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add support for converting MCP types (images, pdfs. etc) to langchain tool artifacts #107

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add support for converting MCP types (images, pdfs. etc) to langchain tool artifacts #107

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35 changes: 33 additions & 2 deletions langchain_mcp_adapters/tools.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,10 +11,41 @@
from mcp.types import (
Tool as MCPTool,
)
from pydantic.networks import AnyUrl

NonTextContent = ImageContent | EmbeddedResource


def _convert_mcp_artifact_types_to_langchain(non_text_content):
if isinstance(non_text_content, ImageContent):
return {
"type": "image_url",
"image_url": {"url": non_text_content.data},
}
elif isinstance(non_text_content, EmbeddedResource):
if hasattr(non_text_content, 'resource'):
artifact_resource = non_text_content.resource
if hasattr(artifact_resource, 'blob'):
artifact_name = artifact_resource.blob
else:
raise Exception("No blob found in the artifact")
if hasattr(artifact_resource, 'uri'):
artifact_uri = artifact_resource.uri
if isinstance(artifact_uri, AnyUrl):
if artifact_uri.scheme:
file_data = artifact_uri.scheme + ":" + artifact_uri.path
else:
file_data = artifact_uri.path
else:
raise Exception("No uri found in the artifact")
else:
raise Exception("No uri found in the artifact")
return {
"type": "file",
"file": {"filename": artifact_name, "file_data": file_data},
}
else:
raise NotImplementedError("Artifact type not supported")

def _convert_call_tool_result(
call_tool_result: CallToolResult,
) -> tuple[str | list[str], list[NonTextContent] | None]:
Expand All @@ -24,7 +55,7 @@ def _convert_call_tool_result(
if isinstance(content, TextContent):
text_contents.append(content)
else:
non_text_contents.append(content)
non_text_contents.append(_convert_mcp_artifact_types_to_langchain(content))

tool_content: str | list[str] = [content.text for content in text_contents]
if len(text_contents) == 1:
Expand Down