PulseGatePost-LLM software, agents & workflows market (since 2022)
Coverage
166,573

Apps indexed

 

Freshness
19 min ago

Last update

 

Cadence
1,435/day

7-day average

Indexed today: 515

PulseGate

Market catalog for public software products, models, infra, and workflow tools.

Software is shipping faster than ever, and a growing share of it lives outside the official app stores. PulseGate is a free public catalog — built for builders, analysts, and everyday users.

Platform

  • All Apps
  • Categories
  • Industry Updates
  • Data Sources
  • Coverage Rules
  • Glossary
  • Embed Widget

Support

  • Help Center
  • Submit a Project
  • Report an Issue

Company

  • About
  • Press & Data
  • Contact
  • Platform Status

Legal

  • Privacy
  • Terms
  • Disclaimer

© 2026 PulseGate. Operated by Dymaxio s.r.o., Prague, Czech Republic.·

All systems operational
  1. Home/
  2. revenium-mcp/
  3. Alternatives

revenium-mcp Alternatives

Model Context Protocol (MCP) server for Revenium API monitoring, analytics, and AI spending management Below are 18 infrastructure & backend apps with similar functionality to revenium-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.

  • mcp-recon
    github.com

    Reconnaissance and known-issue scanner for Model Context Protocol (MCP) servers

  • librenms-mcp
    github.com

    MCP server for LibreNMS management

  • wwa-mcp
    pypi.org

    Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.

  • mcp-vuln-scanner
    github.com

    AI-powered security vulnerability scanner for MCP (Model Context Protocol) servers with automatic fixes, secret detection, and multi-channel alerts

  • link-mcp
    github.com

    MCP server for Link local agent memory — remember, recall, search, context, and graph traversal

  • eip-mcp
    github.com

    eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.

  • gmc-mcp
    github.com

    MCP server for Google Merchant Center on Merchant API v1. MIT-licensed, pip install-able, 126 tools across 19 modules with audit log, rollback, and dry-run.

  • mcp-chat
    github.com

    Simple MCP Client to quickly test and explore MCP servers from the command line

  • rootly-mcp-server
    pypi.org

    Secure Model Context Protocol server for Rootly APIs with AI SRE capabilities, comprehensive error handling, and input validation

  • mcpready
    pypi.org

    CI gate for MCP servers

  • mcp-feedback-pro
    github.com

    Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.

  • mcp-ai-forever
    github.com

    Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.

  • mcpsec
    github.com

    Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections

  • mcp-probe-cli
    github.com

    Test your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.

  • mcp-server-sentinel
    github.com

    MCP server for Sentinel QA — manage test cases from any AI assistant

  • mcp-vulnscan
    github.com

    Static analysis tool for MCP server Python code — detects security vulnerabilities via AST and taint tracking.

  • mcp-news
    github.com

    MCP server that collects articles from 1100+ RSS feeds across 150+ countries

  • ferret-mcp
    github.com

    MCP server that extracts complete knowledge from any codebase — architecture, patterns, dependencies, API surface