openfigi-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@openfigi-mcpresolve ISIN US0378331005"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
OpenFIGI
A modern, type-safe TypeScript SDK and MCP server for the OpenFIGI API - the free and open standard for financial instrument identification.
Community Project Disclaimer This is an unofficial, community-maintained project for OpenFIGI. It is not affiliated with or endorsed by OpenFIGI or Bloomberg. For official support, please refer to the OpenFIGI official documentation.
Packages
This monorepo contains two packages:
Package | Version | Description |
TypeScript SDK for the OpenFIGI API | ||
MCP server for Claude and AI assistants |
Related MCP server: gangtise-mcp
openfigi-sdk
Type-safe TypeScript SDK with full API coverage.
npm install openfigi-sdkimport { searchByISIN, searchByTicker, createClient } from 'openfigi-sdk'
// Search by ISIN
const response = await searchByISIN('US0378331005')
// Search by ticker
await searchByTicker('AAPL', 'US', { securityType2: 'Common Stock' })
// With API key for higher rate limits
const client = createClient({ apiKey: 'your-api-key' })
await client.searchByISIN('US0378331005')openfigi-mcp
MCP (Model Context Protocol) server for using OpenFIGI with Claude and other AI assistants.
npm install openfigi-mcpAdd to Claude Desktop config:
{
"mcpServers": {
"openfigi": {
"command": "npx",
"args": ["openfigi-mcp@latest"],
"env": {
"OPENFIGI_API_KEY": "your-api-key-here"
}
}
}
}Features:
Auto-detection: Parse CSV/text and detect identifier types (ISIN, CUSIP, SEDOL, Bloomberg ID, Ticker)
Batch operations: Process up to 100 identifiers at once
Ticker + Exchange: Supports formats like
AAPL US,ABLI SS,VOD LN
Using with Vercel AI SDK
npm install ai @ai-sdk/mcp @ai-sdk/anthropic @modelcontextprotocol/sdkimport { createMCPClient } from '@ai-sdk/mcp'
import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js'
import { generateText } from 'ai'
import { anthropic } from '@ai-sdk/anthropic'
const mcpClient = await createMCPClient({
transport: new StdioClientTransport({
command: 'npx',
args: ['openfigi-mcp'],
env: { OPENFIGI_API_KEY: process.env.OPENFIGI_API_KEY }
}),
})
const tools = await mcpClient.tools()
const { text } = await generateText({
model: anthropic('claude-sonnet-4-20250514'),
tools,
maxSteps: 5,
prompt: 'Find the FIGI for Apple Inc using ISIN US0378331005',
})
await mcpClient.close()Note: For AI SDK 5.x, use
experimental_createMCPClientfrom'ai'instead ofcreateMCPClientfrom'@ai-sdk/mcp'.
Development
# Install dependencies
bun install
# Build all packages
bun run build
# Run all tests
bun run test
# Type check
bun run typecheck
# Lint
bun run lintContributing
Contributions are welcome! Please feel free to submit a Pull Request.
Development Workflow
Fork the repository
Create your feature branch (
git checkout -b feature/AmazingFeature)Make your changes and add tests
Add a changeset:
bun run changesetCommit and push
Open a Pull Request
Release Process
This project uses Changesets for version management. When PRs with changesets are merged, a release PR is automatically created. Merging the release PR publishes to npm.
License
MIT - see LICENSE
Links
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Maintenance
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