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You can install this server in [Claude Desktop](https://claude.ai/download) and interact with it right away by running:
You can install this server in [Claude Code](https://docs.claude.com/en/docs/claude-code/mcp) and interact with it right away. First, run the server:
```bash
uv run mcp install server.py
uv run --with mcp examples/snippets/servers/fastmcp_quickstart.py
```
Alternatively, you can test it with the MCP Inspector:
Then add it to Claude Code:
```bash
uv run mcp dev server.py
claude mcp add --transport http my-server http://localhost:8000/mcp
```
Alternatively, you can test it with the MCP Inspector. Start the server as above, then in a separate terminal:
```bash
npx -y @modelcontextprotocol/inspector
```
In the inspector UI, connect to `http://localhost:8000/mcp`.
## What is MCP?
The [Model Context Protocol (MCP)](https://modelcontextprotocol.io) lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. Think of it like a web API, but specifically designed for LLM interactions. MCP servers can:
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@@ -888,6 +901,7 @@ class SimpleTokenVerifier(TokenVerifier):
# Create FastMCP instance as a Resource Server
mcp = FastMCP(
"Weather Service",
json_response=True,
# Token verifier for authentication
token_verifier=SimpleTokenVerifier(),
# Auth settings for RFC 9728 Protected Resource Metadata
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@@ -1103,7 +1117,7 @@ Note that `uv run mcp run` or `uv run mcp dev` only supports server using FastMC
### Streamable HTTP Transport
> **Note**: Streamable HTTP transport is superseding SSE transport for production deployments.
> **Note**: Streamable HTTP transport is the recommended transport for production deployments. Use `stateless_http=True` and `json_response=True` for optimal scalability.
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docs: Update examples to use stateless HTTP with JSON responses #1499
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docs: Update examples to use stateless HTTP with JSON responses #1499
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