Odel
Agentic Platform

Agentic Platform

@andysalvoDeveloper Tools1PythonMITUpdated 1mo ago

Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.

Server endpointStreamable HTTP

This is the third-party server itself — Odel doesn't run it. Hitting this URL directly talks straight to the upstream server with no auth or proxying. Connect through Odel to front it with managed auth.

Agentic Platform

agentic-platform MCP server

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:

{
  "mcpServers": {
    "agentic-platform": {
      "url": "https://platform.crestsystems.ai/mcp"
    }
  }
}

Claude Code

claude mcp add agentic-platform --transport http https://platform.crestsystems.ai/mcp

Docker

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)

ToolWhat It Does
mcp_manifest_lintThe only MCP linter. Validate your tool definitions for anti-patterns, missing fields, bad descriptions, and schema issues. Pass/fail report with fixes.
agent_health_checkScore your agent's system prompt on governance and best practices (0-100). Detailed diagnostic with specific issues and remediation.
estimate_agent_costCompare 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)

SkillDescription
governanceDesign agent systems that preserve human authority. 3 core invariants, Coupled Authority Phenomenon, 14 forbidden failure modes.
agentic-economicsPricing models, unit economics, and revenue architecture for AI agent platforms. Market projections, cost-to-serve benchmarks (March 2026).
intent-architectureBuild 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

ServiceURLPurpose
Verify APIverify.crestsystems.aiConformance verification for x402 action_ref. Submit receipts, get signed verdicts with public permalinks.
Trust Checksupership.crestsystems.ai/checkFree pre-payment trust oracle for x402 agent commerce.
Conformancecrestsystems.ai/conformancePublic conformance results matrix for action-ref-v1.
x402 Auditaudit.crestsystems.aiSmart contract audit, code scan, wallet risk profiling ($0.25-$1.00 USDC).
x402 Datadata.crestsystems.aiCrypto 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