MCP Server Monitoring & Tool Call Tracing
Auto-instrument every Model Context Protocol tool call (list_tools, call_tool, and read_resource) with zero code changes. Fluiq also caches repeated MCP tool results to avoid redundant server round-trips.
Free tier · No credit card · 2-minute setup
What you get with Fluiq for MCP
Tool call tracing
Every call_tool invocation is a traced span with the MCP server URL, tool name, input arguments, response, and end-to-end latency including server processing time.
MCP result caching
Fluiq caches repeated call_tool and list_tools responses keyed by server URL and arguments, identical requests are served instantly without a round-trip to the MCP server.
list_tools tracing
list_tools calls are traced and cached so agents that enumerate available tools on every turn stop paying the network cost after the first request.
Add Fluiq to your MCP app in 2 lines
import fluiq
fluiq.instrument(api_key="fl_...") # patches MCP client automatically
fluiq.optimize() # also caches repeated tool results
from mcp import ClientSession
from mcp.client.stdio import stdio_client
import asyncio
async def run():
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
# list_tools is traced + cached after first call:
tools = await session.list_tools()
# call_tool is traced + cached by (tool_name, args):
result = await session.call_tool(
"search", {"query": "LLM observability"}
)
asyncio.run(run())What Fluiq instruments in MCP
Every call to these methods is automatically traced, no decorators, no wrappers, no manual spans.
ClientSession.list_tools()ClientSession.call_tool()ClientSession.list_resources()ClientSession.read_resource()ClientSession.list_prompts()ClientSession.get_prompt()Start tracing MCP in 2 minutes
Free tier. No credit card. Full traces, security scanning, and evals on your first MCP call.
Unlimited free traces · 1,000 evals / month · 14-day retention