infobel-api-mcp
OfficialClick 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., "@infobel-api-mcpsearch for bakeries in London, UK"
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.
infobel-api-mcp
Python client and MCP server for the Infobel GetData API.
Installation
From PyPI:
pip install infobel-api-mcpFor local development:
pip install -e .Requires Python 3.10+.
Quick start — configure your agent
After installing, run one command to wire infobel-mcp into your agent host:
# User-global config (prompts for credentials)
infobel-mcp add claude # writes ~/.claude.json
infobel-mcp add codex # writes ~/.codex/config.toml
infobel-mcp add gemini # writes ~/.gemini/settings.json (uses env var placeholders)
# Project-local config (cwd)
infobel-mcp add claude --local
infobel-mcp add codex --local
infobel-mcp add gemini --local
# Project-local config at a specific path
infobel-mcp add claude --local /path/to/project
# Skip the interactive prompts
infobel-mcp add claude --username myuser --password mypass
# Write ${INFOBEL_USERNAME}/${INFOBEL_PASSWORD} placeholders instead of literal creds
infobel-mcp add claude --use-env-varsAfter running the command, set your credentials as environment variables:
export INFOBEL_USERNAME="your-username"
export INFOBEL_PASSWORD="your-password"Configuration
Set your credentials as environment variables:
export INFOBEL_USERNAME="your-username"
export INFOBEL_PASSWORD="your-password"Or pass them directly when creating a client:
from infobel_api import InfobelClient
client = InfobelClient(username="your-username", password="your-password")Python client
Basic search
from infobel_api import InfobelClient
with InfobelClient() as client:
result = client.search.search(country_codes="GB", business_name="Acme")
print(result["counts"]["total"]) # total matching businesses
print(result["firstPageRecords"]) # [] by defaultreturn_first_page defaults to False, so search() returns counts and a searchId without embedding records unless you explicitly opt in.
Get specific fields (recommended for large result sets)
with InfobelClient() as client:
# Start a search
result = client.search.search(
country_codes="US",
business_name="Tesla",
)
search_id = result["searchId"]
# Fetch page 1 with only the fields you need
page = client.search.post_records(
search_id,
page=1,
fields=["uniqueID", "businessName", "phone", "email", "city"],
)
for record in page["records"]:
print(record)
# Fetch page 2
page2 = client.search.post_records(search_id, page=2, fields=["uniqueID", "businessName"])Fetch a full record by unique ID
with InfobelClient() as client:
record = client.record.get(country_code="US", unique_id="0226550061")
print(record["businessName"], record["phone"])Other filters
with InfobelClient() as client:
# By national ID
result = client.search.search(country_codes="BE", national_id="0123456789")
# Businesses with email in a city
result = client.search.search(
country_codes="FR",
city_names="Paris",
has_email=True,
)
# Filter by employee count
result = client.search.search(
country_codes="DE",
employees_total_from=50,
employees_total_to=200,
)MCP server
The package ships an MCP server that exposes the Infobel API as tools for AI agents (Claude, etc.).
Quick install for Claude Code
After installing the package, register the MCP server with:
infobel-mcp add claudeThis automatically uses the Python executable that has the package installed, regardless of whether you are in a venv, conda environment, or using the system Python.
Configure Claude Code manually
As of March 18, 2026, Claude Code stores MCP servers in:
User scope:
~/.claude.jsonProject scope:
/path/to/project/.mcp.json
On Windows, ~/.claude.json maps to your home directory, typically %USERPROFILE%\\.claude.json.
Add this to either file:
{
"mcpServers": {
"infobel": {
"type": "stdio",
"command": "/path/to/your/python",
"args": ["-m", "infobel_api.mcp_server"],
"env": {
"INFOBEL_USERNAME": "your-username",
"INFOBEL_PASSWORD": "your-password"
}
}
}
}Replace /path/to/your/python with the Python executable that has infobel-api-mcp installed. To find it, run this inside the environment where the package is installed:
python -c "import sys; print(sys.executable)"For a venv the path typically looks like /path/to/project/venv/bin/python. For conda it looks like /opt/conda/envs/myenv/bin/python. The infobel-mcp add claude command above handles this automatically.
Configure Gemini CLI manually
Gemini CLI stores MCP servers in:
User scope:
~/.gemini/settings.jsonProject scope:
/path/to/project/.gemini/settings.json
On Windows, ~/.gemini/settings.json maps to your home directory, typically %USERPROFILE%\\.gemini\\settings.json.
Add this to the settings.json file:
{
"mcpServers": {
"infobel": {
"command": "/path/to/your/python",
"args": ["-m", "infobel_api.mcp_server"],
"env": {
"INFOBEL_USERNAME": "${INFOBEL_USERNAME}",
"INFOBEL_PASSWORD": "${INFOBEL_PASSWORD}"
}
}
}
}Replace /path/to/your/python with the Python executable that has infobel-api-mcp installed (see the note in the Claude Code section above). If your settings.json already contains other top-level keys, merge the mcpServers block into the existing file instead of replacing it.
Configure Codex manually
Codex stores MCP servers in:
User scope:
~/.codex/config.tomlProject scope:
/path/to/project/.codex/config.toml
On Windows, ~/.codex/config.toml maps to your home directory, typically %USERPROFILE%\\.codex\\config.toml.
Add this to config.toml:
[mcp_servers.infobel]
command = "/path/to/your/python"
args = ["-m", "infobel_api.mcp_server"]
[mcp_servers.infobel.env]
INFOBEL_USERNAME = "your-username"
INFOBEL_PASSWORD = "your-password"Replace /path/to/your/python with the Python executable that has infobel-api-mcp installed (see the note in the Claude Code section above). Codex CLI and the Codex IDE extension share the same MCP configuration.
Available tools
Tool | Description |
| Search by name, location, category, and more |
| Fetch additional pages from a previous search |
| Get a full business record by unique ID |
| Get a lightweight record by unique ID |
| Browse Infobel category tree |
| Browse ISIC categories |
| Browse local/national categories |
| List cities for a country |
| List regions for a country |
| List provinces for a country |
| List all available countries |
| List available display languages |
| Verify API connectivity |
Example MCP interaction
Once configured, you can ask Claude things like:
"Find all Italian restaurants in Brussels with a phone number."
Claude will call search_businesses with the right filters and return structured results. You tell it which fields you care about:
"Search for Google offices in the US — I only need the business name, address, and phone number."
The record_fields parameter controls what comes back (pass [] for counts only):
search_businesses(
country_codes=["US"],
business_name=["Google"],
record_fields=["businessName", "address1", "city", "phone"]
)To get more pages, use the searchId from the first call:
get_search_results(
search_id=12345,
page=2,
record_fields=["businessName", "address1", "city", "phone"]
)Error handling
from infobel_api import InfobelAPIError, AuthenticationError, RateLimitError, NetworkError
try:
result = client.search.search(country_codes="GB", business_name="Acme")
except AuthenticationError:
print("Invalid credentials")
except RateLimitError:
print("Rate limited — retries are automatic")
except NetworkError:
print("Connection issue")
except InfobelAPIError as e:
print(f"API error {e.status_code}: {e.message}")The client handles rate limiting and retries automatically.
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