@chorus-aidlc/chorus-openclaw-plugin
MCP ServerFreeOpenClaw plugin for Chorus AI-DLC collaboration platform — SSE real-time events + MCP tool integration
Capabilities6 decomposed
mcp tool registration and schema-based function calling
Medium confidenceRegisters OpenClaw capabilities as MCP tools with JSON schema definitions, enabling Claude and other MCP-compatible clients to discover and invoke OpenClaw functions through standardized tool-calling protocols. Uses MCP's native tool registry pattern to expose OpenClaw operations as callable functions with input validation and response marshaling.
Bridges OpenClaw (Chorus AI-DLC collaboration platform) with MCP protocol, enabling Claude and other MCP clients to invoke OpenClaw operations as first-class tools rather than through generic API wrappers. Implements MCP's tool registry pattern specifically for the Chorus ecosystem.
Tighter integration with Chorus platform than generic REST-to-MCP adapters, with native understanding of OpenClaw semantics and response formats
server-sent events (sse) real-time event streaming
Medium confidenceEstablishes persistent SSE connections to OpenClaw backend, streaming real-time events (operation status updates, collaboration changes, data mutations) to MCP clients. Implements event subscription and filtering at the transport layer, allowing clients to react to platform events without polling. Handles connection lifecycle (reconnection, backoff, graceful degradation) following HTTP streaming best practices.
Implements SSE-based event streaming specifically for OpenClaw/Chorus platform events, with built-in reconnection logic and event filtering at the transport layer. Chosen over WebSocket for simpler HTTP-only deployment and better compatibility with existing Chorus infrastructure.
Simpler than WebSocket-based alternatives for unidirectional event delivery, with better HTTP proxy compatibility and lower infrastructure overhead than maintaining persistent bidirectional connections
chorus ai-dlc collaboration context injection
Medium confidenceInjects collaboration context (active users, document state, operation history, permissions) from Chorus platform into MCP tool calls and agent reasoning. Automatically enriches function parameters with collaboration metadata, enabling agents to make context-aware decisions that respect team state and permissions. Implements context propagation through request headers and payload enrichment.
Automatically injects Chorus platform collaboration context (active users, permissions, document state) into agent decision-making, enabling agents to be collaboration-aware without explicit context passing. Implements context enrichment at the MCP layer rather than requiring agents to manually query collaboration APIs.
Reduces agent complexity by automating collaboration context propagation, vs requiring agents to manually fetch and reason about team state from separate APIs
openclaw operation execution with result streaming
Medium confidenceExecutes OpenClaw operations (data transformations, AI-DLC workflows, collaborative tasks) through MCP tool calls, with support for long-running operations and incremental result streaming. Implements operation queuing, status polling, and result buffering to handle operations that exceed typical RPC timeout windows. Returns operation IDs for tracking and allows clients to subscribe to operation completion events via SSE.
Implements async operation execution with result streaming for OpenClaw, using operation IDs and SSE subscriptions to handle long-running tasks without blocking MCP clients. Bridges the gap between synchronous MCP tool calling and asynchronous OpenClaw backend operations.
Enables agents to trigger long-running operations without timeout concerns, vs synchronous tool calling which would block on slow operations
plugin lifecycle management and configuration
Medium confidenceManages plugin initialization, configuration loading, and graceful shutdown within the Chorus MCP server context. Implements configuration schema validation, environment variable binding, and dependency injection for OpenClaw credentials and connection parameters. Handles plugin registration with the MCP server and cleanup of resources (connections, event listeners) on shutdown.
Implements plugin lifecycle management with configuration schema validation and environment variable binding, enabling declarative plugin setup without code changes. Integrates with Chorus MCP server's plugin registration system.
Reduces boilerplate for plugin initialization vs manual server setup, with built-in configuration validation and dependency injection
error handling and operation failure recovery
Medium confidenceImplements comprehensive error handling for OpenClaw API failures, network issues, and operation timeouts, with automatic retry logic and fallback strategies. Distinguishes between transient errors (network timeouts, rate limits) and permanent failures (invalid credentials, malformed requests), applying exponential backoff for retryable errors. Returns detailed error information to agents for decision-making and includes error context from OpenClaw backend.
Implements error classification and adaptive retry logic specific to OpenClaw API failure modes, with exponential backoff and detailed error context propagation to agents. Distinguishes transient from permanent failures to avoid wasting retries on unrecoverable errors.
More sophisticated than naive retry-all approaches, with error classification enabling smarter failure handling vs generic timeout-based retries
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI-DLC teams building Claude-integrated workflows
- ✓developers extending Chorus platform with agent capabilities
- ✓teams migrating from REST API calls to MCP tool-based orchestration
- ✓teams building real-time collaborative AI agents
- ✓developers needing live status updates from long-running OpenClaw operations
- ✓applications requiring event-driven architecture on top of Chorus platform
- ✓multi-user AI-DLC teams where agents must respect collaboration state
- ✓organizations needing permission-aware agent actions
Known Limitations
- ⚠Tool schema must be manually defined or generated from OpenClaw API spec — no automatic introspection
- ⚠MCP tool calling latency depends on client implementation; no built-in caching of tool definitions
- ⚠Limited to tools exposed by OpenClaw plugin; custom tools require plugin extension
- ⚠SSE is unidirectional (server-to-client only) — requires separate channel for client-to-server commands
- ⚠No built-in event persistence or replay — missed events during disconnection are lost
- ⚠Browser/proxy compatibility issues with SSE in some enterprise environments (requires proper CORS and proxy configuration)
Requirements
Input / Output
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OpenClaw plugin for Chorus AI-DLC collaboration platform — SSE real-time events + MCP tool integration
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