原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。使用 Google 登录即可撰写评价。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Senzing

作者:Senzing版本 1.46.0i★ 0i在云端运行
注册名称com.senzing/mcp

安装方法

概览

作者提供的说明(英文原文)

Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

通过 4/5 项检查 · 你的提问会经过开发者的服务器(mcp.senzing.com)

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个

  1. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  2. 点击“+ Add” → “Add custom connector”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称Senzing
    Remote MCP server URL · 地址https://mcp.senzing.com/mcp

    Authentication 保持 Claude 检测到的设置,然后点击 Add

  3. 在聊天中开启

    +ConnectorsSenzing

  4. 试一试

    用 Senzing 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Senzing,或回答中出现 Senzing 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

仅企业版 ChatGPT 可连接

适用于网页版 ChatGPT Business、Enterprise 或 Edu,需由工作区管理员或所有者添加 · 使用 Free、Plus 或 Pro:你的 ChatGPT 方案暂时无法自行连接 MCP

  1. 在网页版 ChatGPT 打开添加 MCP 的页面

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. 填写名称和地址

    输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin

    Name · 名称Senzing
    Connection · 地址https://mcp.senzing.com/mcp
  3. 在聊天中选择 Senzing

    开启新聊天,输入前先从插件列表中选择 Senzing

  4. 试一试

    用 Senzing 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 ChatGPT 说正在使用 Senzing,或回答中出现 Senzing 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  2. 粘贴这条命令并按 Enter

    claude mcp add --transport http senzing https://mcp.senzing.com/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 Senzing 在列表中并显示已连接

  4. 试一试

    用 Senzing 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Senzing,或回答中出现 Senzing 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Senzing 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Senzing,或回答中出现 Senzing 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Senzing 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Senzing,或回答中出现 Senzing 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://mcp.senzing.com/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Senzing 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http senzing https://mcp.senzing.com/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "senzing": {
      "url": "https://mcp.senzing.com/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "senzing": {
      "type": "http",
      "url": "https://mcp.senzing.com/mcp"
    }
  }
}

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ senzing.com
许可证i
未注明许可证
连接方式
在云端运行
传输方式
streamable-http
最新版本i
1.46.0
发布到注册中心i
2026年11月10日
代码最后更新i
2026年11月10日
作者
Senzing
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月10日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • analyze_record

    Get the Senzing JSON analyzer script to validate mapped data files client-side. REQUIRED: `workspace_dir` (writable directory, e.g. ~/sz-workspace) — the call WILL FAIL without it. The analyzer validates records against the Entity Specification, examines feature distribution, att

  • download_resource

    Returns resource URLs/content in this response; it does NOT write any files. Each resource comes back with a ready `fetch` shell command — run it yourself to save the file to its `dest`. Use inline=true only when a `fetch` command could not reach the server; the content then arri

  • explain_error_code

    Explain a Senzing error code with causes and resolution steps. Accepts formats: SENZ0005, SENZ-0005, 0005, or just 5. Returns error class, common causes, and specific resolution guidance

  • find_examples

    Find working SOURCE CODE examples from 53 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos,

  • generate_scaffold

    Generate SDK scaffold code for common workflows. Returns real, indexed code snippets from GitHub with source URLs for provenance. Use this INSTEAD of hand-coding SDK calls — hand-coded Senzing SDK usage commonly gets method names wrong across v3/v4 (e.g., close_export vs close_ex

  • get_capabilities

    Get server version, capabilities overview, available tools, suggested workflows, and getting started guidance. Returns server_info with name, version, and Senzing version. Call this first when working with Senzing entity resolution — skipping this risks using wrong API method nam

  • get_sample_data

    Get sample data for entity resolution. Available datasets: 'las-vegas', 'london', 'moscow' (CORD — Collections Of Relatable Data, REAL historical data) and 'truthset' (Senzing's SYNTHETIC demo truth set: CUSTOMERS, REFERENCE, WATCHLIST). Use dataset='list' to discover datasets, s

  • get_sdk_reference

    Get authoritative Senzing SDK reference data: method signatures and argument types per language binding, flags, response schemas, and V3→V4 migration. Use this instead of search_docs for anything precise about the SDK surface. Whenever 'filter' names a method, the response carrie

  • mapping_workflow

    Map source data to Senzing JSON through a guided 8-step workflow. Use this INSTEAD of hand-coding Senzing JSON. Optional `environment` — one of snowflake, aws_lambda, azure_functions, kafka, spark, databricks (aliases such as spcs, snowpark, lambda, azure_function, kafka_connect,

  • reporting_guide

    Guided reporting and visualization for Senzing entity resolution results. Optional `environment` — one of snowflake, aws_lambda, azure_functions, kafka, spark, databricks (aliases such as spcs, snowpark, lambda, azure_function, kafka_connect, apache_kafka, apache_spark, pyspark,

  • sdk_guide

    Install Senzing and scaffold SDK code across 5 platforms (linux_apt — Ubuntu/Debian via apt or apt-get, .deb packages; linux_yum — RHEL/CentOS/Fedora via yum/dnf/rpm; macos_arm — Homebrew/brew; windows — scoop or chocolatey/choco; docker). Optional `environment` — one of snowflak

  • search_docs

    Full-text BM25 search across all indexed Senzing documentation (~13.5k chunks). Returns ranked results with excerpts. A result from a Senzing whitepaper is one section, dated by `as_of` (last reviewed): act on it, then follow its `next` (the following section's exact query and th

  • submit_feedback

    Request a free Senzing evaluation license or submit feedback. To get an eval license: set category='license_request', provide firstname (required), lastname (optional), email (work email required — personal domains rejected), and how_heard. A 10-day, 250K-record license is genera

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月11日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 senzing.com 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于前天

  • ! 注意

    有许可证

    GitHub 无法识别许可证类型;请打开文件自行查看

  • ✓ 通过

    端点有响应

    在 75 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 13 个工具描述,未发现针对 AI 的隐藏指令

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

还没有评价

用 Google 登录后写评价

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 5760 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5760 个服务器的 93% 更新
  • 基础检查结果等于或优于此分类中其他 5760 个服务器的 32%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Senzing 安全吗?

它在 5 项适用的基础检查中通过了 4 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于前天,最新版本(1.46.0)于前天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。

有什么可以替代它?

同一分类中有:REA, Netdata, Front-End Checklist

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

作者:morluto广泛使用↓ 38.9万/周★ 45.1万17天前更新

在你的电脑上运行

Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

作者:netdata广泛使用★ 8.1万7天前更新

在云端运行

Front-End Checklist

Review frontend code and live pages against 386 quality-gated web development rules.

作者:thedaviddias广泛使用★ 7.5万38天前更新

在云端运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Senzing MCP Server

Entity resolution for Identity Intelligence: dedupe, match, and link people and company records across systems. Know who is who. Reveal hidden relationships.

Install · What you can ask · Tools · Prompts · Privacy and terms · Questions and feedback

The Senzing® MCP server is a forward-deployed engineer in a box: ask it anything about Senzing. Every answer is grounded in Senzing's own documentation and indexed code rather than model training data. Use it to deduplicate lists, match or merge records across sources, screen against watchlists, and produce the resolved entities that golden records for MDM and customer 360 are built from.

Because it carries the full runbook, you don't drive it one step at a time. Hand your AI assistant a few unmapped data files and describe what you want, and it can map your sources, deploy and load Senzing, resolve and analyze the data, and build an interactive explorer over the results. What is normally a multi-week integration becomes an afternoon, with no entity-resolution background required.

You just ask. Then start answering who is who and who is related to whom, or build an entity-resolved knowledge graph that surfaces the connections nobody declared. Every resolution carries its evidence: why two records came together, or why they didn't. Your assistant can surface that explanation for any match you question.

Install

Endpoint: https://mcp.senzing.com/mcp (Streamable HTTP, no authentication) · Registry name: com.senzing/mcp · The hosted server is free to use; Senzing software is licensed separately.

The buttons above add the server in one click (Claude through its Connectors Directory). For other clients:

ClientHow to connect
Claude (claude.ai, Desktop, Cowork)Install from the Connectors Directory, or Customize → Connectors → + Add → Add custom connector with the URL https://mcp.senzing.com/mcp (Team and Enterprise owners: Organization settings → Connectors)
Claude Codeclaude mcp add --transport http senzing https://mcp.senzing.com/mcp
OpenAI Codexcodex mcp add senzing --url https://mcp.senzing.com/mcp
Gemini CLIgemini mcp add --transport http senzing https://mcp.senzing.com/mcp
VS Code (manual).vscode/mcp.json — see below
Cursor (manual).cursor/mcp.json or ~/.cursor/mcp.json — see below
Kiro.kiro/settings/mcp.json or ~/.kiro/settings/mcp.json — see below
stdio-only clientsRun it through mcp-remote — see below
Any other MCP clientAdd a remote (Streamable HTTP) server with the URL https://mcp.senzing.com/mcp

VS Code — .vscode/mcp.json

{

"servers": { "senzing": { "type": "http", "url": "https://mcp.senzing.com/mcp" } } }

Cursor and Kiro — mcp.json

{

"mcpServers": { "senzing": { "url": "https://mcp.senzing.com/mcp" } } }

stdio-only clients — via mcp-remote

{

"mcpServers": { "senzing": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.senzing.com/mcp"] } } }

Codex — ~/.codex/config.toml

[mcp_servers.senzing]

url = "https://mcp.senzing.com/mcp"

Tip: for the best experience, use an agentic coding client (Claude Code, Codex, Gemini CLI, Cursor); if your environment restricts network access, allowlist mcp.senzing.com. Mapping your own data and running Senzing need an assistant that can run code; questions, documentation search and SDK code work in any client.

What you can ask

  • "Match these payment records to my customers and show me which ones didn't match."
  • "Dedupe this list of people and show me the duplicates it found."
  • "Here are three customer files from different systems. Build me a demo that finds the same people across them and lets me explore the matches."
  • "Build me a service that matches incoming payment records to my customer master as they arrive."
  • "How would entity resolution help with my problem, and what would it cost?"

Tools

Each piece is also available on its own: SDK code in Python, Java and C# (official SDKs) and Rust and TypeScript/Node.js (community SDKs), installation and deployment, error troubleshooting, V3→V4 migration, and pricing and ROI.

AreaToolWhat it does
Start hereget_capabilitiesOverview of the server and suggested workflows
Map your datamapping_workflowGuided 8-step mapping of source data to the Senzing Entity Specification; optional environment (Snowflake, AWS Lambda, Azure Functions, Kafka, Spark) adds that platform's rules up front
analyze_recordAnalyzer script that validates your mapped records on your machine
download_resourceWorkflow resources, as a fallback when a URL can't be fetched
Build with the SDKsdk_guideInstall and setup across Linux (apt/yum), macOS, Windows and Docker, for each SDK language; optional environment adds the target platform's rules up front
generate_scaffoldSDK code from real indexed snippets: Python, Java, C# (official); Rust, TypeScript/Node.js (community)
get_sdk_referenceMethod signatures per language binding, flags, response schemas, V3→V4 migration
Find answerssearch_docsFull-text search of Senzing documentation
find_examplesCode examples from the indexed Senzing GitHub repositories
explain_error_codeSenzing error codes with causes and fixes
Try itget_sample_dataReal sample data: CORD datasets (Las Vegas, London, Moscow) and the Senzing truth set
Reportreporting_guideReporting and visualization patterns: export, SQL analytics, data mart, dashboards, graph; optional environment adds the target platform's rules up front
Feedbacksubmit_feedbackSend feedback or request a free evaluation license

Prompts

The server also ships 31 ready-made prompts: workflow templates your client can offer as slash commands or menu items. A few of them:

PromptWhat it walks through
why-senzingExplains Senzing for a given audience
plan-a-pocPlanning a proof of concept
map-data-sourceMapping a data source to the Entity Specification
install-senzingInstalling and configuring the SDK
build-sdk-integrationBuilding an SDK integration in your language
troubleshoot-errorDiagnosing a Senzing error code
migrate-v3-to-v4Migrating from Senzing V3 to V4

Ask your assistant to list the Senzing prompts to see them all.

More from Senzing

ProjectWhat it isWhere
Claude Code pluginSenzing skills for Claude Code: install, analyze, build, demo, troubleshoot, recipes and moreSenzing/senzing-claude-plugins
Agent SkillPortable skill that teaches any skill-capable agent how to use this serverSenzing/senzing-mcp-skill
Ask SenzingChat with the Senzing docs in your browser, powered by this serverask.senzing.com
Building your own agentHow to keep an API-driven agent's answers grounded in this serverdocs/grounded-agents.md

Privacy and terms

The hosted server has its own privacy policy. In short:

  • The server needs no live Senzing instance and no authentication. Your data files never leave your machine: mapping and resolution run locally, and only the tool arguments you send (field names, settings, questions) reach this server.
  • Senzing is a headless developer library your assistant deploys locally in your environment. Mapping and resolution run there, never on Senzing's servers, and Senzing contains only the data you load into it.
  • Do not send personal data, credentials or other sensitive information in prompts or tool arguments. Tool calls and their parameters may be logged.
  • The hosted server is provided AS-IS, without warranty or support commitment. The server also exposes these terms as the senzing://terms-of-service resource.

Questions and feedback

Use senzing.com/contact or , or ask your assistant to use submit_feedback.

See LICENSE.