Setting Up OpenClaw Bridge Adapters for Messaging Platforms

AutoResearchClaw routes real-time status updates to Discord, Slack, Telegram, or WeChat by enabling the openclaw_bridge configuration and letting the MessageAdapter protocol forward notifications through an MCP server.

The AutoResearchClaw repository provides a flexible bridge system that connects autonomous research pipelines to external messaging platforms. By configuring OpenClaw bridge adapters, you can push progress notifications from literature collection, analysis, and reporting stages directly into your team's communication channels. This integration relies on typed protocol definitions and configurable MCP-backed adapters that ensure deterministic behavior whether running locally or connected to live services.

Understanding the OpenClaw Bridge Architecture

The bridge system consists of several layered components that isolate the pipeline logic from external service dependencies.

Configuration Layer

The openclaw_bridge section in config.researchclaw.example.yaml (lines 29-35) controls which adapters are active. Setting use_message: true enables the messaging protocol, while flags like use_memory, use_cron, and use_web_fetch activate additional bridge capabilities as documented in Section 9 of the integration guide.

Typed Protocol Definitions

In researchclaw/adapters.py (lines 22-44), the repository defines adapter behavior as Python Protocol classes. The MessageAdapter protocol specifies the exact method signature that all messaging implementations must satisfy:

class MessageAdapter(Protocol):
    def notify(self, channel: str, subject: str, body: str) -> None: ...

Stub and MCP Implementations

Default recording adapters in researchclaw/adapters.py (lines 46-88) capture calls in-memory without network traffic, ensuring pipelines run successfully without external configuration. When an MCP (Message Control Protocol) server is configured, AdapterBundle.from_config instantiates MCPMessageAdapter and MCPWebFetchAdapter to forward calls over HTTP.

Pipeline Integration

The Executor class in researchclaw/pipeline/executor.py (line 629) retrieves the bridge configuration and injects the AdapterBundle into each pipeline stage. Stages invoke adapters directly—for example, bridge.message.notify(...)—without managing connection state.

Configuring OpenClaw Bridge Adapters for Messaging

Enable real-time notifications by modifying your research configuration file.

Minimal Configuration for Discord Notifications

Create or edit your config.yaml to include the openclaw_bridge block:

openclaw_bridge:
  use_message: true          # Activate MessageAdapter

  use_memory: true           # Optional: persist shared knowledge

  use_cron: false
  use_sessions_spawn: false
  use_web_fetch: false
  use_browser: false

The full list of available flags appears in config.researchclaw.example.yaml. When use_message is false, the system falls back to RecordingMessageAdapter, which logs invocations silently without generating external traffic.

Building Adapter Bundles from Configuration

Instantiate the adapter layer programmatically using the configuration loader:

from researchclaw.config import RCConfig
from researchclaw.adapters import AdapterBundle

# Load configuration (accepts absolute or relative paths)

cfg = RCConfig.load("config.yaml")

# Generate bundle respecting bridge flags

adapters = AdapterBundle.from_config(cfg)

# Send test notification (routed to OpenClaw when MCP is active)

adapters.message.notify(
    channel="telegram",
    subject="AutoResearchClaw started",
    body="Processing stage 1 – Topic Init."
)

Implementing Real-Time Notifications in Pipeline Stages

Pipeline stages interact with messaging adapters through conditional checks that guarantee compatibility with standalone CLI execution.

Literature Stage Integration

The literature collection stage in researchclaw/pipeline/stage_impls/_literature.py (line 172) demonstrates the standard notification pattern:

# researchclaw/pipeline/stage_impls/_literature.py

if config.openclaw_bridge.use_message:
    adapters.message.notify(
        channel="slack",
        subject="Literature search",
        body=f"Collected {len(results)} papers from arXiv & Semantic Scholar."
    )

This guard ensures the stage functions whether OpenClaw is driving the pipeline or the code runs independently. The adapters object provided to the stage contains the active implementation—either the recording stub for local testing or the MCP-backed variant for production.

Adapter Determinism

All adapters are typed and deterministic. If the bridge is disabled, stub adapters capture method calls in memory without raising exceptions, guaranteeing that missing messaging endpoints never break the research pipeline.

Deploying MCP Servers for Chat Platform Integration

Production deployments require an MCP server to translate protocol calls into platform-specific API requests.

Starting the MCP Server

Launch the bridge server using the provided helper script:

# Starts MCP server on port 3000

bash scripts/metaclaw_start.sh

Configuring Platform Webhooks

Map your messaging platform endpoints in the OpenClaw agent configuration:

{
  "mcp": {
    "server_enabled": true,
    "server_port": 3000,
    "discord_webhook_url": "https://discord.com/api/webhooks/..."
  }
}

When MCPMessageAdapter.notify is called, it forwards the payload to this webhook URL. The same pattern supports Slack, Telegram, and WeChat endpoints by changing the configuration URL and channel parameters.

Summary

• OpenClaw bridge adapters enable real-time messaging through typed protocols defined in researchclaw/adapters.py.
• Enable notifications by setting use_message: true in config.researchclaw.example.yaml.
• The AdapterBundle.from_config factory automatically switches between safe RecordingMessageAdapter stubs and MCPMessageAdapter based on your configuration.
• Pipeline stages call adapters.message.notify(channel, subject, body) to send updates, guarded by config.openclaw_bridge.use_message checks.
• Deploy scripts/metaclaw_start.sh to launch an MCP server that routes messages to Discord, Slack, or Telegram webhooks.

Frequently Asked Questions

How do I test messaging integrations without sending live notifications?

Set use_message: false in your configuration file. The pipeline will use RecordingMessageAdapter, which captures all notify calls in memory without network traffic. Verify logged messages by inspecting the adapter's internal recording buffer during unit tests or local runs.

Which messaging platforms are supported by OpenClaw bridge adapters?

The adapters support any platform reachable via HTTP webhooks or APIs. The protocol itself is platform-agnostic; concrete implementations in the MCP server handle Discord, Slack, Telegram, and WeChat specifics. Configure the target by passing the appropriate channel name (e.g., "discord", "slack") and ensuring the MCP server has valid credentials for that service.

What is the performance impact of enabling messaging adapters?

When using RecordingMessageAdapter (bridge disabled), overhead is negligible—only in-memory list appends. With MCPMessageAdapter enabled, each notification incurs an HTTP POST to the MCP server. For high-frequency stages, consider batching notifications or disabling non-critical message types to minimize round-trip latency.

Where does the Executor load the bridge configuration?

The Executor reads bridge settings at line 629 of researchclaw/pipeline/executor.py, constructing an AdapterBundle that is passed to every stage. This occurs once during pipeline initialization, ensuring consistent adapter state across all research phases.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}