Parser
БесплатноНе проверенSnapshot, parse, validate, and document Model Context Protocol servers.
Описание
Snapshot, parse, validate, and document Model Context Protocol servers.
README
Snapshot, parse, validate, and document Model Context Protocol servers.
MCP Protocol Compatibility
Built against the MCP specification. Supports all released protocol versions:
| Protocol Version | Status |
|---|---|
| 2025-11-25 | Current stable |
| 2025-06-18 | Supported |
| 2025-03-26 | Supported |
| 2024-11-05 | Supported |
All three MCP transports are supported: stdio, SSE, and streamable HTTP.
Install
npm install mcp-parser
Quick Start
import { snapshot, validate, generateMarkdown } from "mcp-parser";
import { writeFile } from "node:fs/promises";
const spec = await snapshot({
transport: { type: "stdio", command: "node", args: ["server.js"] },
});
const result = validate(spec);
if (!result.valid) {
for (const d of result.diagnostics) {
console.error(`${d.severity}: ${d.path} - ${d.message}`);
}
}
await writeFile("mcp.json", JSON.stringify(spec, null, 2));
await writeFile("mcp.md", generateMarkdown(spec));
What is mcp.json?
A static snapshot of an MCP server's capabilities: its tools, resources, and prompts. Think of it as openapi.json for MCP servers.
MCP servers describe themselves at runtime via tools/list, resources/list, and prompts/list. An mcp.json captures that live surface in a versionable file for documentation, validation, diffing, and tooling that should not need a running server.
See mcp-schema for the full type definitions and JSON Schema.
API
parse(path, options?)
Parse an mcp.json file into a typed McpSpec object.
const spec = await parse("./mcp.json");
console.log(spec.server.name); // "my-server"
console.log(spec.tools?.length); // 5
Options:
dereference(default:true). Resolves$refpointers using the spec's$defs.
parseString(content, options?)
Parse a JSON string directly.
const spec = parseString('{ "mcpSpec": "0.3.1", ... }');
validate(spec)
Validate an McpSpec for correctness and best practices.
const result = validate(spec);
// result.valid: boolean (true if no errors)
// result.diagnostics: array of { severity, path, message }
Checks for:
- Required fields (mcpSpec, server, tool names, inputSchema)
- Duplicate tool/resource/prompt names
- Missing descriptions (warnings)
- Invalid inputSchema types
snapshot(options)
Connect to a running MCP server and capture a static snapshot. Supports all three MCP transports.
import { snapshot } from "mcp-parser";
import { writeFile } from "node:fs/promises";
// stdio
const spec = await snapshot({
transport: { type: "stdio", command: "node", args: ["server.js"] },
});
// SSE
const spec = await snapshot({
transport: { type: "sse", url: "http://localhost:3000/sse" },
});
// Streamable HTTP
const spec = await snapshot({
transport: { type: "streamable-http", url: "http://localhost:3000/mcp" },
});
await writeFile("mcp.json", JSON.stringify(spec, null, 2));
All transports support an optional timeout (default: 30s). SSE and HTTP transports accept a headers object for authentication.
generateMarkdown(spec)
Generate a full markdown reference document.
generateLlmsTxt(spec, baseUrl?)
Generate a compact llms.txt-style index. This is a compatibility export for tools and docs sites that already consume the convention, not a guarantee that model providers will discover or fetch it automatically.
const txt = generateLlmsTxt(spec, "https://docs.example.com");
generateLlmsFullTxt(spec)
Generate a complete markdown reference with the server context inline.
const full = generateLlmsFullTxt(spec);
CLI
# Parse and pretty-print
mcp-parser parse ./mcp.json
# Validate
mcp-parser validate ./mcp.json
# Snapshot via stdio
mcp-parser snapshot --stdio "node server.js" -o mcp.json
# Snapshot via SSE
mcp-parser snapshot --sse http://localhost:3000/sse -o mcp.json
# Snapshot via streamable HTTP
mcp-parser snapshot --http http://localhost:3000/mcp -o mcp.json
# With auth headers
mcp-parser snapshot --sse http://localhost:3000/sse --header "Authorization:Bearer tok" -o mcp.json
# Generate markdown reference (default)
mcp-parser generate ./mcp.json -o mcp.md
# Generate compact context index
mcp-parser generate ./mcp.json --format llms-txt -o llms.txt
# Generate full context reference
mcp-parser generate ./mcp.json --format llms-full-txt -o llms-full.txt
MCP Specification Resources
- MCP Specification (current stable)
- Specification repo (includes JSON Schema for each protocol version)
- TypeScript SDK (
@modelcontextprotocol/sdk) - Python SDK (
mcpon PyPI)
Related
- mcp-schema: TypeScript types and JSON Schema for MCP specs
- sourcey: generate documentation from MCP specs, OpenAPI, and markdown
License
MIT
Установить Parser в Claude Desktop, Claude Code, Cursor
unyly install parserСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add parser -- npx -y mcp-parserFAQ
Parser MCP бесплатный?
Да, Parser MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Parser?
Нет, Parser работает без API-ключей и переменных окружения.
Parser — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Parser в Claude Desktop, Claude Code или Cursor?
Открой Parser на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Parser with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
