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Don't require MCPServerStreamableHTTP and MCPServerSSE url to be a keyword argument #2758

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Merged
merged 2 commits into from
Sep 3, 2025
Merged

Don't require MCPServerStreamableHTTP and MCPServerSSE url to be a keyword argument #2758

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96ba75e
docs(docs/mcp/client.md): Changes argunments for MCPServerStreamableH…
franciscovilchezv Sep 1, 2025
773c362
Don't require MCPServerHTTP url to be a keyword argument
DouweM Sep 3, 2025
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16 changes: 8 additions & 8 deletions docs/mcp/client.md
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Original file line number Diff line number Diff line change
Expand Up @@ -114,7 +114,7 @@ deno run \
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerSSE

server = MCPServerSSE(url='http://localhost:3001/sse') # (1)!
server = MCPServerSSE('http://localhost:3001/sse') # (1)!
agent = Agent('openai:gpt-4o', toolsets=[server]) # (2)!


Expand Down Expand Up @@ -189,7 +189,7 @@ async def process_tool_call(
return await call_tool(name, tool_args, {'deps': ctx.deps})


server = MCPServerStdio('python', ['mcp_server.py'], process_tool_call=process_tool_call)
server = MCPServerStdio('python', args=['mcp_server.py'], process_tool_call=process_tool_call)
agent = Agent(
model=TestModel(call_tools=['echo_deps']),
deps_type=int,
Expand All @@ -216,12 +216,12 @@ from pydantic_ai.mcp import MCPServerSSE

# Create two servers with different prefixes
weather_server = MCPServerSSE(
url='http://localhost:3001/sse',
'http://localhost:3001/sse',
tool_prefix='weather' # Tools will be prefixed with 'weather_'
)

calculator_server = MCPServerSSE(
url='http://localhost:3002/sse',
'http://localhost:3002/sse',
tool_prefix='calc' # Tools will be prefixed with 'calc_'
)

Expand Down Expand Up @@ -263,7 +263,7 @@ http_client = httpx.AsyncClient(
)

server = MCPServerSSE(
url='http://localhost:3001/sse',
'http://localhost:3001/sse',
http_client=http_client, # (1)!
)
agent = Agent('openai:gpt-4o', toolsets=[server])
Expand Down Expand Up @@ -362,7 +362,7 @@ Using this server with an `Agent` will automatically allow sampling:
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStdio

server = MCPServerStdio(command='python', args=['generate_svg.py'])
server = MCPServerStdio('python', args=['generate_svg.py'])
agent = Agent('openai:gpt-4o', toolsets=[server])


Expand All @@ -382,7 +382,7 @@ You can disallow sampling by setting [`allow_sampling=False`][pydantic_ai.mcp.MC
from pydantic_ai.mcp import MCPServerStdio

server = MCPServerStdio(
command='python',
'python',
args=['generate_svg.py'],
allow_sampling=False,
)
Expand Down Expand Up @@ -502,7 +502,7 @@ async def handle_elicitation(

# Set up MCP server connection
restaurant_server = MCPServerStdio(
command='python', args=['restaurant_server.py'], elicitation_callback=handle_elicitation
'python', args=['restaurant_server.py'], elicitation_callback=handle_elicitation
)

# Create agent
Expand Down
4 changes: 2 additions & 2 deletions pydantic_ai_slim/pydantic_ai/mcp.py
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Expand Up @@ -457,6 +457,7 @@ def __init__(
self,
command: str,
args: Sequence[str],
*,
env: dict[str, str] | None = None,
cwd: str | Path | None = None,
tool_prefix: str | None = None,
Expand All @@ -469,7 +470,6 @@ def __init__(
sampling_model: models.Model | None = None,
max_retries: int = 1,
elicitation_callback: ElicitationFnT | None = None,
*,
id: str | None = None,
):
"""Build a new MCP server.
Expand Down Expand Up @@ -583,8 +583,8 @@ class _MCPServerHTTP(MCPServer):

def __init__(
self,
*,
url: str,
*,
headers: dict[str, str] | None = None,
http_client: httpx.AsyncClient | None = None,
id: str | None = None,
Expand Down