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Data Collection

tomba.io

Provides tools to find and enrich email addresses and company information for lead generation and outreach.

1 endpoint38 known toolsFirst detected June 5, 2026Last detected September 8, 2026

ENDPOINT 1

https://mcp.tomba.io/mcp

No auth detected

MCP server metadata

Name
Tomba MCP
Version
1.0.0
Capabilities
loggingtools.listChangedresources.listChangedprompts.listChanged

Known tools 38

account_info

Get current Tomba account information including plan, credits, and usage limits

Inferred read-only
author_finder

Find the email address of an article's author from a given URL.

Potential side effects
autocomplete

Autocomplete company names and retrieve logo and domain information

Inferred read-only
combined_enrichment

Combined person and company enrichment by email

Potential side effects
companies_search

Search for companies in the Tomba database.

Inferred read-only
company_enrichment

Find company data by domain including industry, size, location, and social profiles

Inferred read-only
create_flag

Report incorrect data for credit recovery

Inferred read-only
create_lead

Add a new lead to a list

Inferred read-only
domain_search

Search for all email addresses associated with a specific domain or company.

Potential side effects
domain_status

Check if a domain is a webmail provider or disposable email service

Potential side effects
email_count

Get the count of email addresses available for a specific domain.

Potential side effects
email_enrichment

Enrich an email address with additional information about the person, including their name, position, company details, and social profiles.

Potential side effects
email_finder

Find the email address of a specific person given their name and company domain or company name.

Potential side effects
email_format

Get the email format patterns used by a specific domain

Potential side effects
email_sources

Find where an email address was found on the web

Potential side effects
email_verifier

Verify if an email address is valid and deliverable.

Potential side effects
get_logs

Get recent API request logs

Inferred read-only
linkedin_finder

Find the email address associated with a LinkedIn profile URL.

Potential side effects
list_flags

List submitted data flags with status and credit refund information

Potential side effects
list_keys

List all API keys for the account

Inferred read-only
list_leads

List leads with optional domain filter

Inferred read-only
location

Get employees location count by country for a domain

Inferred read-only
mpp_author_finder

Find the email address of the author of a blog post or article using MPP (Machine Payments Protocol).

Potential side effects
mpp_domain_search

Search for all email addresses associated with a specific domain using MPP (Machine Payments Protocol).

Potential side effects
mpp_email_count

Get the count of email addresses available for a specific domain using MPP (Machine Payments Protocol).

Potential side effects
mpp_email_enrichment

Enrich an email address with detailed contact and company information using MPP (Machine Payments Protocol).

Potential side effects
mpp_email_finder

Find a person's email address given their name and company domain using MPP (Machine Payments Protocol).

Potential side effects
mpp_email_verifier

Verify if an email address is valid and deliverable using MPP (Machine Payments Protocol).

Potential side effects
mpp_linkedin_finder

Find a person's email address from their LinkedIn profile URL using MPP (Machine Payments Protocol).

Potential side effects
mpp_phone_finder

Find phone numbers associated with an email address, domain, or LinkedIn profile using MPP (Machine Payments Protocol).

Potential side effects
mpp_phone_validator

Validate a phone number and get carrier and location details using MPP (Machine Payments Protocol).

Inferred read-only
mpp_similar_finder

Find domains similar to a given domain using MPP (Machine Payments Protocol).

Inferred read-only
person_enrichment

Find person data by email including name, position, company, and social profiles

Potential side effects
phone_finder

Find phone numbers associated with an email address, domain, or LinkedIn profile.

Potential side effects
phone_validator

Validate and get information about a phone number.

Inferred read-only
similar_finder

Find companies similar to a given domain.

Inferred read-only
technology_finder

Discover the technologies used by a website.

Inferred read-only
usage_info

Get current API usage statistics across all endpoints

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.tomba-mcp]
url = "https://mcp.tomba.io/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "tomba-mcp": {
      "type": "http",
      "url": "https://mcp.tomba.io/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: tomba-mcp
Remote MCP URL: https://mcp.tomba.io/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "tomba-mcp": {
      "url": "https://mcp.tomba.io/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "tomba-mcp": {
      "type": "http",
      "url": "https://mcp.tomba.io/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "tomba-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.tomba.io/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for tomba.io was fetched 2026-08-24T01:16:00.714Z and is being refreshed.

Trust status Trusted

tomba.io is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.