Expose Anthropic's developer APIs—including messages, prompt caching controls, and token analysis tools—directly to Cursor, Claude Desktop, or LangChain agents via the open MCP standard. wmcp.sh is an independent integration; not affiliated with Anthropic.
Last updated 2026-05-28 · works with Claude, OpenAI, LangChain, and any MCP client
| Capability | Raw Anthropic SDK | Composio Anthropic | wmcp.sh |
|---|---|---|---|
| Setup time | Install SDK + key configurations | Platform auth configurations | Sign in & provide key — done |
| Interoperability | Locked into Anthropic client | Custom wrapper | Standard MCP — works with Claude/Cursor |
| Spec updates | Wait for SDK release | Wait for platform update | Instant spec resolution at the edge |
| Latency | 80-200ms SDK bootstrap | Platform router delays | Sub-50ms Edge proxy resolution |
| Tool Coverage | Manual method mapping | Curated subset | Every public endpoint out-of-the-box |
All MCP-shaped — consumed directly by Claude tool_use, OpenAI function-calling, or LangChain.
| Tool | Type | Returns |
|---|---|---|
messages/create | Live action | Claude 3.5 Sonnet / Haiku response stream |
complete/create | Live action | Legacy text completion response |
from wmcp import WmcpClient
from wmcp.anthropic import to_anthropic_tools, execute_tool_use
from anthropic import Anthropic
client = WmcpClient(api_key="webmcp_live_…")
spec = "https://raw.githubusercontent.com/anthropics/anthropic-sdk-python/main/openapi.yaml"
tools = client.tools(spec)
anthropic = Anthropic()
msg = anthropic.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
tools=to_anthropic_tools(tools),
messages=[{"role": "user",
"content": "Analyze the text metadata using Anthropic's tools."}],
)
for block in msg.content:
if block.type == "tool_use":
result = execute_tool_use(client, spec, block.model_dump())
print(result)
Anthropic's Messages API is the canonical agentic-loop endpoint. If you're shipping your own API for agents to call, see the API-side checklist.
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