DingDawg Agent Spend Policy MCP

DingDawg Agent Spend Policy MCP

Deterministically evaluates whether a proposed agent spend action matches a supplied policy, returning ELIGIBLE, DENY, or STEP_UP with stable reason codes. Provides local policy evidence only, not payment authorization.

Category
Visit Server

README

DingDawg Agent Spend Policy MCP

A small, local MCP server that deterministically evaluates whether a proposed agent spend action matches a supplied policy.

It returns one of ELIGIBLE, DENY, or STEP_UP, with a stable reason code. ELIGIBLE is local policy evidence only. It is not payment authorization.

Safety boundary

This package does not hold funds, private keys, payment credentials, customer data, or settlement authority. It does not sign, send, settle, custody, or record payments. It makes no network requests.

A production payment adapter needs separate, independently verified controls for authenticated policy/action provenance, canonical payload hashing, durable atomic budget reservation and replay protection, customer-controlled signing, rail validation, and settlement reconciliation.

Install

npx -y @dingdawg/agent-spend-policy-mcp

Configure it as a local stdio MCP server:

{
  "mcpServers": {
    "dingdawg-agent-spend-policy": {
      "command": "npx",
      "args": ["-y", "@dingdawg/agent-spend-policy-mcp"]
    }
  }
}

Tool

evaluate_spend_policy accepts an evaluation time, a policy, a proposed action, and the already-spent amount. All money is passed as integer micro-unit strings, never JavaScript floating-point numbers.

The caller supplies the clock and already-spent value; therefore this tool is safe for dry runs and local evidence, not a replacement for a trusted payment or accounting system.

Agent contract

The versioned machine-readable contract is capabilities.json. It describes the only tool this package exposes, its required inputs, its three possible outcomes, and its non-negotiable safety boundary.

  • Transport: local stdio MCP
  • Tool: evaluate_spend_policy
  • Required inputs: evaluationTime, policy, action, and alreadySpentMicros
  • Outputs: ELIGIBLE, DENY, or STEP_UP, each with a stable reason code
  • Side effects: none
  • Credentials, payment execution, custody, signing, settlement, and network access: not supported

The manifest is package-source evidence for this release, not a promise of a hosted agent-discovery endpoint. ELIGIBLE remains local policy evidence only, not payment authorization.

Development

npm install
npm test
npm run pack:check

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured