Skip to main content
Glama
Sign In
mcp-agent-enterprise-guard

mcp-agent-enterprise-guard

by princeruhulofficial
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

mcp-agent-enterprise-guard

Compute trust scores, permission decisions, and silent-failure risk for AI agents — pure local computation, zero API cost.

Built for founders and teams who need lightweight AI governance (especially those validating products with Prevalid).

Available on MCPize

Why this exists

AI agents often fail silently: they return empty results, pick the wrong tool, or violate simple policies without raising an error. Enterprise-style workflows (Salesforce, ServiceNow, internal data) make this painful and expensive.

This MCP server gives your agent (or your ops team) four practical tools that run entirely on the data you already have — no external APIs, no monthly data bills.

Related MCP server: Agent Identity MCP Server

Tools

Tool

What it does

score_agent_reliability_tool

0–100 reliability score + breakdown + recommendations

detect_silent_failures_tool

Finds empty/null responses that did not set is_error

evaluate_permission_tool

Simple allow/deny rule engine for agent actions

generate_audit_report_tool

Human-readable markdown governance report

Quick start (local)

git clone https://github.com/princeruhulofficial/mcp-agent-enterprise-guard.git
cd mcp-agent-enterprise-guard
pip install -e .
python -m agent_enterprise_guard.server

Or with FastMCP / Claude Desktop config:

{
  "mcpServers": {
    "agent-enterprise-guard": {
      "command": "python",
      "args": ["-m", "agent_enterprise_guard.server"]
    }
  }
}

Example usage

Feed your agent run logs (list of dicts with tool_name, success, latency_ms, is_error, content) and get a reliability score + silent-failure list in seconds.

Monetization (MCPize)

Freemium model planned:

  • Free: limited daily calls for testing

  • Pro / Team / Enterprise tiers with higher limits and report export

License

MIT

Made for the Prevalid community — build AI systems people can actually trust.

Available Tools

4 tools
detect_silent_failures_toolB

Flag tool calls that returned empty or null content without an error flag.

Inputs: logs (required). Returns: object

evaluate_permission_toolC

Evaluate whether an agent action is allowed under the given policy rules.

Returns decision (allow/deny), matched rules, and risk score.

Inputs: action (required), policy_rules (required). Returns: object

generate_audit_report_toolA

Generate a markdown governance/audit report from logs (and optional pre-computed scores).

Inputs: logs (required), scores. Returns: object

score_agent_reliability_toolA

Compute overall reliability score (0-100) from tool-call logs.

Each log entry should contain: tool_name, success (bool), latency_ms (number), is_error (bool), content (string or null).

Inputs: logs (required), weights. Returns: object

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a distinct purpose: detecting silent failures, scoring reliability, evaluating permissions, and generating audit reports. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun_tool pattern (detect_silent_failures_tool, score_agent_reliability_tool, etc.), making the API predictable and easy to navigate.

    Tool Count5/5

    With 4 tools, the server is well-scoped for its enterprise guard purpose. Each tool serves a distinct function without unnecessary bloat or a thin set.

    Completeness5/5

    The tools cover the full lifecycle of governance and monitoring: detection, scoring, permission evaluation, and reporting. No obvious gaps exist for the server's stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

    Related MCP Connectors

    Related MCP Servers

    • hivelaw

      srotzin
      A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for AI compliance auditing. Scores agent outputs for hallucination liability under the EU AI Act, issues verifiable compliance stamps, and tracks audit history by agent.
      MIT

    • trust-mcp

      BillyTheManBot
      A
      license
      A
      quality
      D
      maintenance
      MCP server that enables AI agents to verify each other's trust scores, register, submit reviews, and find trusted agents before transacting.
      4
      15 npm
      MIT