# openmesha [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://github.com/ANAMIZED/OpenMesha  
**GitHub Stars:** 1  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/openmesha

## Description
Open agentic operations mesh MCP: agents, workflows, cost, governance, and x402.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What openmesha MCP server does

The openmesha MCP server gives MCP clients an interface to OpenMesha, an agent-oriented operating system and control plane. The repository describes OpenMesha as providing agents as processes, budgets, multi-agent workflows, MCP support, a Python SDK, and a command-line interface.

Its scope covers operational concerns that sit around agent execution: workflow coordination, cost as a managed resource, governance, and x402 commerce capabilities. The project also documents AgentFence, human-on-the-loop controls, bitemporal memory, post-quantum cryptography, and other system components, but the supplied material does not enumerate individual MCP tool names or their parameter schemas.

Use this server when an AI client needs to work with an existing OpenMesha environment rather than calling a standalone business API. It is relevant to agent operations, workflow execution, and control-plane administration.

## How it works

OpenMesha presents several access surfaces for the same broader system. The MCP entry point is named `openmesha-mcp`; other surfaces include a FastAPI REST API, the `openmesha` CLI, a Python SDK client, and a browser-based web control plane. Multi-agent workflows can be accessed through MCP, the REST endpoint, or the CLI.

The project emphasizes least privilege, treating cost as a first-class resource, failing closed through AgentFence and human-on-the-loop controls, and supporting offline simulation. These principles describe the system’s operating model; the README excerpt does not specify how each principle maps to a particular MCP method.

The openmesha MCP server is part of a larger deployable application rather than an isolated connector to a named third-party service. The repository also identifies a production path called WIRE for cloud or self-hosted deployments, including architecture, control APIs, settlement, and operational checklists.

## Setup and configuration

The documented quick start is:

```bash
docker compose up --build
bash scripts/verify.sh
```

After startup, the API is available at `http://localhost:8080`, with generated API documentation at `http://localhost:8080/docs`. The README also identifies Python 3.11 or newer as the supported Python version and lists `openmesha-mcp` as the MCP server entry point.

The supplied material does not provide an MCP client configuration example, command-line installation instructions, or environment variable names. It also does not state whether the MCP entry point uses stdio or HTTP, so transport-specific client configuration should be confirmed in the repository before deployment.

## Tools and capabilities

Documented capabilities include:

- Agent operations through the OpenMesha control plane
- Multi-agent workflow access through MCP, REST, and CLI surfaces
- Budget and cost management for agent activity
- Governance-oriented controls, including AgentFence and human-on-the-loop handling
- x402-related commerce and payment functionality
- REST, CLI, SDK, and web interfaces surrounding the MCP surface

The README excerpt does not list exact tool identifiers, return formats, authentication settings, or permissions for the MCP interface. Consult the source and the server’s runtime help for those implementation details.

_Full upstream README: https://allmcps.com/mcp/openmesha/readme_