MCP server

Openfda

io.github.cyanheads/openfda-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

14

Token cost

About 13,583 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.openfda-mcp-server]
url = "https://openfda.caseyjhand.com/mcp"

Gemini CLI

{"mcpServers":{"openfda-mcp-server":{"httpUrl":"https://openfda.caseyjhand.com/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add openfda-mcp-server https://openfda.caseyjhand.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"openfda-mcp-server","server_url":"https://openfda.caseyjhand.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"openfda-mcp-server","server_url":"https://openfda.caseyjhand.com/mcp"}

Tools

• openfda_count_values ~626 tokens
  Aggregate and tally unique values for any field across any openFDA endpoint. Returns ranked term-count pairs sorted by count descending. Pair with openfda_search_adverse_events, openfda_search_drug_approvals, openfda_search_device_clearances, openfda_search_recalls, openfda_get_drug_label, or openfd
• openfda_dataframe_describe ~235 tokens
  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. Columns typed JSON ho
• openfda_dataframe_query ~420 tokens
  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 openfda_dataframe_des
• openfda_describe_fields ~291 tokens
  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_drug_profile ~309 tokens
  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_drug_label, openfda_
• openfda_get_drug_label ~912 tokens
  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 available sections inste
• openfda_lookup_ndc ~1307 tokens
  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, call openfda_dataframe_
• openfda_search_adverse_events ~1386 tokens
  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 SQL.
• openfda_search_animal_events ~1430 tokens
  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 for veterinary prod
• openfda_search_device_clearances ~1296 tokens
  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_search_drug_approvals ~1379 tokens
  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, or route. With stage
• openfda_search_drug_shortages ~1322 tokens
  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_name, product_ndc, r
• openfda_search_recalls ~1355 tokens
  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 ~1315 tokens
  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 non-user was affected,

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