teardrop-sdk 0.1.1

Python SDK for the Teardrop AI agent API

teardrop-sdk

Python SDK for the Teardrop AI agent API.

Install

pip install teardrop-sdk

Quick Start

from teardrop import AsyncTeardropClient

async with AsyncTeardropClient(
    "https://api.teardrop.dev",
    email="[e-mail]",
    secret="your-password",
) as client:
    async for event in client.run("What is the ETH price on Base?"):
        if event.type == "TEXT_MESSAGE_CONTENT":
            print(event.data.get("delta", ""), end="")
    print()

Sync Usage

from teardrop import TeardropClient

with TeardropClient(
    "https://api.teardrop.dev",
    email="[e-mail]",
    secret="your-password",
) as client:
    for event in client.run_sync("What is 2 + 2?"):
        if event.type == "TEXT_MESSAGE_CONTENT":
            print(event.data.get("delta", ""), end="")
    print()

Auth Methods

Method	Constructor args
Email + password	email=..., secret=...
Client credentials (M2M)	client_id=..., client_secret=...
Pre-authenticated token	token=...
SIWE (pre-signed)	Pass siwe_message + siwe_signature via authenticate_siwe()

Features

• Async-first with sync wrapper
• Typed Pydantic models for all responses
• SSE streaming with parsed event objects
• Auto token refresh
• Zero langchain dependency
• MCP server management (register external MCP servers as agent tools)

MCP Server Management

Register external MCP servers so the Teardrop agent can discover and use their tools automatically at run time.

from teardrop import AsyncTeardropClient, CreateMcpServerRequest, parse_mcp_tool_name

async with AsyncTeardropClient("https://api.teardrop.dev", email="...", secret="...") as client:
    # Register a Stripe MCP server
    server = await client.create_mcp_server(CreateMcpServerRequest(
        name="stripe",
        url="https://your-stripe-mcp.example.com/sse",
        auth_type="bearer",
        auth_token="sk-...",
    ))

    # Preview available tools (live probe, no agent run needed)
    discovery = await client.discover_mcp_server_tools(server.id)
    print([t.name for t in discovery.tools])

    # Run the agent — MCP tools are injected automatically
    async for event in client.run("Issue a refund for charge_id ch_abc123"):
        if event.type == "TOOL_CALL_START":
            parsed = parse_mcp_tool_name(event.data["tool_name"])
            if parsed["is_mcp"]:
                print(f"MCP call → {parsed['server']}.{parsed['tool']}")
        if event.type == "TEXT_MESSAGE_CONTENT":
            print(event.data.get("delta", ""), end="")

MCP Tool Naming

MCP server tools appear in SSE events as {server_name}__{tool_name} (double underscore). Use parse_mcp_tool_name() to identify them:

from teardrop import parse_mcp_tool_name

parse_mcp_tool_name("stripe__create_refund")
# → {"is_mcp": True, "server": "stripe", "tool": "create_refund"}

parse_mcp_tool_name("web_search")
# → {"is_mcp": False}

Behavioural Notes

Constraint	Detail
Quota	5 active servers per org by default; 422 on breach
Cache lag	New/updated servers are live within ~5 min (TTL 300 s); /discover bypasses cache
Soft-delete	delete_mcp_server() sets is_active=False; agent stops using tools immediately
Auth write-only	auth_token is never returned; only has_auth: bool is exposed
Transport	Streamable HTTP only — stdio MCP servers are not supported
SSRF	All URLs are validated server-side; private IPs and localhost are blocked