Openfda MCP Server

Name: Openfda MCP Server
Author: cyanheads

作者：cyanheads版本 0.9.1i★ –i电脑或云端

注册名称io.github.cyanheads/openfda-mcp-server

安装

概览

作者提供的说明（英文原文）

Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

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: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
可以做 14 件事（工具） openfda_search_adverse_events, openfda_search_animal_events, openfda_search_drug_shortages, openfda_search_recalls …
需要你自己填写： OPENFDA_API_KEY, CANVAS_PROVIDER_TYPE, OPENFDA_DATAFRAME_DROP_ENABLED, OPENFDA_MIRROR_ENABLED, OPENFDA_MIRROR_PATH, OPENFDA_MIRROR_REFRESH_CRON, OPENFDA_MIRROR_FALLBACK_LIVE, OPENFDA_MIRROR_REFRESH_TIMEOUT_MS, OPENFDA_MIRROR_BASE_URL, MCP_LOG_LEVEL

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://openfda.caseyjhand.com/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "openfda": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/openfda-mcp-server"
      ],
      "env": {
        "OPENFDA_API_KEY": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "OPENFDA_DATAFRAME_DROP_ENABLED": "your-value",
        "OPENFDA_MIRROR_ENABLED": "your-value",
        "OPENFDA_MIRROR_PATH": "your-value",
        "OPENFDA_MIRROR_REFRESH_CRON": "your-value",
        "OPENFDA_MIRROR_FALLBACK_LIVE": "your-value",
        "OPENFDA_MIRROR_REFRESH_TIMEOUT_MS": "your-value",
        "OPENFDA_MIRROR_BASE_URL": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http openfda https://openfda.caseyjhand.com/mcp

或者在你的电脑上运行

claude mcp add openfda --env OPENFDA_API_KEY=your-value --env CANVAS_PROVIDER_TYPE=your-value --env OPENFDA_DATAFRAME_DROP_ENABLED=your-value --env OPENFDA_MIRROR_ENABLED=your-value --env OPENFDA_MIRROR_PATH=your-value --env OPENFDA_MIRROR_REFRESH_CRON=your-value --env OPENFDA_MIRROR_FALLBACK_LIVE=your-value --env OPENFDA_MIRROR_REFRESH_TIMEOUT_MS=your-value --env OPENFDA_MIRROR_BASE_URL=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/openfda-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "openfda": {
      "url": "https://openfda.caseyjhand.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "openfda": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/openfda-mcp-server"
      ],
      "env": {
        "OPENFDA_API_KEY": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "OPENFDA_DATAFRAME_DROP_ENABLED": "your-value",
        "OPENFDA_MIRROR_ENABLED": "your-value",
        "OPENFDA_MIRROR_PATH": "your-value",
        "OPENFDA_MIRROR_REFRESH_CRON": "your-value",
        "OPENFDA_MIRROR_FALLBACK_LIVE": "your-value",
        "OPENFDA_MIRROR_REFRESH_TIMEOUT_MS": "your-value",
        "OPENFDA_MIRROR_BASE_URL": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "openfda": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/openfda-mcp-server"
      ],
      "env": {
        "OPENFDA_API_KEY": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "OPENFDA_DATAFRAME_DROP_ENABLED": "your-value",
        "OPENFDA_MIRROR_ENABLED": "your-value",
        "OPENFDA_MIRROR_PATH": "your-value",
        "OPENFDA_MIRROR_REFRESH_CRON": "your-value",
        "OPENFDA_MIRROR_FALLBACK_LIVE": "your-value",
        "OPENFDA_MIRROR_REFRESH_TIMEOUT_MS": "your-value",
        "OPENFDA_MIRROR_BASE_URL": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://openfda.caseyjhand.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

OPENFDA_API_KEY env
Free API key from open.fda.gov — increases daily limit from 1K to 120K requests.
CANVAS_PROVIDER_TYPE env
DataCanvas staging, on by default: stage=true or a canvas_id on an openfda_search_* tool or openfda_lookup_ndc stages the matched records as a SQL table for the openfda_dataframe_* tools. The DuckDB…
OPENFDA_DATAFRAME_DROP_ENABLED env
Enable openfda_dataframe_drop, which deletes a table staged on a DataCanvas. Off by default; applies only when DataCanvas is enabled (CANVAS_PROVIDER_TYPE=duckdb).
OPENFDA_MIRROR_ENABLED env
Serve exact-key lookups for drug/label, drug/ndc, drug/enforcement, and drug/drugsfda from a local bulk mirror instead of the API. Off by default; the initial harvest runs out-of-band via the mirror:…
OPENFDA_MIRROR_PATH env
Directory holding one SQLite file per mirrored dataset.
OPENFDA_MIRROR_REFRESH_CRON env
Cron expression for the in-process mirror refresh. HTTP transport only; stdio operators run mirror:refresh from the host. Requires the optional node-cron peer dependency.
OPENFDA_MIRROR_FALLBACK_LIVE env
Fall back to the live API when the mirror is cold, missing the record, or failing. Disable to fail loudly instead.
OPENFDA_MIRROR_REFRESH_TIMEOUT_MS env
Wall-clock budget for one scheduled refresh before it is aborted. Raise it for drug/label, the only multi-partition dataset.
OPENFDA_MIRROR_BASE_URL env
Host serving the openFDA bulk download manifest. Override only to harvest from a private mirror of the dumps.
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。

它能做什么

工具名称和描述与服务器在 2026年11月7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。

openfda_search_adverse_events
Search adverse event reports across drugs, food, and devices. Use to investigate safety signals, find reports for a specific product, or explore reactions by demographics. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQ
openfda_search_animal_events
Search adverse event reports for veterinary drugs and devices submitted to the FDA Center for Veterinary Medicine. Records include animal species, breed, age, weight, drug name and route, adverse reactions (using VeDDRA terminology), and outcome. Use to investigate safety signals
openfda_search_drug_shortages
Search FDA drug shortage records. Returns per-product shortage status, availability, therapeutic category, dosage form, manufacturer, and dates. Use to check whether a drug is currently in shortage, find all oncology drugs with supply issues, or retrieve the openfda block (brand_
openfda_search_recalls
Search enforcement reports and recall actions across drugs, food, and devices. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.
openfda_search_tobacco_reports
Search problem reports submitted to the FDA for tobacco products, including e-cigarettes, vaping products, cigarettes, and smokeless tobacco. Reports capture product type, reported health problems (e.g. seizure, chest pain), product problems (e.g. exploding battery), whether a no
openfda_count_values
Aggregate and tally unique values for any field across any openFDA endpoint. Returns ranked term-count pairs sorted by count descending; a date field tallies one term per distinct YYYYMMDD date, ranked the same way. Pair with openfda_search_adverse_events, openfda_search_drug_app
openfda_describe_fields
Return the searchable field paths for an openFDA endpoint, grouped by category with type and description. Use before constructing a search query to find the correct dotted field path — field names differ per endpoint and are not discoverable from the tool schema alone.
openfda_get_drug_label
Look up FDA drug labeling (package inserts / SPL documents). Check indications, warnings, dosage, contraindications, active ingredients, or any structured label section. A label runs to tens of thousands of tokens, so a page that exceeds the inline budget returns the list of avai
openfda_search_drug_approvals
Search the Drugs@FDA database for drug application approvals (NDAs and ANDAs). Returns application details, sponsor info, and full submission history. Pair with openfda_get_drug_label to read the approved label, or openfda_count_values to aggregate by sponsor_name, product_type,
openfda_search_device_clearances
Search FDA device premarket notifications — 510(k) clearances and PMA approvals. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.
openfda_lookup_ndc
Look up drugs in the NDC (National Drug Code) Directory. Identify drug products by NDC code, find active ingredients, packaging details, or manufacturer info. Pair with openfda_get_drug_label using the returned brand_name or set_id to read the package insert. With stage=true, cal
openfda_drug_profile
Resolve one drug name to its FDA identity, then fan out in parallel across the bounded per-drug openFDA endpoints and merge into one profile: identity, label highlights, adverse-event summary, recall history, Drugs@FDA approval, and shortage status. Replaces chaining openfda_get_
openfda_dataframe_describe
List the tables and column schemas on a DataCanvas staged by an openFDA search tool. Call before openfda_dataframe_query to discover the exact table name, column names, and DuckDB types needed for valid SQL. row_count is the full staged result set, not the inline preview count. C
openfda_dataframe_query
Run a read-only SQL SELECT against a DataCanvas table staged by an openFDA search tool (call one with stage=true; its response carries canvas_id + canvas_table). Enables GROUP BY, COUNT/SUM/AVG, time-series, and joins across the staged result set without re-paging the API. Call o

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7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
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 443 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 14 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32700 个服务器的 0%
发布到注册中心的时间比此分类中其他 32700 个服务器的 75% 更新
基础检查结果等于或优于此分类中其他 32700 个服务器的 100%

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

Openfda MCP Server 安全吗？

它在 3 项适用的基础检查中通过了 3 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–，最新版本（0.9.1）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，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Agent Data Tools: Utilities

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：★ 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

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新

安装

Agent Data Tools: Utilities

作者：Nutshell2000

103 tools: JSON repair, CSV, hashes, cron, dates, units, validators. 25 free calls.

在云端运行今天更新

安装

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/openfda-mcp-server Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP. 15 Tools

Public Hosted Server: https://openfda.caseyjhand.com/mcp

Overview

FDA data on drugs, food, devices, and recalls from the openFDA public API. Search adverse events, recalls, drug approvals, and device clearances; look up NDC codes and drug labels; aggregate field counts across any endpoint.

Tools

Tool	Description
`openfda_drug_profile`	One drug name → consolidated FDA profile: identity, label, adverse events, recalls, approval, shortage
`openfda_search_adverse_events`	Search adverse event reports across drugs, food, and devices
`openfda_search_animal_events`	Search adverse event reports for veterinary drugs and devices
`openfda_search_drug_shortages`	Search FDA drug shortage records by status, availability, therapeutic category, manufacturer
`openfda_search_tobacco_reports`	Search problem reports for tobacco products, e-cigarettes, and vaping devices
`openfda_search_recalls`	Search enforcement reports and recall actions across drugs, food, and devices
`openfda_count_values`	Aggregate and tally unique values for any field across any openFDA endpoint
`openfda_describe_fields`	Return searchable field paths for an openFDA endpoint, grouped by category
`openfda_get_drug_label`	Look up FDA drug labeling (package inserts / SPL documents)
`openfda_search_drug_approvals`	Search the Drugs@FDA database for NDA/ANDA application approvals
`openfda_search_device_clearances`	Search FDA device premarket notifications: 510(k) clearances and PMA approvals
`openfda_lookup_ndc`	Look up drugs in the NDC (National Drug Code) Directory
`openfda_dataframe_describe`	List tables and column schemas staged on a DataCanvas
`openfda_dataframe_query`	Run read-only SQL over a result set staged on a DataCanvas
`openfda_dataframe_drop`	Delete one table staged on a DataCanvas (opt-in, off by default)

Capability reference

`openfda_drug_profile` tool

One drug name, brand or generic, resolved once to an identity (generic name, NDC, RxCUI, SPL set ID); recalls, approval, and shortage key on meta.fanOutKey — the typed name when it is an ingredient of the resolved generic, else that generic; meta.resolvedVia (label, ndc, none) names the source, and a single-ingredient product is preferred over combinations
Recalls and approval also search records openFDA never harmonized (product_description, products.active_ingredients.name); recalls_total gives the match count beside the newest 5 recalls
Sections label, adverse_events, recalls, approval, and shortage are best-effort and come back null (or an empty recalls) on a miss; degraded[] names each section whose sub-query failed upstream, so a listed section is unknown rather than absent
Auth, configuration, and cancellation failures fail the whole call instead of degrading a section

`openfda_search_adverse_events` tool

category (drug, food, device) selects the endpoint and its record schema; up to 1000 records per page
Sortable date fields differ by category: receivedate (drug), date_created (food), date_received (device); another category's field fails as query_error
Text output decodes drug administration route, reaction outcome, and patient age group codes beside the raw value (via oral (048), fatal (5), elderly (6)); structured output keeps the codes

`openfda_search_animal_events` tool

Optional search over veterinary reports, e.g. animal.species, drug.active_ingredients.name, reaction.veddra_term_name, serious_ae; up to 1000 records per page
Brand and manufacturer names are masked as MSK on every record, so search by active ingredient; drug.manufacturer.registration_number narrows to one approval
Records carry animal species, breed, age, and weight, the drug and route, VeDDRA reaction terms, and outcome

`openfda_search_drug_shortages` tool

Optional search over status (Current / To Be Discontinued / Resolved), therapeutic_category, generic_name, or company_name; up to 1000 records per page
Each record's openfda block carries brand_name, product_ndc, and rxcui for chaining into openfda_get_drug_label or openfda_lookup_ndc

`openfda_search_tobacco_reports` tool

Optional search over tobacco_products, reported_health_problems, reported_product_problems, or nonuser_affected; up to 1000 records per page
Reports carry the problem arrays plus number_tobacco_products, number_health_problems, and number_product_problems counts

`openfda_search_recalls` tool

category (drug, food, device) plus endpoint: enforcement (default, every category) or recall (devices only; other categories fail as recall_endpoint_non_device); up to 1000 records per page
Enforcement records carry recall_number, classification (Class I/II/III), and status; device recall records carry product_res_number and recall_status instead, with no hazard classification

`openfda_count_values` tool

endpoint (any of the 20 openFDA endpoints), a count field expression, and an optional search; returns up to 1000 top terms (default 100), ranked by count; a date field returns one term per distinct YYYYMMDD date, ranked the same way
truncated flags more distinct terms past limit, except at the 1000-term maximum, where a notice says completeness can't be known (a date count is exact at any limit, since openFDA sends every date); an expression openFDA can't aggregate fails as not_aggregatable (take the countAs form from openfda_describe_fields)
Always runs against the live API, even with the bulk mirror enabled

`openfda_describe_fields` tool

endpoint: the same 20 endpoints openfda_count_values accepts
Field paths grouped by category, each with type, a description, and countAs (the verified count expression, or null when the field can't be aggregated), plus queryTips on quoting, AND/OR, .exact, and date ranges

`openfda_get_drug_label` tool

Required search on label fields (openfda.brand_name, openfda.generic_name, openfda.manufacturer_name, set_id); limit defaults to 5, max 1000
A page over the 24,000-byte inline budget returns kind: "outline" (section names and sizes, largest first) instead of label text; re-call with sections: [...] to get those sections plus identity metadata (openfda, set_id, id, effective_time, version), returned whole even when over budget
*_table sections render as Markdown tables in the text output; structured results keep the raw SPL markup

`openfda_search_drug_approvals` tool

Optional search over openfda.brand_name, sponsor_name (stored uppercase, so a lowercase quoted value matches nothing), submissions.submission_type, or submissions.review_priority; up to 1000 records per page
Records carry application_number, sponsor_name, products[], and the application's full submissions[] history

`openfda_search_device_clearances` tool

pathway (510k or pma, one per call) plus an optional search over applicant, product_code, advisory_committee_description, or openfda.device_name; up to 1000 records per page
510(k) records carry k_number, device_name, and decision_date; PMA records carry pma_number, trade_name, and supplement_number

`openfda_lookup_ndc` tool

Required search over product_ndc, brand_name, generic_name, openfda.manufacturer_name, or active_ingredients.name; up to 1000 records per page
Records carry product_ndc, labeler_name, dosage_form, route, marketing_category, active_ingredients[], and packaging[]

`openfda_dataframe_describe` tool

canvas_id from a staged search; lists each table's name, kind, full staged row_count, and columns with DuckDB type and nullability
Fails as canvas_disabled when CANVAS_PROVIDER_TYPE=none, or canvas_not_found when the canvas_id has expired or never existed

`openfda_dataframe_query` tool

canvas_id plus one read-only SELECT; DDL, DML, COPY, and file-reading functions are rejected. Scalars are stored as text (CAST for math) and nested openFDA blocks as JSON columns
Rows are capped at the canvas row limit, and truncated: true means page on with ORDER BY plus LIMIT/OFFSET; failures are canvas_disabled, canvas_not_found, missing_table, or invalid_query

`openfda_dataframe_drop` tool

Off by default: set OPENFDA_DATAFRAME_DROP_ENABLED=true to make it callable; otherwise it is listed as disabled on the landing page and absent from tools/list
canvas_id plus the table name from openfda_dataframe_describe; deletes that one table or view and returns remaining_tables, leaving the canvas and its other tables in place
Failures are canvas_disabled, canvas_not_found, or missing_table (already dropped, expired, or mistyped)

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.

openFDA-specific:

One client for all 20 openFDA endpoints, with retry on 429 and 5xx. No API key is needed (1K requests/day); a

只显示了开头部分；其余内容请在仓库中阅读

Openfda MCP Server

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“其他”中的其他服务器比较i

常见问题

替代选择

Spec Driven Development

Remote Desktop Commander

Agent Data Tools: Utilities

作者的 README

Overview

Tools

Capability reference

openfda_drug_profile tool

openfda_search_adverse_events tool

openfda_search_animal_events tool

openfda_search_drug_shortages tool

openfda_search_tobacco_reports tool

openfda_search_recalls tool

openfda_count_values tool

openfda_describe_fields tool

openfda_get_drug_label tool

openfda_search_drug_approvals tool

openfda_search_device_clearances tool

openfda_lookup_ndc tool

openfda_dataframe_describe tool

openfda_dataframe_query tool

openfda_dataframe_drop tool

Features

`openfda_drug_profile` tool

`openfda_search_adverse_events` tool

`openfda_search_animal_events` tool

`openfda_search_drug_shortages` tool

`openfda_search_tobacco_reports` tool

`openfda_search_recalls` tool

`openfda_count_values` tool

`openfda_describe_fields` tool

`openfda_get_drug_label` tool

`openfda_search_drug_approvals` tool

`openfda_search_device_clearances` tool

`openfda_lookup_ndc` tool

`openfda_dataframe_describe` tool

`openfda_dataframe_query` tool

`openfda_dataframe_drop` tool