A side-by-side look at the Claw Orchestrator and Agent MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Claw Orchestrator for coding agents work as a local process; choose Agent MCP for coding agents over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
C
Choose Claw Orchestrator when
You need dedicated capabilities in the Coding Agents domain.
No tool names declared yet. Check the project README from the listing page.
Agent MCP tools 12
create_agent
list_agents
terminate_agent
assign_task
view_tasks
update_task_status
ask_project_rag
update_project_context
view_project_context
send_agent_message
broadcast_message
request_assistance
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Claw Orchestrator is categorized under Coding Agents and uses a local stdio subprocess. Agent MCP belongs to Coding Agents and uses a remote HTTP/SSE transport. Pick Claw Orchestrator for coding agents work and Agent MCP for coding agents.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Claw Orchestrator has no declared pricing — check the project's own site. Agent MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add claw-orchestrator and rinadelph-agent-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Claw Orchestrator has a quality signal of 56/100 (Good) with 1 views, 0 installs and 596 GitHub stars. Agent MCP has 60/100 (Good) with 5 views, 0 installs and 1,304 GitHub stars.