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docs: comprehensive feature documentation for SEP-1730 Tier 1
Add documentation for all 48 non-experimental MCP features, closing the documentation gap for SEP-1730 Tier 1 compliance. New files: - docs/server.md: tools (all result types, change notifications), resources (text/binary, templates, subscribing/unsubscribing, change notifications), prompts (simple/args/embedded resources/images, change notifications), logging (messages + set level), completions, sampling, elicitation (form/URL/schema/defaults/enums/complete notification), transports - docs/client.md: roots (listing + change notifications), transports (stdio/HTTP/SSE), using server features (tools/resources/prompts/completions) - docs/protocol.md: ping, progress, cancellation, pagination, capability negotiation, protocol version negotiation, JSON Schema 2020-12 Modified: - README.md: added links to new docs - docs/index.md: added Guides section linking all doc files All 66 code snippets verified against SDK source and runtime-tested.
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README.md

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## Documentation
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- [Building Servers](docs/server.md) - tools, resources, prompts, logging, elicitation, sampling, completions, and transports
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- [Writing Clients](docs/client.md) - connecting to servers, roots, and client transports
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- [Protocol Features](docs/protocol.md) - ping, progress, cancellation, pagination, capability negotiation
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- [Authorization](docs/authorization.md) - OAuth 2.1, token verification, and client authentication
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- [Low-Level Server](docs/low-level-server.md) - direct handler registration for advanced use cases
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- [Testing](docs/testing.md) - in-memory transport testing with pytest
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- [Concepts](docs/concepts.md) - architecture overview
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- [API Reference](https://modelcontextprotocol.github.io/python-sdk/api/)
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- [Experimental Features (Tasks)](https://modelcontextprotocol.github.io/python-sdk/experimental/tasks/)
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- [Model Context Protocol documentation](https://modelcontextprotocol.io)

docs/client.md

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# Writing MCP Clients
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This guide covers building MCP clients -- programs that connect to MCP servers and use
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their tools, resources, prompts, and other capabilities.
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## Client Session Basics
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Every MCP client starts by opening a transport connection and creating a `ClientSession`.
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The session handles the MCP protocol lifecycle: initialization, request/response exchange,
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and shutdown.
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```python
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from mcp import ClientSession, StdioServerParameters
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from mcp.client.stdio import stdio_client
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server_params = StdioServerParameters(command="uv", args=["run", "my-server"])
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async with stdio_client(server_params) as (read_stream, write_stream):
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async with ClientSession(read_stream, write_stream) as session:
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await session.initialize()
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# Session is now ready to use
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```
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## Transports
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### stdio Transport
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The `stdio_client` context manager spawns a subprocess and communicates over
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stdin/stdout. This is the most common transport for local servers.
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```python
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from mcp import ClientSession, StdioServerParameters
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from mcp.client.stdio import stdio_client
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server_params = StdioServerParameters(
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command="uv",
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args=["run", "my-server"],
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env={"API_KEY": "secret"}, # merged with safe defaults
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cwd="/path/to/working/dir",
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)
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async with stdio_client(server_params) as (read_stream, write_stream):
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async with ClientSession(read_stream, write_stream) as session:
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await session.initialize()
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```
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### Streamable HTTP Transport
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The `streamablehttp_client` connects to a remote server over HTTP, with optional
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SSE streaming for server-to-client messages.
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```python
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from mcp import ClientSession
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from mcp.client.streamable_http import streamablehttp_client
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async with streamablehttp_client("http://localhost:8000/mcp") as (
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read_stream,
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write_stream,
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get_session_id,
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):
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async with ClientSession(read_stream, write_stream) as session:
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await session.initialize()
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# get_session_id() returns the server-assigned session ID, or None
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```
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### SSE Transport (Legacy)
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The `sse_client` context manager connects to a server using the legacy
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Server-Sent Events transport. This transport is deprecated in favor of Streamable
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HTTP, but remains available for backward compatibility with older servers.
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```python
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from mcp import ClientSession
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from mcp.client.sse import sse_client
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async with sse_client(
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url="http://localhost:8000/sse",
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headers={"Authorization": "Bearer token"},
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timeout=5, # HTTP timeout for regular operations
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sse_read_timeout=300, # how long to wait for a new SSE event
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) as (read_stream, write_stream):
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async with ClientSession(read_stream, write_stream) as session:
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await session.initialize()
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```
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## Roots
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Roots tell the server which directories or files the client is making available.
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A server may request the list of roots at any time during a session.
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### Providing Roots
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Supply a `list_roots_callback` when constructing the `ClientSession`. The callback
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receives a `RequestContext` and must return a `ListRootsResult`.
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```python
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from mcp import ClientSession, types
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from mcp.client.stdio import stdio_client
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from mcp.shared.context import RequestContext
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async def handle_list_roots(
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context: RequestContext[ClientSession, None],
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) -> types.ListRootsResult:
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return types.ListRootsResult(
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roots=[
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types.Root(
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uri="file:///home/user/project",
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name="My Project",
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),
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types.Root(
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uri="file:///home/user/data",
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name="Data Directory",
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),
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]
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)
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server_params = StdioServerParameters(command="uv", args=["run", "my-server"])
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async with stdio_client(server_params) as (read_stream, write_stream):
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async with ClientSession(
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read_stream,
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write_stream,
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list_roots_callback=handle_list_roots,
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) as session:
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await session.initialize()
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```
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When a `list_roots_callback` is provided, the client automatically advertises the
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`roots` capability (with `listChanged=True`) during initialization.
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### Sending Roots Changed Notifications
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When the set of roots changes after initialization, notify the server so it can
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re-request the list:
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```python
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# After updating what handle_list_roots would return:
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await session.send_roots_list_changed()
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```
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The server will then call the `list_roots_callback` again to get the updated list.
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## Tools
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### Listing Tools
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```python
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result = await session.list_tools()
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for tool in result.tools:
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print(f"{tool.name}: {tool.description}")
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```
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Paginated listing is supported via `PaginatedRequestParams`:
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```python
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result = await session.list_tools()
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while result.nextCursor:
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result = await session.list_tools(
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params=types.PaginatedRequestParams(cursor=result.nextCursor)
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)
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```
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### Calling Tools
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```python
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result = await session.call_tool(
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"get_weather",
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arguments={"city": "San Francisco"},
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)
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for content in result.content:
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if isinstance(content, types.TextContent):
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print(content.text)
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```
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You can pass a `read_timeout_seconds` for long-running tools and a
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`progress_callback` for progress updates:
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```python
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from datetime import timedelta
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async def on_progress(
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progress: float, total: float | None, message: str | None
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) -> None:
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print(f"Progress: {progress}/{total} - {message}")
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result = await session.call_tool(
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"long_running_analysis",
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arguments={"dataset": "large.csv"},
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read_timeout_seconds=timedelta(minutes=5),
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progress_callback=on_progress,
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)
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```
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## Resources
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### Listing Resources
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```python
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result = await session.list_resources()
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for resource in result.resources:
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print(f"{resource.uri}: {resource.name}")
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```
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### Listing Resource Templates
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```python
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result = await session.list_resource_templates()
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for template in result.resourceTemplates:
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print(f"{template.uriTemplate}: {template.name}")
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```
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### Reading Resources
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```python
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from pydantic import AnyUrl
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result = await session.read_resource(AnyUrl("file:///path/to/file.txt"))
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for content in result.contents:
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if isinstance(content, types.TextResourceContents):
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print(content.text)
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elif isinstance(content, types.BlobResourceContents):
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print(f"Binary data: {len(content.blob)} bytes")
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```
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## Prompts
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### Listing Prompts
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```python
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result = await session.list_prompts()
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for prompt in result.prompts:
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print(f"{prompt.name}: {prompt.description}")
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```
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### Getting a Prompt
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```python
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result = await session.get_prompt(
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"code_review",
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arguments={"language": "python", "code": "def hello(): pass"},
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)
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print(f"Description: {result.description}")
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for message in result.messages:
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print(f"[{message.role}]: {message.content}")
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```
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## Completions
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The `complete` method requests argument completions from the server. This is useful
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for building interactive UIs where users fill in prompt or resource template arguments.
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```python
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# Complete a prompt argument
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result = await session.complete(
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ref=types.PromptReference(type="ref/prompt", name="code_review"),
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argument={"name": "language", "value": "py"},
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)
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for value in result.completion.values:
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print(value) # e.g., "python"
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# Complete a resource template argument
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result = await session.complete(
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ref=types.ResourceTemplateReference(
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type="ref/resource", uri="file:///{path}"
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),
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argument={"name": "path", "value": "/home/user/"},
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)
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```
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## Ping
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Send a ping to verify the server is responsive:
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```python
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await session.send_ping()
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```
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## Logging
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Set the server's logging level and handle log messages via a callback:
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```python
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async def handle_log(params: types.LoggingMessageNotificationParams) -> None:
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print(f"[{params.level}] {params.logger}: {params.data}")
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async with ClientSession(
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read_stream,
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write_stream,
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logging_callback=handle_log,
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) as session:
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await session.initialize()
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await session.set_logging_level("info")
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```
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## Full Example
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Putting it all together -- a client that connects to a server, lists its
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capabilities, and calls a tool:
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```python
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import anyio
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from mcp import ClientSession, StdioServerParameters, types
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from mcp.client.stdio import stdio_client
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async def main() -> None:
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server_params = StdioServerParameters(
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command="uv", args=["run", "my-server"]
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)
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async with stdio_client(server_params) as (read_stream, write_stream):
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async with ClientSession(read_stream, write_stream) as session:
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await session.initialize()
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# List available tools
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tools_result = await session.list_tools()
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for tool in tools_result.tools:
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print(f"Tool: {tool.name}")
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# List available resources
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resources_result = await session.list_resources()
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for resource in resources_result.resources:
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print(f"Resource: {resource.uri}")
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# Call a tool
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result = await session.call_tool(
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"greet", arguments={"name": "World"}
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)
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print(result.content[0].text)
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anyio.run(main)
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```

docs/index.md

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## Getting Started
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<!-- TODO(Marcelo): automatically generate the follow references with a header on each of those files. -->
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1. **[Install](installation.md)** the MCP SDK
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2. **[Learn concepts](concepts.md)** - understand the three primitives and architecture
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3. **[Explore authorization](authorization.md)** - add security to your servers
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4. **[Use low-level APIs](low-level-server.md)** - for advanced customization
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## Guides
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- **[Building Servers](server.md)** - tools, resources, prompts, logging, elicitation, sampling, completions, and server transports
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- **[Writing Clients](client.md)** - connecting to servers, using tools/resources/prompts, roots, and client transports
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- **[Protocol Features](protocol.md)** - ping, progress, cancellation, pagination, capability negotiation, and JSON Schema 2020-12
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- **[Authorization](authorization.md)** - OAuth 2.1, token verification, and client authentication
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- **[Low-Level Server](low-level-server.md)** - direct handler registration for advanced use cases
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- **[Testing](testing.md)** - in-memory transport testing with pytest
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## API Reference
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