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  1. Home
  2. ๐Ÿ“Š Monitoring
  3. Agent47
Agent47 logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 8:17:11 PM

Agent47

User RatingsBe the first to rate and review this MCP server!
View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website
monitoringagent-safetybudgetstracingmcp

Adds runtime budget, loop, retry, timeout, and rate guards with local traces and MCP access to AgentGuard incident data.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "bmdhodl-agent47": {
      "command": "npx",
      "args": [
        "-y",
        "@agentguard47/mcp-server"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ“Š More in Monitoring

Overview

AgentGuard is a zero-dependency Python SDK that stops runaway agent runs in process through budget and behavior guards. It records local JSONL traces and can patch OpenAI or Anthropic clients, with optional framework hooks for LangChain, LangGraph, and CrewAI. Its MCP server provides read access to AgentGuard traces, alerts, usage, costs, and budget health.

Use cases

โ€ขEnforce hard spend limits on agent sessions and individual tasks
โ€ขStop repeated tool calls, retry storms, hung runs, and rate-limit violations
โ€ขTrace OpenAI or Anthropic calls to local JSONL files
โ€ขInspect agent incidents, usage, costs, and budget health through MCP
โ€ขCap x402 wallet payments before an individual charge or cumulative limit

Key features

โ€ขBudget, loop, fuzzy-loop, retry, timeout, and rate-limit guards
โ€ขTask-level budgets with warning hooks
โ€ขOpenAI and Anthropic provider patches
โ€ขLocal JSONL traces with no network by default
โ€ขOptional LangChain, LangGraph, and CrewAI hooks
โ€ขx402 spend guard for cumulative, endpoint, and per-call limits

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Agent47.

Extracted Tool Capabilities
Budget, loop, fuzzy-loop, retry, timeout, and rate-limit guards
Task-level budgets with warning hooks
OpenAI and Anthropic provider patches
Local JSONL traces with no network by default
Optional LangChain, LangGraph, and CrewAI hooks
x402 spend guard for cumulative, endpoint, and per-call limits

Documentation Overview

AgentGuard

Stop runaway agents before they burn money.

Zero-dependency Python kill switch for AI agents. Hard budget caps. Loop detection. Local traces. MIT.

PyPI Downloads Python CI License: MIT

Terminal
pip install agentguard47

Getting started

1. Install and verify

Terminal
pip install agentguard47
agentguard doctor   # package ok?
agentguard demo     # offline proof (no API keys)

2. Guard an OpenAI client

server.ts
from agentguard import BudgetGuard, LoopGuard, Tracer, patch_openai

budget = BudgetGuard(max_cost_usd=5.00, warn_at_pct=0.8)
loop = LoopGuard(max_repeats=3)
tracer = Tracer(service="my-agent", guards=[loop])

patch_openai(tracer, budget_guard=budget)
# every OpenAI call is now traced + budget-enforced

When spend crosses the hard limit, BudgetExceeded is raised and the run stops.

3. Cap a single task

Session budget can still have headroom. One goal can still be killed:

python
with budget.goal("refund", max_cost_usd=0.50, warn_at_pct=0.8) as g:
    g.attempt()
    budget.consume(cost_usd=0.12)
    # BudgetExceeded names the goal when it crosses

4. Read the local proof

bash
agentguard report .agentguard/traces.jsonl
agentguard incident .agentguard/traces.jsonl

Or scaffold a starter file:

bash
agentguard quickstart --framework raw --write
python agentguard_raw_quickstart.py

What it stops

ProblemGuardException
Spend blowupBudgetGuardBudgetExceeded
Same tool foreverLoopGuardLoopDetected
Fuzzy / A-B-A-B loopsFuzzyLoopGuardLoopDetected
Retry stormsRetryGuardRetryLimitExceeded
Hung runsTimeoutGuardTimeoutExceeded
Spam callsRateLimitGuardโ€”
Wallet drain (x402/USDC)X402SpendGuardBudgetExceeded

Not a dashboard. Not a model router. An in-process exception that kills the bad run mid-flight.

Cap your agent's x402 wallet spend

Agents that pay per-call via x402 (USDC micropayments) can drain a wallet in a silent loop. X402SpendGuard wraps the payment step and refuses before paying:

server.ts
from agentguard import X402SpendGuard

guard = X402SpendGuard(
    max_total_usd=5.00,        # wallet cap, add period="day" for a daily reset
    max_per_endpoint_usd=1.00, # cap per resource URL
    max_per_call_usd=0.10,     # refuse any single payment above this
)
guard.charge(0.001, "https://api.example.com/search", my_x402_pay_step)

AgentGuard meters and refuses; it never signs or settles. Amounts come from your x402 client. No crypto dependencies.

Features

  • Hard stops โ€” exceptions inside your process, not after-the-fact alerts
  • Task-level budgets โ€” BudgetGuard.goal(...) for sub-task caps + warn hooks
  • Local traces โ€” JSONL by default; no network unless you opt in
  • Zero deps โ€” stdlib only; Python 3.9+
  • Provider patches โ€” patch_openai / patch_anthropic
  • Framework hooks โ€” LangChain, LangGraph, CrewAI (optional extras)

Local by default

  • No API key required for local proof
  • No network unless you configure HttpSink
  • MIT licensed

The SDK is the free local proof path. Start local. Add hosted ingest later only if you want retained history, alerts, team visibility, spend trends, hosted decision history, or dashboard-managed remote kill signals. Local guards remain authoritative. HttpSink mirrors trace and decision events; it does not execute remote kill signals by itself.

Integrations

OpenAI ยท Anthropic ยท LangChain ยท LangGraph ยท CrewAI ยท raw agent loops

Terminal
pip install "agentguard47[langchain]"   # optional extras as needed

Security

The base install declares zero runtime dependencies. pip install agentguard47 pulls nothing, so a default install adds no third-party exposure.

Extras pull real dependency trees. The [crewai] extra pulls chromadb, which carries PYSEC-2026-311: a pre-authentication remote code execution advisory with no fixed release available. Nothing in AgentGuard calls the affected endpoint, and installing the extra does not start a ChromaDB server. You are exposed only if you run a ChromaDB server reachable by untrusted callers. A 2026-08-28 pip-audit run also flags CVE-2026-45830, CVE-2026-45831, and CVE-2026-45833 against the same chromadb release, none with a fixed version. The [langchain], [langgraph], and [otel] extras resolve clean under pip-audit. See #702 for the full finding.

Docs

  • Getting started guide
  • Examples
  • MCP server โ€” npx -y @agentguard47/mcp-server

Links

  • PyPI: https://pypi.org/project/agentguard47/
  • Issues: https://github.com/bmdhodl/agent47/issues
  • AgentGuard on the web (hosted history, alerts, and MCP visibility for Claude Code, Cursor, and Codex): https://bmdpat.com/tools/agentguard?utm_source=agentguard47&utm_medium=readme&utm_campaign=touchpoints

The hosted page is an optional next step, not a requirement. The SDK stays free, local, and MIT, and the local guards stay authoritative. Nothing in this package phones home. The only network egress is a sink or exporter you configure yourself, such as HttpSink or an OpenTelemetry exporter.


MIT ยท Built for people who ship agents and hate surprise bills.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
4
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Agent47

No. The local SDK and offline proof commands do not require an API key.

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Technical Specs & Signals

Category๐Ÿ“ŠMonitoring
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsCursor
Last updatedAug 9, 2026
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4
GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 8, 2026
49Quality signal: Fair ยท 49/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 24d ago via OSV.dev ยท @agentguard47/mcp-server (npm)

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