Agentic Platform

io.github.andysalvo由 GitHub 账号 andysalvo 发布v1.1.0更新于 Oct 24, 2026

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

发布方自己的服务：agentic.no

已验证Streamable HTTP可网页运行开发者工具 AI 与机器学习

服务详情

标识符: io.github.andysalvo/agentic-platform
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 andysalvo。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.andysalvo%2Fagentic-platform.svg)](https://sourceweft.com/mcp/io.github.andysalvo%2Fagentic-platform?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

托管式 MCP 服务器，可校验 MCP 工具定义、为智能体系统提示词做治理评分，并估算模型成本。

可以做什么: 检查 MCP 工具定义中的反模式、缺失字段、描述质量与 schema 问题，给出通过/失败报告与修复建议
按治理与最佳实践为智能体系统提示词打分（0-100），并给出诊断与改进建议
估算并比较 Claude、GPT、Gemini 等模型的调用成本，提供单次调用、单次运行与每日明细
查阅关于智能体治理、智能体经济与意图架构的专家技能内容
适用场景: 适合在构建或审查 MCP 服务器与智能体提示词时使用，快速做一次校验、获得治理角度的提示词评分，或在定稿设计前比较模型成本。
运行要求: 需要在客户端配置中添加远程 MCP 端点；免费工具据称无需 API 密钥。README 还提到可用于自托管的 Docker 镜像，以及专家技能按 API 密钥每日 10 次免费调用。

安装前请注意

提交的提示词与工具定义会发送到第三方托管服务。README 列出通过 Stripe 购买的付费额度包及同一体系下的其他付费服务，使用前请确认哪些免费。README 中“唯一 MCP 校验器”的说法属于提供方自述。

安装

在 SourceWeft 中

打开控制台中的 Agentic Platform，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.andysalvo%2Fagentic-platform/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

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

README

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:

json

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

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

Claude Code

Docker

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

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	Conformance verification for x402 action_ref. Submit receipts, get signed verdicts with public permalinks.
Trust Check	supership.crestsystems.ai/check	Free pre-payment trust oracle for x402 agent commerce.
Conformance	crestsystems.ai/conformance	Public conformance results matrix for action-ref-v1.
x402 Audit	audit.crestsystems.ai	Smart contract audit, code scan, wallet risk profiling ($0.25-$1.00 USDC).
x402 Data	data.crestsystems.ai	Crypto market data ($0.01/call USDC on Base).

Governance

This platform operates under three core invariants:

No Silent Inference -- no inferring or reinterpreting input without explicit documentation
Auditability at the Decision Level -- every state change traceable to a decision
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