diff --git a/docs/integrations/anthropic.mdx b/docs/integrations/anthropic.mdx index e9ebe8601..476569b42 100644 --- a/docs/integrations/anthropic.mdx +++ b/docs/integrations/anthropic.mdx @@ -31,7 +31,7 @@ def roll_dice(n_dice: int) -> list[int]: return [random.randint(1, 6) for _ in range(n_dice)] if __name__ == "__main__": - mcp.run(transport="sse", port=8000) + mcp.run(transport="streamable-http", port=8000) ``` ## Deploy the Server @@ -70,7 +70,7 @@ You'll also need to authenticate with Anthropic. You can do this by setting the export ANTHROPIC_API_KEY="your-api-key" ``` -Here is an example of how to call your server from Python. Note that you'll need to replace `https://your-server-url.com` with the actual URL of your server. In addition, we use `/sse` as the endpoint because we deployed an SSE server with the default path; you may need to use a different endpoint if you customized your server's deployment. **At this time you must also include the `extra_headers` parameter with the `anthropic-beta` header.** +Here is an example of how to call your server from Python. Note that you'll need to replace `https://your-server-url.com` with the actual URL of your server. In addition, we use `/mcp/` as the endpoint because we deployed a streamable-HTTP server with the default path; you may need to use a different endpoint if you customized your server's deployment. **At this time you must also include the `extra_headers` parameter with the `anthropic-beta` header.** ```python {5, 13-22} import anthropic @@ -88,7 +88,7 @@ response = client.beta.messages.create( mcp_servers=[ { "type": "url", - "url": f"{url}/sse", + "url": f"{url}/mcp/", "name": "dice-server", } ], @@ -175,7 +175,7 @@ def roll_dice(n_dice: int) -> list[int]: if __name__ == "__main__": print(f"\n---\n\nšŸ”‘ Dice Roller access token:\n\n{access_token}\n\n---\n") - mcp.run(transport="sse", port=8000) + mcp.run(transport="streamable-http", port=8000) ``` ### Client Authentication @@ -213,7 +213,7 @@ response = client.beta.messages.create( mcp_servers=[ { "type": "url", - "url": f"{url}/sse", + "url": f"{url}/mcp/", "name": "dice-server", "authorization_token": access_token } diff --git a/docs/integrations/openai.mdx b/docs/integrations/openai.mdx index ba0d00941..fe3447dec 100644 --- a/docs/integrations/openai.mdx +++ b/docs/integrations/openai.mdx @@ -38,7 +38,7 @@ def roll_dice(n_dice: int) -> list[int]: return [random.randint(1, 6) for _ in range(n_dice)] if __name__ == "__main__": - mcp.run(transport="sse", port=8000) + mcp.run(transport="streamable-http", port=8000) ``` ### Deploy the Server @@ -77,7 +77,7 @@ You'll also need to authenticate with OpenAI. You can do this by setting the `OP export OPENAI_API_KEY="your-api-key" ``` -Here is an example of how to call your server from Python. Note that you'll need to replace `https://your-server-url.com` with the actual URL of your server. In addition, we use `/sse` as the endpoint because we deployed an SSE server with the default path; you may need to use a different endpoint if you customized your server's deployment. +Here is an example of how to call your server from Python. Note that you'll need to replace `https://your-server-url.com` with the actual URL of your server. In addition, we use `/mcp/` as the endpoint because we deployed a streamable-HTTP server with the default path; you may need to use a different endpoint if you customized your server's deployment. ```python {4, 11-16} from openai import OpenAI @@ -93,7 +93,7 @@ resp = client.responses.create( { "type": "mcp", "server_label": "dice_server", - "server_url": f"{url}/sse", + "server_url": f"{url}/mcp/", "require_approval": "never", }, ], @@ -172,7 +172,7 @@ def roll_dice(n_dice: int) -> list[int]: if __name__ == "__main__": print(f"\n---\n\nšŸ”‘ Dice Roller access token:\n\n{access_token}\n\n---\n") - mcp.run(transport="sse", port=8000) + mcp.run(transport="streamable-http", port=8000) ``` #### Client Authentication @@ -212,7 +212,7 @@ resp = client.responses.create( { "type": "mcp", "server_label": "dice_server", - "server_url": f"{url}/sse", + "server_url": f"{url}/mcp/", "require_approval": "never", "headers": { "Authorization": f"Bearer {access_token}"