FDA API MCP Service
Enables searching FDA food recalls and adverse event reports through natural language, supporting filters and pagination.
README
FDA API MCP Service
A Model Context Protocol (MCP) service that provides access to the FDA API, supporting both Food Enforcement and Food Event databases.
Features
Food Enforcement API
- Search food recalls, market withdrawals, and safety alerts
- Filter by product type, description, and status
- Search by date ranges (recall initiation, report date, etc.)
- Location-based filtering (city, state, country)
- Wildcard matching in search terms
Food Event API
- Search adverse event reports
- Filter by consumer information (age, gender)
- Search by date ranges (created, started)
- Filter by outcomes (e.g., hospitalization)
- Product-based filtering (brand name, industry code)
- Reaction-based filtering
- Wildcard matching in search terms
Common Features
- Pagination support
- Sorting capabilities
- Comprehensive error handling
- Integration test suite
- Logging and monitoring
Prerequisites
- Node.js (v18 or higher)
- npm
- FDA API Key (get one from FDA API Portal)
Setup
- Clone the repository:
git clone <repository-url>
cd mcp-fda
- Install dependencies:
npm install
- Create a
.envfile in the root directory:
FDA_API_KEY=your_api_key_here
- Build the project:
npm run build
Development
The project uses TypeScript and follows a clean architecture pattern:
src/controllers/- MCP server controllersrc/services/- Business logic and API integrationfda.service.ts- Base FDA API integrationfood-enforcement.service.ts- Food Enforcement API integrationfood-event.service.ts- Food Event API integration
src/schemas/- Type definitions and validation schemasfood-enforcement.schema.ts- Food Enforcement API schemasfood-event.schema.ts- Food Event API schemas
src/tools/- MCP tool implementationsfda.tool.ts- Base FDA tool implementationfood-enforcement.tool.ts- Food Enforcement toolfood-event.tool.ts- Food Event tool
src/mappers/- Data transformation utilitiessrc/utils/- Helper functions and logging
Available Scripts
npm run build- Compile TypeScript to JavaScriptnpm run test- Run integration testsnpm run lint- Run ESLintnpm run format- Format code with Prettier
Testing
The project includes an integration test suite that verifies both Food Enforcement and Food Event API functionality. Tests are located in tests/integration/.
To run the tests:
npm test
The test suite:
- Starts a local MCP server
- Connects a test client
- Runs test cases against both FDA APIs
- Verifies response formats and error handling
- Cleans up resources after completion
Usage
As an MCP Service
To expose this service to Claude, add the following to your Claude configuration:
{
"mcpServers": {
"fda-server": {
"command": "node",
"args": ["path/to/dist/index.js"],
"env": {
"FDA_API_KEY": "your_api_key_here",
"LOG_PATH": "path/to/logs/app.log"
}
}
}
}
Search Parameters
Food Enforcement Search Parameters
product_type- Type of product (e.g., "Food")product_description- Description of the product (supports wildcards)recall_initiation_date_start- Start date for recall rangerecall_initiation_date_end- End date for recall rangecity- City where the recall was initiatedstate- State where the recall was initiatedrecalling_firm- Name of the recalling firmstatus- Recall status (e.g., "Ongoing")limit- Number of results to return (default: 10)skip- Number of results to skip (for pagination)sort_field- Field to sort bysort_direction- Sort direction ("asc" or "desc")
Example Food Enforcement search:
{
product_type: "Food",
city: "Omaha",
status: "Ongoing",
limit: 10
}
Food Event Search Parameters
date_created_start- Start date for report creation rangedate_created_end- End date for report creation rangedate_started_start- Start date for event start rangedate_started_end- End date for event start rangeoutcomes- Array of outcomes (e.g., ["HOSPITALIZATION"])products.name_brand- Product brand name (supports wildcards)products.industry_code- FDA industry codereactions- Array of reactions (e.g., ["nausea", "vomiting"])limit- Number of results to return (default: 10)skip- Number of results to skip (for pagination)sort_field- Field to sort bysort_direction- Sort direction ("asc" or "desc")
Example Food Event search:
{
date_created_start: "2024-01-01",
date_created_end: "2024-12-31",
outcomes: ["HOSPITALIZATION"],
limit: 10
}
Error Handling
The service provides structured error responses for:
- Invalid API keys
- Network failures
- Invalid search parameters
- FDA API errors
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Run tests and linting
- Submit a pull request
Future Plans
- Add support for other FDA API endpoints
- Implement caching for frequently accessed data
- Add more comprehensive error handling
- Support for batch operations
- Additional search parameters and filters
- Rate limiting and throttling
- Enhanced logging and monitoring
License
MIT License
Copyright (c) 2024 [Your Name]
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.