Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@CodeG Agent Workspace Register a new agent session for the backend refactor"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
See and hand off every coding agent session in one workspace.
CodeG Agent Workspace is a paid hosted remote MCP for CodeG. It exposes Streamable HTTP tool calls, bearer-token access, public server-card metadata, usage logs, and receipt-oriented JSON for AI agent workflows.
Website: https://codegworkspace.clauxel.com/?utm_source=github&utm_medium=directory&utm_campaign=sbl202605r27
MCP endpoint: https://codegworkspace.clauxel.com/mcp
Server card: https://codegworkspace.clauxel.com/server-card.json
Registry name: com.clauxel.codegworkspace/codegworkspace-mcp
Related MCP server: Agent Bridge MCP
This is a paid hosted remote MCP. Production calls require a bearer token issued from the product website.
Authorization: Bearer <token>Unauthenticated browser visits to /mcp return a clear JSON error instead of internal details.
register_agent_session
read_workspace_roster
write_handoff_note
export_session_summary
Open the website and choose a plan.
Create or request an API token.
Add the endpoint to an MCP client that supports Streamable HTTP remote servers.
Send JSON-RPC requests with the bearer token.
Product page: https://codegworkspace.clauxel.com/?utm_source=github&utm_medium=directory&utm_campaign=sbl202605r27
Server card: https://codegworkspace.clauxel.com/server-card.json
MCP endpoint: https://codegworkspace.clauxel.com/mcp
This repository is a public documentation and directory-submission reference for the hosted service. It does not contain the private production source code.
This server cannot be deployed
The team layer for AI coding agents: shared contracts, collision alerts, E2EE sessions.
Shared memory for coding agents. Stop re-explaining your codebase every session.
Search coding-agent sessions and load one as starting context; save your own to your library.
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
