6 min read
Press Release: BlueRock Open Sources MCP Python Hooks for Real-Time MCP Server
BlueRock
BlueRock today released MCP Python Hooks as open source — a lightweight Python sensor that captures MCP tool calls, dependencies, and subprocess activity at runtime. No code changes. Apache 2.0.
BlueRock Open Sources MCP Python Hooks for Real-Time MCP Server Visibility
Lightweight Python sensor for MCP servers adds real-time visibility in minutes, no code changes, and runs with your workload
SAN MATEO — May 6, 2026 — BlueRock today announced the open source release of BlueRock MCP Python Hooks, a lightweight runtime observability tool for Python. It captures MCP server activity by inspecting the protocol, providing consistent visibility across environments without external dependencies.
As adoption of MCP servers accelerates into the tens of thousands, developers and platform teams are increasingly responsible for systems that make decisions and execute actions in real time. However, visibility into how those systems behave has not kept pace.
Developers can see requests and logs, but often lack visibility into what actually happens inside their Python-based MCP servers. They cannot easily observe tool invocation details, session lifecycle events, module imports, or subprocess activity, especially when that behavior originates from dependencies. BlueRock MCP Python Hooks captures these signals directly at runtime, making it easier to debug issues, understand system behavior, and operate MCP servers with confidence without code changes or workflow disruption.
Real-Time MCP Visibility Without Changing How You Build
BlueRock MCP Python Hooks instruments Python applications at runtime and captures MCP and system-level behavior with detailed runtime context. It is designed to make runtime visibility simple, immediate, and consistent across environments.
Key capabilities include:
MCP lifecycle visibility — tool invocation, session activity, and client-server interactions
Runtime signals — subprocess activity, security-sensitive system operations
Import and dependency tracking — module loading across the full execution environment
Structured event output — JSON/NDJSON for integration with existing pipelines
Startup-level instrumentation — captures behavior from interpreter start, including dependencies
Workload-native observability — runs inside the application and stays consistent across environments
Developers can begin capturing events in minutes using a simple runtime command, with no changes to application code. For example, developers can immediately see MCP tool calls, arguments, and module activity as structured events as their application runs.
Together, these capabilities give developers a clear view into how MCP systems behave at runtime, not just what requests were made.
“Teams have moved very quickly to adopt MCP and agent-driven architectures, but visibility into the tool executions and what those systems actually do at runtime hasn’t caught up,” said Jeremiah Lowin, CEO of Prefect and creator of FastMCP. “Understanding what’s happening at MCP runtime is a natural next step for developers as these systems become more critical.”
Built for the MCP and Agentic Developer Community
BlueRock MCP Python Hooks is built for the growing community of developers and teams building MCP servers and agent-driven systems, from individual builders to organizations operating MCP infrastructure at scale.
Developers can wrap existing MCP servers and begin capturing event activity in minutes without refactoring or adding instrumentation code. This makes it easy to introduce visibility late in development or directly in production environments.
For service providers and platform teams running their own MCP servers, BlueRock MCP Python Hooks provides a flexible way to expose the MCP protocol events for internal monitoring of the tool execution path. Because it emits structured events and does not depend on proprietary infrastructure, teams can route data into their own systems and integrate with existing observability stacks.
“We’re seeing a clear pattern—teams can build MCP systems quickly, but they reach a point where they don’t fully understand what those systems are doing in production,” said Harold Byun, CEO of BlueRock. “Visibility into tool execution for better governing of the agentic execution layer is becoming a requirement, not a nice-to-have, and this release gives MCP builders that clarity from the start.”
As an open source project released under the Apache 2.0 license, BlueRock MCP Python Hooks enables developers to inspect how runtime hooks are implemented, extend instrumentation for their own use cases, and integrate output into existing tools and workflows. Events are emitted in structured formats that can be easily routed into standard observability stacks, including OpenTelemetry pipelines, Grafana, and other monitoring systems.
The goal is to make MCP systems easier to understand, debug, and operate as they scale.
Availability
BlueRock MCP Python Hooks is available today: https://github.com/bluerock-io/bluerock
Learn more about BlueRock:
https://www.bluerock.io/developer-hub/mcp-python-hooks
FAQ
Is BlueRock MCP Python Hooks really free and open source?
Yes. BlueRock MCP Python Hooks is released under the Apache 2.0 license at github.com/bluerock-io/bluerock. Developers can inspect how the runtime hooks are implemented, extend them for their own use cases, and integrate output into existing tools and workflows without commercial licensing.
What problem does BlueRock MCP Python Hooks solve?
Developers can see requests and logs into their MCP servers, but often lack visibility into what actually happens inside the server at runtime — tool invocation details, session lifecycle events, module imports, and subprocess activity, especially when that behavior originates from dependencies. MCP Python Hooks captures these signals directly at runtime, without code changes.
How is BlueRock MCP Python Hooks different from logs and traces?
Logs and traces capture requests and outcomes; they don't capture what runs between them. MCP Python Hooks instruments the Python interpreter at startup, before application code runs, so it observes tool calls, dependency loads, and subprocess execution as they happen — not just the request boundaries.
Where can I get BlueRock MCP Python Hooks?
The repository and quickstart are available at github.com/bluerock-io/bluerock. Full documentation, install instructions, and integration examples are at bluerock.io/developer-hub/mcp-python-hooks.
Does BlueRock MCP Python Hooks work with OpenTelemetry, Grafana, or my existing observability stack?
Yes. Events are emitted as structured NDJSON and written locally, where they can be inspected directly or routed into existing observability stacks including OpenTelemetry pipelines, Grafana, and other monitoring systems. There is no proprietary infrastructure dependency.
