer manipulation APIs, example usage, and parameter descriptions, then summarize the findings clearly.
Outputs a relevant API list, key example code notes, and a summary of parameter explanations.
Dynamically bridge and register MCP capabilities with two-way client communication.
Connect MCP clients to WebMCP-enabled Chrome pages for tool discovery and execution.
Aggregate multiple MCP servers into a few fixed tools for AI apps.
Proxy a local Affinity MCP server over stdio for script execution and SDK search.
Connect ChatGPT to a Windows PC for files, shell, Git, and diagnostics.
Securely control a Mac remotely for shell, files, binaries, and screenshots.