agentic-platform
# Agentic Platform
[](https://glama.ai/mcp/servers/andysalvo/agentic-platform)
**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.
## Installation
### Remote MCP Server (Hosted)
Add to your MCP client configuration:
```json
{
"mcpServers": {
"agentic-platform": {
"url": "https://platform.crestsystems.ai/mcp"
}
}
}
```
### Claude Code
```bash
claude mcp add agentic-platform --transport http https://platform.crestsystems.ai/mcp
```
### Docker
```bash
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.
## Free Tools (No API Key Needed)
| 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. |
## Expert Skills (Free Tier: 10 Calls/Day)
| 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. |
## Quick Start
```
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
```
## Pricing
- **Free tools:** Unlimited. No API key needed.
- **Expert skills:** 10 free calls/day per API key.
- **Credit packs:** $5 (50 credits) or $20 (250 credits) via Stripe.
## Crest Service Fleet
| Service | URL | Purpose |
|---------|-----|---------|
| **Verify API** | [verify.crestsystems.ai](https://verify.crestsystems.ai) | Conformance verification for x402 action_ref. Submit receipts, get signed verdicts with public permalinks. |
| **Trust Check** | [supership.crestsystems.ai/check](https://supership.crestsystems.ai/check) | Free pre-payment trust oracle for x402 agent commerce. |
| **Conformance** | [crestsystems.ai/conformance](https://crestsystems.ai/conformance) | Public conformance results matrix for action-ref-v1. |
| **x402 Audit** | [audit.crestsystems.ai](https://audit.crestsystems.ai) | Smart contract audit, code scan, wallet risk profiling ($0.25-$1.00 USDC). |
| **x402 Data** | [data.crestsystems.ai](https://data.crestsystems.ai) | Crypto market data ($0.01/call USDC on Base). |
## Governance
This platform operates under three core invariants:
1. **No Silent Inference** -- no inferring or reinterpreting input without explicit documentation
2. **Auditability at the Decision Level** -- every state change traceable to a decision
3. **Explicit Authority Transfer** -- all commitments require explicit authorization
These apply to the platform itself, not just its users.
## Keywords
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, x402 conformance, action-ref verification, agent accountability, trust oracle, agent commerce
## License
MIT
## Built By
[Andy Salvo](https://github.com/andysalvo)
TDQS
Scored across 8 tools
Most tools have distinct purposes: health check, buying credits, usage tracking, cost estimation, skill retrieval, skill listing, MCP linting, and registration. However, 'get_skill' and 'list_skills' are closely related and could potentially be confused if an agent needs to understand their exact relationship, though their descriptions clarify this.
The naming follows a consistent snake_case pattern with clear verb-noun structures (e.g., 'agent_health_check', 'buy_credits', 'list_skills'). Minor deviations include 'mcp_manifest_lint' which uses an acronym and could be more consistent, but overall the naming is predictable and readable.
With 8 tools, the count is well-scoped for an agentic platform covering configuration diagnostics, billing, usage monitoring, cost estimation, skill management, and MCP tool validation. Each tool serves a clear, non-redundant function, making the set appropriately sized for the domain.
The toolset covers key areas like agent configuration, billing, usage, cost analysis, and skill management, with no major gaps for core workflows. A minor gap is the lack of a tool for updating or managing registered accounts beyond initial registration, but agents can likely work around this with existing tools.