arcade-mcp/libs/arcade-serve/arcade_serve/fastapi/telemetry.py
Eric Gustin 3424ec8219
MCP Local (#563)
Versions:
* arcade-mcp\==1.0.0rc1
* arcade-mcp-server\==1.0.0rc1
* arcade-core\==2.5.0rc1
* arcade-tdk\==2.6.0rc1
* arcade-serve\==2.2.0rc1

### Summary
Adds first-class MCP support across Arcade, introduces a new MCP server
and CLI, unifies the project under the arcade-mcp name, overhauls
templates/scaffolding, and improves developer tooling, secrets
management, and examples.

### Highlights
- **MCP Server & Core**
- New MCP server with stdio and HTTP/SSE transports, session management,
resumability, and lifecycle handling.
- FastAPI-like `MCPApp` for building servers with lazy init; integrated
worker+MCP HTTP app option.
- Middleware system (logging and error handling), robust exception
hierarchy, and Pydantic-based settings.
- Async-safe managers for tools, resources, and prompts backed by
registries and locks.
- Developer-facing, transport-agnostic runtime context interfaces (logs,
tools, prompts, resources, sampling, UI, notifications).
- Conversion from Arcade ToolDefinition to MCP tool schema; OpenAI JSON
tool schema converter.
  - Parser supports `@app.tool`/`@app.tool(...)` decorators.

- **CLI**
  - New `mcp` command to run MCP servers with stdio or HTTP/SSE.
- New `secret` command to set/list/unset tool secrets (supports .env
input, preserves original casing for lookups).
- `new` command refactored; option to create a full toolkit package with
scaffolding.
  - `chat` command removed.
- `serve.py` imports updated to `arcade_serve.fastapi.telemetry`;
version retrieval now uses `arcade-mcp`.
  - `show.py` refactor to use new local catalog utilities.
- `display_tool_details` improved: adds “Default” column and handles
nested properties.

- **Configuration & Discovery**
- New `configure.py` to set up Claude Desktop, Cursor, and VS Code to
connect to local or Arcade Cloud MCP servers.
- Discovery utilities to find/install toolkits, build `ToolCatalog`s,
analyze files for tools, load kits from directories (pyproject parsing),
and build minimal toolkits.
- Better handling of provider API key resolution and evaluation suite
loading.

- **Templates & Scaffolding**
- Reorganized template structure (minimal vs full); moved
`.pre-commit-config.yaml`, `.ruff.toml`, license, Makefile, README,
tests, and tools layout to correct paths.
  - Minimal template adds `.env.example` for runtime secret injection.
- Template pyproject updated for MCP servers; includes sample server
with greeting and secret-reveal tools.
  - Authorization flow in templates simplified.

- **Repo-wide Renaming & Examples**
- Migrates references from `arcade-ai` to `arcade-mcp` across READMEs,
scripts, and package metadata.
- Examples updated (LangChain/LangGraph/AI SDK/TypeScript) and package
name changed to `arcade-mcp-sdk`.

- **Evals & Core Utilities**
- Evals now use OpenAI tooling format (`OpenAIToolList`, `to_openai`);
`tool_eval` takes `provider_api_key`.
- Core utilities: fixed `does_function_return_value` by dedenting before
parse; version bump to `2.5.0rc1` and dependency cleanup.

- **Tooling & CI**
- `setup-uv-env` action splits toolkit vs contrib dependency
installation.
- Pre-commit: excludes `libs/arcade-mcp-server/mkdocs.yml` and
`libs/tests/` from YAML and Ruff hooks; Ruff per-file ignores (e.g.,
C901 in `libs/**/*.py`, TRY400 in server docs paths).
- Makefile updates for uv env setup, quality checks, tests, builds, and
new `shell` target.
  - Added Makefile to MCP server library to streamline dev workflow.

- **Cleanup**
  - Removed `claude.json` config.
- Simplified stdio entrypoint; removed unused imports (`arcade_gmail`,
`arcade_search`).

### Breaking Changes
- **CLI**: `chat` command removed; use `mcp`, `secret`, and updated
`new`.
- **Naming**: All users should update references from `arcade-ai` to
`arcade-mcp`.
- **Templates**: File paths moved; downstream scripts referencing old
template locations may need updates.

### Getting Started
- Run an MCP server:
  - `arcade mcp --stdio --toolkits your_toolkit`
  - `arcade mcp --http --toolkits your_toolkit`
- Manage secrets:
  - `arcade secret set your_toolkit KEY=value`
  - `arcade secret list your_toolkit`
  - `arcade secret unset your_toolkit KEY`
- Configure clients:
- `arcade configure` to set up Claude Desktop, Cursor, and VS Code for
local/Arcade Cloud MCP.

---------

Co-authored-by: Sam Partee <sam@arcade-ai.com>
Co-authored-by: Shub <125150494+shubcodes@users.noreply.github.com>
2025-09-25 15:28:15 -07:00

130 lines
5.4 KiB
Python

import logging
import os
import urllib.parse
from typing import Optional
from fastapi import FastAPI
from opentelemetry import _logs, trace
from opentelemetry.exporter.otlp.proto.http._log_exporter import OTLPLogExporter
from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
from opentelemetry.metrics import Meter, get_meter_provider, set_meter_provider
from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
from opentelemetry.sdk.resources import SERVICE_NAME, Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
class ShutdownError(Exception):
pass
class OTELHandler:
def __init__(self, enable: bool = True, log_level: int = logging.INFO):
self.enable = enable
self.log_level = log_level
self._tracer_provider: Optional[TracerProvider] = None
self._tracer_span_exporter: Optional[OTLPSpanExporter] = None
self._meter_provider: Optional[MeterProvider] = None
self._meter_reader: Optional[PeriodicExportingMetricReader] = None
self._otlp_metric_exporter: Optional[OTLPMetricExporter] = None
self._logger_provider: Optional[LoggerProvider] = None
self._log_processor: Optional[BatchLogRecordProcessor] = None
self.environment = os.environ.get("ARCADE_ENVIRONMENT", "local")
def instrument_app(self, app: FastAPI) -> None:
if self.enable:
logging.info(
"🔎 Initializing OpenTelemetry. Use environment variables to configure the connection"
)
self.resource = Resource(
attributes={SERVICE_NAME: "arcade-worker", "environment": self.environment}
)
self._init_tracer()
self._init_metrics()
self._init_logging(self.log_level)
FastAPIInstrumentor().instrument_app(app)
def _init_tracer(self) -> None:
self._tracer_provider = TracerProvider(resource=self.resource)
trace.set_tracer_provider(self._tracer_provider)
# Create an OTLP exporter
self._tracer_span_exporter = OTLPSpanExporter()
try:
self._tracer_span_exporter.export([trace.get_tracer(__name__).start_span("ping")])
except Exception as e:
raise ConnectionError(
f"Could not connect to OpenTelemetry Tracer endpoint. Check OpenTelemetry configuration or disable: {e}"
)
# Create a batch span processor and add the exporter
span_processor = BatchSpanProcessor(self._tracer_span_exporter)
self._tracer_provider.add_span_processor(span_processor)
def _init_metrics(self) -> None:
self._otlp_metric_exporter = OTLPMetricExporter()
self._meter_reader = PeriodicExportingMetricReader(self._otlp_metric_exporter)
self._meter_provider = MeterProvider(
metric_readers=[self._meter_reader], resource=self.resource
)
set_meter_provider(self._meter_provider)
def get_meter(self) -> Meter:
return get_meter_provider().get_meter(__name__)
def _init_logging(self, log_level: int) -> None:
otlp_log_exporter = OTLPLogExporter()
self._logger_provider = LoggerProvider(resource=self.resource)
_logs.set_logger_provider(self._logger_provider)
# Create a batch span processor and add the exporter
self._log_processor = BatchLogRecordProcessor(otlp_log_exporter)
self._logger_provider.add_log_record_processor(self._log_processor)
handler = LoggingHandler(level=log_level, logger_provider=self._logger_provider)
logging.getLogger().addHandler(handler)
# Create a filter for urllib3 connection logs related to OpenTelemetry
class OTELConnectionFilter(logging.Filter):
def filter(self, record: logging.LogRecord) -> bool:
# Filter out connection logs to OpenTelemetry endpoints
parsed_url = urllib.parse.urlparse(
os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "")
)
domain = parsed_url.netloc.split(":")[0]
return not (domain and domain in str(getattr(record, "args", ())))
# Apply the filter to the urllib3 logger
urllib3_logger = logging.getLogger("urllib3.connectionpool")
urllib3_logger.addFilter(OTELConnectionFilter())
def _shutdown_tracer(self) -> None:
if self._tracer_span_exporter is None:
raise ShutdownError("Tracer provider not initialized. Failed to shutdown")
self._tracer_span_exporter.shutdown()
def _shutdown_metrics(self) -> None:
if self._otlp_metric_exporter is None:
raise ShutdownError("Meter provider not initialized. Failed to shutdown")
self._otlp_metric_exporter.shutdown()
def _shutdown_logging(self) -> None:
if self._logger_provider is None:
raise ShutdownError("Log provider not initialized. Failed to shutdown")
self._logger_provider.shutdown()
def shutdown(self) -> None:
self._shutdown_tracer()
self._shutdown_metrics()
self._shutdown_logging()