mcpField
C
clawmanagerfleet-mcp

clawmanagerfleet-mcp

Remote
github.com/clauxelAI & Agents0Updated 22w ago
Repository

About clawmanagerfleet-mcp

ClawManager Fleet Control is a hosted remote MCP service for AI agent workflows, providing tools to request, check, and close governed agent instances. It also provides runtime receipts and usage logs.

Key features

  1. 01Request agent instances
  2. 02Check instance status
  3. 03Close agent instances
  4. 04Export runtime receipts
  5. 05Bearer-token access
  6. 06Usage logs

Use cases

  1. 01Request an agent instance for a workflow
  2. 02Check an instance's runtime status
  3. 03Close an instance no longer needed
  4. 04Export runtime receipt records

MCP support

It provides a remote MCP endpoint over Streamable HTTP, with bearer-token authentication required for production calls. Clients can request instances, check status, close instances, and export runtime receipts.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://clawmanagerfleet.clauxel.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://clawmanagerfleet.clauxel.com/mcpAuth required

Tools

Details

From the project README

ClawManager Fleet Control

Lease governed AI agent instances without hand-built runner queues.

ClawManager Fleet Control is a paid hosted remote MCP for ClawManager. It exposes Streamable HTTP tool calls, bearer-token access, public server-card metadata, usage logs, and receipt-oriented JSON for AI agent workflows.

Public Endpoints

Access

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.

Tools

  • request_agent_instance
  • check_instance_status
  • close_agent_instance
  • export_runtime_receipt

Quick Start

  1. Open the website and choose a plan.
  2. Create or request an API token.
  3. Add the endpoint to an MCP client that supports Streamable HTTP remote servers.
  4. Send JSON-RPC requests with the bearer token.

Useful Links

Status

This repository is a public documentation and directory-submission reference for the hosted service. It does not contain the private production source code.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.