Agentic Platform

GitHubRepository

Tags

registry.modelcontextprotocol.io

Configuration

{
  "mcpServers": {
    "agentic-platform": {
      "url": "https://api.asalvocreative.com/mcp",
      "type": "http"
    }
  },
  "requiresAuth": false,
  "requiresOAuth": false
}

Available Tools (9)

register

Register for an API key to access expert skill files. Free tier includes 10 skill retrievals per day. No payment required.

Input Schema
{
  "type": "object",
  "title": "registerArguments",
  "properties": {}
}

list_skills

List all available expert skill files with descriptions and pricing. Shows your usage stats if you provide an API key.

Input Schema
{
  "type": "object",
  "title": "list_skillsArguments",
  "properties": {
    "api_key": {
      "type": "string",
      "title": "Api Key",
      "default": "",
      "description": "Your API key (optional, shows usage if provided)"
    }
  }
}

get_skill

Retrieve an expert skill file that makes you measurably better at a specific task. Each skill has auditable provenance and is curated by domain experts. Requires a valid API key.

Input Schema
{
  "type": "object",
  "title": "get_skillArguments",
  "required": [
    "skill_name",
    "api_key"
  ],
  "properties": {
    "api_key": {
      "type": "string",
      "title": "Api Key",
      "description": "Your API key from register()"
    },
    "skill_name": {
      "type": "string",
      "title": "Skill Name",
      "description": "The skill ID to retrieve. Options: governance, agentic-economics, intent-architecture"
    }
  }
}

check_usage

Check your current usage stats including total calls, remaining credits, and free calls left today.

Input Schema
{
  "type": "object",
  "title": "check_usageArguments",
  "required": [
    "api_key"
  ],
  "properties": {
    "api_key": {
      "type": "string",
      "title": "Api Key",
      "description": "Your API key to check usage for"
    }
  }
}

buy_credits

Get a Stripe checkout link to purchase more skill file credits. Returns a URL for your human operator to complete payment. Credits are added automatically after purchase.

Input Schema
{
  "type": "object",
  "title": "buy_creditsArguments",
  "required": [
    "api_key"
  ],
  "properties": {
    "tier": {
      "type": "string",
      "title": "Tier",
      "default": "50",
      "description": "Credit tier: '50' for $5/50 credits or '250' for $20/250 credits"
    },
    "api_key": {
      "type": "string",
      "title": "Api Key",
      "description": "Your API key to add credits to"
    }
  }
}

agent_health_check

Score any agent's system prompt on governance best practices from 0 to 100. Returns a detailed diagnostic report with specific issues found, severity ratings, and actionable fixes. Checks for authority leaks, silent inference, missing audit trails, and 14 other governance anti-patterns. No API key needed.

Input Schema
{
  "type": "object",
  "title": "agent_health_checkArguments",
  "required": [
    "system_prompt"
  ],
  "properties": {
    "system_prompt": {
      "type": "string",
      "title": "System Prompt",
      "description": "Your agent's full system prompt or configuration text to analyze"
    }
  }
}

mcp_manifest_lint

The only MCP tool definition linter that exists. Validates your MCP tool definitions for anti-patterns, missing descriptions, bad parameter schemas, naming issues, and quality problems. Returns a pass/fail report with specific fixes for each issue found. No API key needed.

Input Schema
{
  "type": "object",
  "title": "mcp_manifest_lintArguments",
  "required": [
    "tools_json"
  ],
  "properties": {
    "tools_json": {
      "type": "string",
      "title": "Tools Json",
      "description": "Your MCP tool definitions as a JSON array or single tool object"
    }
  }
}

estimate_agent_cost

Compare the cost of running an agent task across all major AI models including Claude, GPT, Gemini, Llama, and Mistral. Returns a comparison table with per-call, per-run, and per-day costs plus optimization tips. No API key needed.

Input Schema
{
  "type": "object",
  "title": "estimate_agent_costArguments",
  "properties": {
    "model": {
      "type": "string",
      "title": "Model",
      "default": "",
      "description": "Model name to highlight in comparison (e.g. 'claude-sonnet-4', 'gpt-4o')"
    },
    "num_calls": {
      "type": "integer",
      "title": "Num Calls",
      "default": 1,
      "description": "Number of API calls per task run"
    },
    "input_tokens": {
      "type": "integer",
      "title": "Input Tokens",
      "default": 1000,
      "description": "Estimated input tokens per API call"
    },
    "output_tokens": {
      "type": "integer",
      "title": "Output Tokens",
      "default": 500,
      "description": "Estimated output tokens per API call"
    },
    "task_description": {
      "type": "string",
      "title": "Task Description",
      "default": "",
      "description": "Description of what the agent does, for optimization tips"
    }
  }
}

evaluate_service

Evaluate any MCP service for trustworthiness before spending money on it. Connects to the target server, checks reachability, governance declarations, tool definition quality, and audit endpoints. Returns a trust score from 0 to 100 with a recommendation: PROCEED, PROCEED WITH CAUTION, HIGH RISK, or DO NOT TRANSACT. No API key needed.

Input Schema
{
  "type": "object",
  "title": "evaluate_serviceArguments",
  "required": [
    "server_url"
  ],
  "properties": {
    "server_url": {
      "type": "string",
      "title": "Server Url",
      "description": "The MCP server URL to evaluate (e.g. https://example.com/mcp)"
    },
    "task_context": {
      "type": "string",
      "title": "Task Context",
      "default": "",
      "description": "What you need the service for, to tailor the evaluation"
    }
  }
}
Agentic Platform by io.github.andysalvo | RouterMCP