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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Bls Labor MCP Server

作者:cyanheads版本 0.7.1i★ 2i电脑或云端
注册名称io.github.cyanheads/bls-labor-mcp-server

安装方法

What it does

Fetch US Bureau of Labor Statistics data — CPI, unemployment, wages, JOLTS, and more via MCP.

  • Connects 电脑或云端
  • Account or key No key needed
  • Category 数据库与数据集

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(bls-labor.caseyjhand.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 · Team/Enterprise 方案由所有者(Owner)添加

  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Bls Labor MCP Server
    Remote MCP server URL · 地址https://bls-labor.caseyjhand.com/mcp

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

  3. 在聊天中开启

    +ConnectorsBls Labor MCP Server

  4. 试一试

    用 Bls Labor MCP Server 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 Bls Labor MCP Server,或回答中出现 Bls Labor MCP Server 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Bls Labor MCP Server
    Connection · 地址https://bls-labor.caseyjhand.com/mcp
  3. 在聊天中选择 Bls Labor MCP Server

    开启新聊天,输入前先从插件列表中选择 Bls Labor MCP Server

  4. 试一试

    用 Bls Labor MCP Server 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 Bls Labor MCP Server,或回答中出现 Bls Labor MCP Server 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 --scope user bls-labor https://bls-labor.caseyjhand.com/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 Bls Labor MCP Server 在列表中并显示已连接

  4. 试一试

    用 Bls Labor MCP Server 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 Bls Labor MCP Server,或回答中出现 Bls Labor MCP Server 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 Bls Labor MCP Server 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 Bls Labor MCP Server,或回答中出现 Bls Labor MCP Server 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 Bls Labor MCP Server 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 Bls Labor MCP Server,或回答中出现 Bls Labor MCP Server 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://bls-labor.caseyjhand.com/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Bls Labor MCP Server 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 --scope user bls-labor https://bls-labor.caseyjhand.com/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "bls-labor": {
      "url": "https://bls-labor.caseyjhand.com/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "bls-labor": {
      "type": "http",
      "url": "https://bls-labor.caseyjhand.com/mcp"
    }
  }
}

安装在电脑上

Claude Code

claude mcp add --scope user bls-labor --env BLS_API_KEY=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/bls-labor-mcp-server

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "bls-labor": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/bls-labor-mcp-server"
      ],
      "env": {
        "BLS_API_KEY": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "bls-labor": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/bls-labor-mcp-server"
      ],
      "env": {
        "BLS_API_KEY": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "bls-labor": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/bls-labor-mcp-server"
      ],
      "env": {
        "BLS_API_KEY": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

需要你填写的值

  • BLS_API_KEY env
    Optional — works without one (25 req/day). With key: 500 req/day + calculations and annual averages. Register free at bls.gov/developers.
  • MCP_LOG_LEVEL env
    Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').

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
297/周
许可证i
未注明许可证
连接方式
电脑或云端
传输方式
stdio, streamable-http
最新版本i
0.7.1
发布到注册中心i
2026年11月1日
代码最后更新i
2026年11月1日
作者
cyanheads
软件包
npm: @cyanheads/bls-labor-mcp-server
npm: @cyanheads/bls-labor-mcp-server
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

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

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11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。

  • bls_list_surveys

    List BLS survey programs with their abbreviation codes, full names, and metadata about calculation support and annual averages. Use to discover which survey covers a topic before calling bls_search_series; each row's searchCoverage says whether bls_search_series reaches the surve

  • bls_search_series

    Search the BLS series catalog by natural language query, survey code, geographic area, or keywords to resolve cryptic SeriesIDs. Returns matching series with decoded components (survey, area, item, seasonal flag, and publication frequency for surveys that publish one series at se

  • bls_get_latest

    Return the single most recent observation for BLS series. SeriesIDs are trimmed, uppercased, and deduplicated in first-occurrence order. Processes the first 50 unique IDs and returns the exact remainder as unprocessedSeriesIds for a separate request. Each processed series costs o

  • bls_get_series

    Fetch BLS time-series data in a single API request (one query). SeriesIDs are trimmed, uppercased, and deduplicated in first-occurrence order. Processes up to 25 unique IDs without a key or 50 with one; unprocessedSeriesIds names the exact remainder for a separate request. Suppor

  • bls_dataframe_describe

    List canvas dataframes materialized by bls_get_series or by bls_dataframe_query register_as, with provenance (source tool, query parameters), TTL, row count, and column schema. Use before writing SQL to confirm column names and types. Lazy-sweeps expired tables before responding.

  • bls_dataframe_query

    Run a single-statement SELECT against the canvas dataframes registered by bls_get_series or by an earlier register_as. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_maste

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12日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 cyanheads 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于11天前

  • ! 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 520 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 6 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

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用 Google 登录后写评价

与“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 1171 个服务器的 85%
  • 发布到注册中心的时间比此分类中其他 1171 个服务器的 78% 更新
  • 基础检查结果等于或优于此分类中其他 1171 个服务器的 53%

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

Bls Labor MCP Server 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?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于11天前,最新版本(0.7.1)于11天前进入注册中心。

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:Dbx, MCP Toolbox for Databases, MCP Toolbox for Databases

同类别的其他选择

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

Dbx

Query databases from AI agents using connections configured in DBX.

作者:t8y2广泛使用↓ 9446/周★ 3万6个月前更新

在你的电脑上运行

MCP Toolbox for Databases

MCP Toolbox for Databases enables your agent to connect to your database.

作者:googleapis广泛使用★ 1.7万6天前更新

在你的电脑上运行

MCP Toolbox for Databases

MCP Toolbox for Databases enables your agent to connect to your database.

作者:googleapis广泛使用★ 1.7万8个月前更新

在你的电脑上运行

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。

@cyanheads/bls-labor-mcp-server Fetch US Bureau of Labor Statistics data — CPI, unemployment, wages, JOLTS, and more via MCP. STDIO or Streamable HTTP. 6 Tools by default · 7 with opt-in drop

Public Hosted Server: https://bls-labor.caseyjhand.com/mcp


Overview

US labor statistics from the Bureau of Labor Statistics: jobs, unemployment, wages, and inflation. Find series in plain language instead of decoding SeriesIDs, pull full history or the latest value, and run SQL over large multi-series results.

Tools
ToolDescription
bls_list_surveysList BLS survey programs (CPI, CPS, CES, JOLTS, PPI, OEWS, …) with codes, descriptions, and calculation-support flags.
bls_search_seriesSearch the BLS series catalog by natural language, survey, area, or keywords to resolve cryptic SeriesIDs.
bls_get_seriesFetch time-series data for 1–50 BLS series by SeriesID, with optional year range and period-over-period calculations.
bls_get_latestReturn the single most recent observation for one or more BLS series.
bls_dataframe_describeList canvas dataframes registered by bls_get_series or bls_dataframe_query — provenance, TTL, row count, column schema. Unavailable when CANVAS_PROVIDER_TYPE=none.
bls_dataframe_queryRun a SELECT against canvas dataframes registered by bls_get_series or an earlier register_as. Supports JOINs, aggregates, window functions, CTEs. Unavailable when CANVAS_PROVIDER_TYPE=none.
bls_dataframe_dropDrop a canvas dataframe by name. Available when BLS_DATAFRAME_DROP_ENABLED=true, unless CANVAS_PROVIDER_TYPE=none; TTL handles cleanup by default.

Capability reference

bls_list_surveys tool
  • Optional category filters survey programs by subject; returns codes, names, and calculation-support flags (allowsNetChange, allowsPercentChange, hasAnnualAverages). Each row's searchCoverage (indexed, composed, or none) says whether bls_search_series reaches the survey, with seriesIndexed for indexed ones.
  • Backed by the BLS surveys API with 30-day process-local caching. Annual-average support is advisory; read bls_get_series's annualAverageRows for the rows actually returned.

bls_search_series tool
  • Search by text or SeriesID, with optional survey, area, and seasonal_adjustment; blank filters are omitted. area takes a USPS or 2-digit FIPS state code; a 3-, 4-, 5-, or 7-digit CSA, CPI area, county or CBSA, or state + place code; otherwise a substring of area, title, or SeriesID (all-digit values outside those lengths add a notice). limit defaults to 10 and requests above 50 clamp to 50 with notice, with offset pagination. Exact SeriesIDs rank first, then series matching every query word, with any place the query names in full ahead of the rest; at equal score, current series rank first, then national ones, then the JOLTS aggregate.
  • Returns decoded SeriesIDs, titles, frequency, and independently optional startYear, endYear, and endPeriod coverage (for example, 1982–2005 Q04). Coverage describes the catalog snapshot, not continuous observations. Follow nextOffset while truncated is true; capped: true makes totalCount a lower bound, and paging stops at the FTS candidate pool.
  • Searches the offline LABSTAT index without using API quota; OE/OEWS is opt-in through BLS_CATALOG_INCLUDE_OES. Under survey: "OE" without those rows, it composes OEWS SeriesIDs from the OE code tables, up to 50 per search; each is marked composed: true and is unconfirmed until bls_get_series returns data for it. Unindexed surveys remain fetchable by SeriesID.

bls_get_series tool
  • Fetch up to 25 SeriesIDs without an API key or 50 with one per call, with a start_year/end_year window of up to 20 years, optional calculations, and annual_average. A start alone resolves the end to the current year capped at start + 19; an end alone is rejected. One batch consumes one API query; calculations depend on survey support (CPI/PPI return percent change only).
  • Returns local-catalog titles when available and optional BLS measure metadata, and observations with available; preserves the raw - missing-value sentinel, and keeps valid series in mixed batches. Enrichment reports the applied year window, calculations actually returned, annual-summary rows, and any upstream reductions or advisories.
  • SeriesIDs are trimmed, uppercased, and deduplicated before the cap; unprocessedSeriesIds lists the exact ordered remainder without automatic extra batches. Omitted year bounds use BLS's three-calendar-year default, subject to coverage.
  • Large results spill to dataset.name. With CANVAS_PROVIDER_TYPE=none, all fetched observations return inline.

bls_get_latest tool
  • Fetch the latest observation for up to 50 SeriesIDs (recommended ≤10). IDs are trimmed, uppercased, and deduplicated before the cap; unprocessedSeriesIds lists the exact ordered remainder. Each processed ID consumes one API query; use bls_get_series for a more efficient multi-series batch.
  • Returns successful results[] beside per-series failed[] entries. latestObservation.available distinguishes a published value from BLS's missing-value sentinel.

bls_dataframe_describe tool
  • Optional name describes one registered dataframe; omit it to list active dataframes for the tenant. Unavailable when CANVAS_PROVIDER_TYPE=none.
  • Returns source tool, query params, row count, TTL (created_at/expires_at, fixed at table creation), and column_schema; BLS columns are nullable. Registered-query types outside the canvas set (DECIMAL, HUGEINT, SMALLINT, lists) report as VARCHAR. Expired entries are removed when their canvas drop succeeds.

bls_dataframe_query tool
  • Run one SELECT against registered tables, with JOINs, aggregates, window functions, or CTEs. row_limit defaults to 1000; larger values clamp to 10000, and preview clamps to the applied row limit with requested/applied notices. Zero preview remains valid; writes, external-file reads, and system catalogs are denied.
  • Engine-setting functions (current_setting, current_schema, current_schemas, in_search_path) and query_table are denied. Unqualified current_schema keyword or column references are also denied; qualify a real column with its table alias (for example, t.current_schema). query() accepts one plain SQL string literal, checked recursively up to four levels; computed SQL strings are rejected. Reference staged tables directly for analysis.
  • Returns rows without consuming BLS API quota. Optional register_as stages the result with a fresh TTL for chained analysis. Unavailable when CANVAS_PROVIDER_TYPE=none.

bls_dataframe_drop tool
  • Required name identifies the dataframe to drop. Available only with BLS_DATAFRAME_DROP_ENABLED=true, and never with CANVAS_PROVIDER_TYPE=none; TTL handles cleanup by default.
  • Returns dropped: false for a missing table. A failed drop returns retryable canvas_drop_failed and leaves the dataframe registered.

Features

Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.

BLS-specific:

  • BLS API v2 client with retry/backoff and daily quota tracking
  • Offline series catalog search against LABSTAT flat files, indexed as an on-disk SQLite/FTS5 store — zero API quota for discovery; the OES/OEWS wage survey (~6M series) is opt-in via BLS_CATALOG_INCLUDE_OES
  • Typed error contracts for BLS-specific failure modes — quota exhaustion, locked database, calculations not supported
  • Period-over-period net/percent-change calculations via BLS's own server-side flag, consistent with BLS's published numbers
  • DataCanvas spillover (DuckDB, on by default) for large multi-series result sets — schema discovery and SQL access without re-querying the API

Agent-friendly output:

  • Provenance — canvas-spilled results carry a dataset.name handle plus row count and expiry; bls_search_series echoes effectiveQuery, catalogSize, and whether the FTS candidate pool was capped
  • Graceful partial failure — bls_get_latest returns per-item failed[] (seriesId + error) alongside successful results[] instead of failing the whole batch; bls_get_series keeps valid series when another SeriesID in the same batch is invalid or empty
  • Discriminated outputs — every observation carries an available boolean for BLS's - missing-value sentinel, so callers branch on a typed field instead of parsing raw values
  • Actionable notices — enrichment.notice explains empty results, canvas spillover, and unavailable data with concrete next steps (e.g. using bls_search_series to verify a SeriesID)

Getting started

Public Hosted Instance

A public instance is available at https://bls-labor.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP:

{

"mcpServers": { "bls-labor-mcp-server": { "type": "streamable-http", "url": "https://bls-labor.caseyjhand.com/mcp" } } }

Self-Hosted / Local

Add the following to your MCP client configuration file. A free BLS API key unlocks 500 queries/day — register at bls.gov/developers. The server works without a key at 25 req/day.

{

"mcpServers": { "bls-labor-mcp-server": { "type": "stdio", "command":

只显示了开头部分;其余内容请在仓库中阅读