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Marchward MCP Server

@marchward

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

marchward

Submitted by

Team Marchward

About Marchward MCP Server

Marchward is an Apache-2.0 open-source runtime authority for AI agents. It routes an agent's tool calls through one control point: credential mediation (the agent holds a single Marchward key and never your real downstream credentials), an inference spend cap enforced before the

#ai-agents#agent-governance#runtime-authority#credential-mediation#mcp#security#audit-log#cost-control#approval-gates#langgraph

Marchward MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "marchward": {
      "command": "npx",
      "args": [
        "-y",
        "@marchward/mcp-server"
      ],
      "env": {
        "MARCHWARD_API_URL": "https://api.marchward.ai",
        "MARCHWARD_API_KEY": "mw_your_key_here"
      }
    }
  }
}

Marchward MCP Server tools

Tool list not available yet

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Marchward?

Marchward is an Apache-2.0 open-source runtime authority for AI agents. It routes an agent's tool calls through a single control point, providing credential mediation, inference spend capping, human-in-the-loop approval gates, and a tamper-evident hash-chained audit log. It is available as npm packages (@marchward/*), a PyPI package (marchward), and an official MCP registry server (ai.marchward/mcp-server), with a runnable governed-LangGraph example.

How to use Marchward?

Install the Marchward package from npm, PyPI, or use the official MCP registry server. A runnable governed-LangGraph example is provided in the repository to get started.

Key features of Marchward

  • Credential mediation: agent uses a single Marchward key, never real downstream credentials
  • Inference spend cap enforced before calls reach the provider
  • Human-in-the-loop approval gates for irreversible actions
  • Tamper-evident hash-chained audit log for all tool calls
  • Open-source under Apache-2.0 license

Use cases of Marchward

  • Control tool calls made by autonomous AI agents
  • Prevent leakage of sensitive downstream API credentials
  • Enforce budget limits on agent inference costs
  • Require human approval before destructive or irreversible actions
  • Maintain a verifiable audit trail of all agent tool invocations

Frequently asked questions

1

How does Marchward mediate credentials?

The agent holds a single Marchward key and never the user’s real downstream credentials. Marchward routes and mediates all tool calls, keeping downstream secrets hidden from the agent.

2

Does Marchward support human approval?

Yes, Marchward implements human-in-the-loop approval gates that must be passed before irreversible actions are executed.

3

How does Marchward control spending?

Marchward enforces an inference spend cap before the tool call reaches the provider, preventing budget overruns.

4

What license is Marchward released under?

Marchward is released under the Apache-2.0 open-source license.

5

Where can I get Marchward?

Marchward is available on npm (@marchward/*), PyPI (marchward), and the official MCP registry (ai.marchward/mcp-server). A governed-LangGraph example is included in the public repository.

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