Tollary Agent Transaction Guard MCP Setup & Guide
kr.p-e.tollary/agent-transaction-guard · v0.1.0
Local fit-check and safe integration guidance for non-custodial Base USDC agent transactions.
Copy the install config on this page first, then verify docs and permissions upstream.
Overview
Local fit-check and safe integration guidance for non-custodial Base USDC agent transactions. Tollary Agent Transaction Guard is a MCP Server listed from MCP Registry. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.
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Automated pipeline validated install commands, protocol & client compatibility
Copy by platform
Choose your platform
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Setup tutorial
- Open the Tollary Agent Transaction Guard page and confirm this MCP Server (source: MCP Registry).
- Copy the Cursor, Claude Code, or VS Code snippet.
- Merge it into mcpServers and replace env placeholders with real secrets.
- Reload the window, then call the MCP tools from your agent chat.
Install commands
Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.
Claude Code (local)
- Install Claude Code CLI
- Copy the command below, replace <placeholders> with real env values, then run in terminal
- See Environment variables below if listed
claude mcp add agent-transaction-guard -- npx -y tollaryCursor — .cursor/mcp.json (local)
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}VS Code — .vscode/mcp.json (local)
- Install GitHub Copilot in VS Code with MCP support
- Open or create .vscode/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets
- Save and Developer: Reload Window
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Claude Desktop — claude_desktop_config.json (local)
- Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
- Click Copy config and merge under mcpServers
- Replace <placeholders> in env with real secrets
- Fully quit and restart Claude Desktop
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Trae — .trae/mcp.json (local)
- Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
- Click Copy config and merge mcpServers
- Replace <placeholders> in env with real secrets
- Save and reload Trae
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Cherry Studio — MCP settings (local)
- Cherry Studio → Settings → MCP Servers → Add (STDIO)
- Or import JSON: click Copy config and merge mcpServers
- Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
- Enable the server and check tools load
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Tongyi Lingma — MCP config (local)
- Lingma Settings → MCP → + → STDIO or config file
- Click Copy config and merge mcpServers
- Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
- Confirm connected before using tools in agent chat
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Windsurf — mcp_config.json (local)
- Edit ~/.codeium/windsurf/mcp_config.json
- Click Copy config and merge mcpServers (stdio same as Cursor)
- Replace <placeholders> in env, save, refresh Cascade
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Cline — MCP Servers (local)
- Cline panel → Settings → MCP Servers
- Click Copy config and merge
- Replace <placeholders> in env, then save
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}WorkBuddy — .workbuddy/mcp.json (local)
- Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
- Or Plugins → MCP Servers → Configure MCP and paste the JSON below
- Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
- Save, restart WorkBuddy, confirm connector status is green
{
"mcpServers": {
"agent-transaction-guard": {
"command": "npx",
"args": [
"-y",
"tollary"
]
}
}
}Troubleshooting & Common ErrorsFAQ
Common connection errors and verified fixes for Tollary Agent Transaction Guard
Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Tollary Agent Transaction Guard?
Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.
# Check binary path in terminal: which npx node -v
Getting 'spawn npx ENOENT' or 'command not found'?
The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).
Tool calls timing out or failing to download packages?
First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.
Tool Mock Playground
SandboxTollary Agent Transaction Guard Tool Interface Simulation · Preview tool schema & outputs without local runtime
{
"target": "Tollary Agent Transaction Guard",
"action": "execute",
"options": {
"mode": "standard",
"timeoutMs": 5000
}
}Click 'Run Mock' above
to preview the raw response returned to the LLM
Decision Guide: Why & When to Use
Assess suitability before installing to save trial-and-error time
- When your AI Agent needs tool calling capabilities in this domain
- Automating repetitive workflows in your IDE or terminal
- Pairing with modern clients supporting MCP/Skill standards
- When missing required API secrets or local runtime prerequisites
- Pure conversational requests that don't need external system access
Tollary Agent Transaction Guard + Scenario Prompt → Complete Agent Automation
MCP hands-on: install to visible results
Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.
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Unified Manifest
{
"id": "kr.p-e.tollary/agent-transaction-guard",
"type": "mcp-server",
"version": "0.1.0",
"displayName": "Tollary Agent Transaction Guard",
"description": "Local fit-check and safe integration guidance for non-custodial Base USDC agent transactions.",
"repository": {
"url": "https://github.com/hyKwon13/tollary",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "npm",
"identifier": "tollary",
"version": "0.1.0",
"transport": "stdio"
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "kr.p-e.tollary/agent-transaction-guard",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/kr.p-e.tollary%2Fagent-transaction-guard/versions/latest",
"isOfficial": true,
"status": "active"
}
}