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mcp-registryMCP registry 搜索

Agent Skill

mcp-registry 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,093

周安装

164

GitHub Stars

公开资料未说明

下载量

1,325
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcp-registry(MCP registry 搜索)
来源仓库:https://github.com/mcpcentral-io/mcp-registry
安装命令:
openclaw skills install mcp-registry
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install mcp-registry

简介

官方MCP注册表与MCPCentral联合索引平台。

  • 可按关键词搜索服务器并获取规格参数。
  • 自动生成主流客户端的配置代码片段。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 优先展示通过安全审计的成熟项目。mcp-registry 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 用户仍须自行验证功能与自身需求匹配度。

SKILL.md

name
mcp-registry
description
Discover, search, and browse MCP servers from the official MCP Registry
compatibility
Requires internet access to registry.modelcontextprotocol.io and mcpcentral.io
metadata
author
mcpcentral.io
version
1.0.0

MCPCentral - MCP Server Discovery

Discover and search MCP servers using two real data sources:

  1. Official MCP Registry (registry.modelcontextprotocol.io) — canonical source for server metadata, versions, packages, transport config, and environment variables. Public, no auth required.
  2. MCPCentral (mcpcentral.io) — enrichment data: GitHub stars, npm downloads, editorial picks. Paginated bulk endpoint.

Gotchas

  • Server names contain / and must be URL-encoded. Names like io.github.owner/server-name must be encoded as io.github.owner%2Fserver-name in URL path segments. Forgetting this causes 404 "Endpoint not found" errors.
  • cursor vs next_cursor naming inconsistency. The MCPCentral API accepts a cursor query parameter for pagination, but the response field containing the next token is named next_cursor. These are different names for input and output.
  • MCPCentral has no search parameter. The mcpcentral.io/api/servers endpoint only supports paginated browsing sorted by stars. Use the official registry for keyword search.
  • title and websiteUrl may be null. Fall back to name for display and repository.url for linking when these fields are absent.
  • MCPCentral enrichment data may lag the official registry. Always use the official registry for authoritative version and package data; treat MCPCentral metrics as supplemental.

Important: What the Registry Contains (and Doesn't)

Contains: Package metadata (npm/pypi/docker identifiers), install commands, transport configuration (stdio/SSE/streamable-http), environment variables, remote URLs, repository links, version history.

Does NOT contain: Tool schemas, tool lists, or runtime behavior. The registry stores *how to install and connect* to a server, not *what tools it exposes*.

To discover a server's actual tools: Install it and call tools/list via MCP protocol, or read its README/documentation.

API Reference

All endpoints are public. No authentication required.

Official Registry Endpoints

Search servers:

curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=QUERY&limit=N&version=latest"

Parameters: search (substring match on name/description), limit (results per page, default 100), cursor (pagination token from previous response), updated_since (ISO 8601 datetime), version=latest (only latest versions).

Get specific server version:

curl "https://registry.modelcontextprotocol.io/v0.1/servers/SERVER_NAME_URL_ENCODED/versions/latest"

The server name contains a / (e.g., io.github.owner/server-name), so it must be URL-encoded as %2F in the path. Example: io.github.Digital-Defiance%2Fmcp-filesystem.

List all versions:

curl "https://registry.modelcontextprotocol.io/v0.1/servers/SERVER_NAME_URL_ENCODED/versions"

MCPCentral Endpoint

Browse servers with enrichment data:

curl "https://mcpcentral.io/api/servers?limit=N&cursor=TOKEN"

Returns servers sorted by stars (descending). Response includes: count (total), limit, next_cursor (base64 pagination token), servers[]. No search parameter — use for browsing popular servers or enriching data from the official registry.

Note: The pagination query parameter is cursor, but the response field containing the next token is next_cursor.

Capabilities

Searching for Servers

Use the official registry search endpoint. The search is a substring match on server names and descriptions — it is not NLP or semantic search.

curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=postgres&limit=5&version=latest"

Parse the response: Each result is in servers[].server with fields: name, description, version, repository.url, packages[], remotes[]. Metadata is in servers[]._meta["io.modelcontextprotocol.registry/official"] with status, publishedAt, updatedAt, isLatest.

Pagination: If metadata.nextCursor is present, pass it as cursor to get the next page.

Fallback strategies for few/no results:

  • Try shorter or alternative keywords (e.g., "db" instead of "database")
  • Try the package name (e.g., "mcp-server-sqlite" instead of "sqlite tool")
  • Browse recent servers without a search term

Getting Server Details

Fetch the latest version of a specific server by name:

curl "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.owner%2Fserver-name/versions/latest"

Key fields to extract from the response:

  • server.name — canonical identifier
  • server.title — human-readable display name (may be null)
  • server.description — what it does
  • server.version — current version
  • server.repository.url — source code link
  • server.websiteUrl — project homepage (may be absent)
  • server.packages[] — install methods, each with:

- registryType (npm, pypi, docker) - identifier (package name) - transport.type (stdio, sse, streamable-http) - environmentVariables[] (name, description, isRequired, isSecret) - runtimeHint (e.g., "node", "python", "uvx") - runtimeArguments[], packageArguments[]

  • server.remotes[] — hosted endpoints (type, url, headers)
  • server.icons[] — server icons (src, theme, sizes)
  • _meta["io.modelcontextprotocol.registry/official"].status — active, deprecated, or deleted
  • _meta["io.modelcontextprotocol.registry/official"].publishedAt, .updatedAt, .isLatest

Listing Versions

Get all published versions of a server:

curl "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.owner%2Fserver-name/versions"

Response is servers[] array, each with full server metadata. Version status is in _meta["io.modelcontextprotocol.registry/official"] with status (active/deprecated/deleted) and isLatest (boolean).

Browsing Recent/Popular Servers

To explore without a specific search term:

Browse by recency (official registry):

curl "https://registry.modelcontextprotocol.io/v0.1/servers?limit=10&version=latest&updated_since=2026-01-01T00:00:00Z"

Browse by popularity (MCPCentral):

curl "https://mcpcentral.io/api/servers?limit=10"

Results are sorted by GitHub stars descending. Pass the next_cursor value from the response as the cursor query parameter to get the next page.

Recommending Servers (AI-Synthesized)

There is no recommendation API. To recommend servers for a user's task:

  1. Extract keywords from the user's request (e.g., "I need to query a database" → search "database", "query", "sql")
  2. Run multiple searches with different keywords against the official registry
  3. Merge and rank results based on: description relevance, number of keyword matches, whether the server has packages (installable) vs only remotes (hosted)
  4. Present as AI recommendations — clearly label these as your synthesis, not an API result

Generating Setup Guides

Extract installation and configuration from real server metadata. After fetching a server's details:

1. Determine install method from packages[]:

For registryType: "npm":

npx -y PACKAGE_IDENTIFIER

For registryType: "pypi":

uvx PACKAGE_IDENTIFIER
# or: pip install PACKAGE_IDENTIFIER && python -m PACKAGE_IDENTIFIER

For registryType: "docker":

docker run PACKAGE_IDENTIFIER

2. Extract environment variables from packages[].environmentVariables[]: List each with its name, description, and whether isRequired/isSecret.

3. Check for remote endpoints in remotes[]: If the server has remotes[], it can be used without local installation via its hosted URL.

4. Generate MCP client configuration (see "Next Steps After Discovery" below).

Reading Server Documentation

The registry does not store READMEs. To discover a server's actual tools and capabilities:

  1. Extract repository.url from the server metadata
  2. Construct the raw README URL:

- GitHub: https://raw.githubusercontent.com/OWNER/REPO/HEAD/README.md - If the repo has a subfolder, try: https://raw.githubusercontent.com/OWNER/REPO/HEAD/SUBFOLDER/README.md

  1. Fetch and summarize the README content

This is the best way to discover what tools a server actually exposes, since the registry only stores package metadata.

MCPCentral Enrichment

Use the MCPCentral endpoint to add community metrics when presenting servers to users:

curl "https://mcpcentral.io/api/servers?limit=100"

Enrichment fields per server:

  • stars — GitHub stars count
  • npm_weekly_downloads — npm download volume
  • npm_license — package license
  • recommended — MCPCentral editorial recommendation (boolean or null)
  • admin_favorite — MCPCentral staff pick (boolean or null)
  • official — officially maintained (boolean or null)
  • owner.name, owner.avatar_url — author info

When to use: When a user wants to compare servers by popularity, or when browsing for well-maintained options. Match servers between the two sources using the name field (format: io.github.owner/server-name).

Note: MCPCentral has no search parameter. To find a specific server's enrichment data, fetch pages and filter client-side by name, or use it for popularity-sorted browsing.

Next Steps After Discovery

After a user finds a server, provide setup configuration for their MCP client. Generate these from the server's real packages[], remotes[], and environmentVariables[] data.

For stdio-based servers (local install)

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "SERVER_NAME": {
      "command": "npx",
      "args": ["-y", "PACKAGE_IDENTIFIER"],
      "env": {
        "ENV_VAR_NAME": "your-value-here"
      }
    }
  }
}

VS Code (.vscode/mcp.json):

{
  "servers": {
    "SERVER_NAME": {
      "command": "npx",
      "args": ["-y", "PACKAGE_IDENTIFIER"],
      "env": {
        "ENV_VAR_NAME": "your-value-here"
      }
    }
  }
}

Generic (.mcp.json / mcp.json):

{
  "mcpServers": {
    "SERVER_NAME": {
      "command": "npx",
      "args": ["-y", "PACKAGE_IDENTIFIER"],
      "env": {
        "ENV_VAR_NAME": "your-value-here"
      }
    }
  }
}

Adapt the command and args based on registryType:

  • npm: "command": "npx", "args": ["-y", "IDENTIFIER"]
  • pypi: "command": "uvx", "args": ["IDENTIFIER"]
  • docker: "command": "docker", "args": ["run", "-i", "--rm", "IDENTIFIER"]

If the package has runtimeHint or runtimeArguments, use those to build the command instead.

For remote servers (hosted endpoint)

If the server has remotes[] entries, provide the URL-based config:

{
  "mcpServers": {
    "SERVER_NAME": {
      "url": "REMOTE_URL",
      "transport": "sse"
    }
  }
}

Use the remotes[].type to set the transport (sse, streamable-http).

Required environment variables

Always list any environment variables from packages[].environmentVariables[], noting which are required and which are secrets. Example:

Required environment variables: - DATABASE_URL (required) — PostgreSQL connection string - API_KEY (required, secret) — Authentication token

Error Handling

404 "Endpoint not found": The server name must be URL-encoded. The / in names like io.github.owner/repo must be encoded as %2F.

Empty search results: Try shorter keywords, alternative terms, or browse without a search term. The search is substring-based, not fuzzy.

Rate limiting: The official registry is public with generous limits. If you encounter rate limits, add a brief pause between requests.

Stale MCPCentral data: The MCPCentral bulk endpoint may lag behind the official registry. Always prefer the official registry for version and package data; use MCPCentral only for enrichment metrics.

Limitations

  • No tool schemas in the registry. The registry stores package/install metadata only. To see what tools a server exposes, read its README or install it and call tools/list.
  • Search is substring-based. The official registry search matches substrings in name and description fields. It does not support semantic/NLP search, relevance scoring, or category filtering.
  • MCPCentral has no search. The MCPCentral endpoint returns servers sorted by stars with pagination, but has no search parameter.
  • Server names must be URL-encoded in path parameters since they contain /.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.72%
按下载量换算1,003

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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