# Setting Up OpenClaw Bridge Adapters for Messaging Platforms

> Easily set up OpenClaw bridge adapters to send real-time status updates from AutoResearchClaw to Discord, Slack, Telegram, or WeChat. Enable openclaw_bridge and configure MessageAdapter for seamless notifications.

- Repository: [AIMING Lab/AutoResearchClaw](https://github.com/aiming-lab/AutoResearchClaw)
- Tags: how-to-guide
- Published: 2026-05-28

---

**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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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:

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

```

### Stub and MCP Implementations

Default **recording adapters** in [`researchclaw/adapters.py`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/config.yaml) to include the `openclaw_bridge` block:

```yaml
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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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:

```python
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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/researchclaw/pipeline/stage_impls/_literature.py) (line 172) demonstrates the standard notification pattern:

```python

# 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:

```bash

# Starts MCP server on port 3000

bash scripts/metaclaw_start.sh

```

### Configuring Platform Webhooks

Map your messaging platform endpoints in the OpenClaw agent configuration:

```json
{
  "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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/researchclaw/adapters.py).
- Enable notifications by setting `use_message: true` in [`config.researchclaw.example.yaml`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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`](https://github.com/aiming-lab/AutoResearchClaw/blob/main/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.