Server data from the Official MCP Registry
Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.
Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.
Remote endpoints: streamable-http: https://api.asalvocreative.com/mcp
Valid MCP server (1 strong, 4 medium validity signals). 2 known CVEs in dependencies (0 critical, 1 high severity) Imported from the Official MCP Registry.
9 tools verified · Open access · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-andysalvo-agentic-platform": {
"url": "https://api.asalvocreative.com/mcp"
}
}
}From the project's GitHub README.
The only MCP linter that exists. Plus free governance scoring and cost estimation for AI agents.
Validate your MCP tool definitions, score your agent's system prompt on governance best practices (0-100), and compare costs across all major models. No API key needed.
Add to your MCP client configuration:
{
"mcpServers": {
"agentic-platform": {
"url": "http://165.22.46.178:8080/mcp"
}
}
}
claude mcp add agentic-platform --transport http http://165.22.46.178:8080/mcp
docker run -p 8080:8080 ghcr.io/andysalvo/agentic-platform:latest
Works with Claude Desktop, Claude Code, VS Code, Cursor, Cline, and any MCP-compatible client.
| Tool | What It Does |
|---|---|
mcp_manifest_lint | The only MCP linter. Validate your tool definitions for anti-patterns, missing fields, bad descriptions, and schema issues. Pass/fail report with fixes. |
agent_health_check | Score your agent's system prompt on governance and best practices (0-100). Detailed diagnostic with specific issues and remediation. |
estimate_agent_cost | Compare costs across Claude, GPT, Gemini, and other models. Per-call, per-run, and per-day breakdown with optimization tips. |
| Skill | Description |
|---|---|
governance | Design agent systems that preserve human authority. 3 core invariants, Coupled Authority Phenomenon, 14 forbidden failure modes. |
agentic-economics | Pricing models, unit economics, and revenue architecture for AI agent platforms. Market projections, cost-to-serve benchmarks (March 2026). |
intent-architecture | Build deterministic, auditable systems. Append-only decision logs, 9 system invariants, implementation patterns, embodiment tests. |
1. mcp_manifest_lint(tools_json='[{"name":"my_tool","description":"Does something"}]')
-> Pass/fail report with specific fixes
2. agent_health_check(system_prompt="Your agent's system prompt here")
-> Score 0-100 with detailed diagnostic
3. estimate_agent_cost(model="claude-sonnet-4", input_tokens=2000, output_tokens=1000, num_calls=10)
-> Cost comparison table across all major models
This platform operates under three core invariants:
These apply to the platform itself, not just its users.
MCP server, MCP linter, MCP validator, MCP manifest lint, agent governance, agent health check, agent cost estimator, AI agent tools, Model Context Protocol, MCP tool validation, agent diagnostics, governance scoring
MIT
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