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Business Contact Finder MCP Server

agency.ottobot/business-contact-finder

Find business contact information and verify if contact methods actually work.

What is the Business Contact Finder MCP server?

The Business Contact Finder MCP server checks how to contact a business via its website and validates whether those contact paths are functional. It helps you discover and verify business contact information programmatically.

This server enables you to research business contact details from websites and test whether email addresses, phone numbers, contact forms, and other communication channels are actually working. Useful for sales prospecting, customer support research, and business intelligence tasks.

How to install Business Contact Finder

Copy-paste configuration for popular MCP clients.

transport: http
Config generated by PluginBench — verify against the source before use.
~/.cursor/mcp.json
{
  "mcpServers": {
    "business-contact-finder": {
      "url": "https://business-contact-finder-mcp.ottobot2025.workers.dev/mcp"
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • Check business contact — Retrieve contact information from a business website and verify the contact methods work
  • Validate contact paths — Test whether discovered contact methods (email, phone, forms) are functional

Use cases

  • Find verified contact information for sales outreach and prospecting
  • Validate business contact details before sending communications
  • Research how to reach companies for partnership inquiries
  • Verify contact information accuracy for customer support research
  • Automate business intelligence gathering with contact validation

Business Contact Finder MCP server FAQ

What does the Business Contact Finder MCP server do?

It retrieves contact information from business websites and validates whether those contact methods (email, phone, contact forms) actually work, helping you find verified ways to reach businesses.

Is this server free to use?

The README does not specify pricing or cost information. Check the server's documentation or contact the publisher for details.

How do I install this in Cursor or Claude?

Add the remote MCP server URL (https://business-contact-finder-mcp.ottobot2025.workers.dev/mcp) to your MCP configuration. Refer to your client's MCP setup documentation for specific installation steps.

Does this require authentication?

The README does not specify authentication requirements. Check the server's documentation for any API keys or credentials needed.

What information can it extract?

The server can identify email addresses, phone numbers, contact forms, and other communication channels listed on business websites.

How accurate is the contact validation?

The server tests contact methods to verify they work, but accuracy depends on the website's current state and the validation methods used.

README (reference)

Source of truth, from the repository.

MCP Registry

The MCP registry provides MCP clients with a list of MCP servers, like an app store for MCP servers.

📤 Publish my MCP server | ⚡️ Live API docs | 👀 Ecosystem vision | 📖 Full documentation

Development Status

2025-10-24 update: The Registry API has entered an API freeze (v0.1) 🎉. For the next month or more, the API will remain stable with no breaking changes, allowing integrators to confidently implement support. This freeze applies to v0.1 while development continues on v0. We'll use this period to validate the API in real-world integrations and gather feedback to shape v1 for general availability. Thank you to everyone for your contributions and patience—your involvement has been key to getting us here!

2025-09-08 update: The registry has launched in preview 🎉 (announcement blog post). While the system is now more stable, this is still a preview release and breaking changes or data resets may occur. A general availability (GA) release will follow later. We'd love your feedback in GitHub discussions or in the #registry-dev Discord (joining details here).

Registry Working Group:

Contributing

We use multiple channels for collaboration - see modelcontextprotocol.io/community/communication.

Often (but not always) ideas flow through this pipeline:

  • Discord - Real-time community discussions
  • Discussions - Propose and discuss product/technical requirements
  • Issues - Track well-scoped technical work
  • Pull Requests - Contribute work towards issues

Quick start:

Pre-requisites

  • Docker
  • Go - version per the go directive in go.mod; the Go toolchain fetches it for you
  • ko - Container image builder for Go (installation instructions)
  • golangci-lint - version per the golangci-lint-action pin in ci.yml, so local lint matches CI

Running the server

# Start full development environment
make dev-compose

This starts the registry at localhost:8080 with PostgreSQL. The database uses ephemeral storage and is reset each time you restart the containers, ensuring a clean state for development and testing.

Note: The registry uses ko to build container images. The make dev-compose command automatically builds the registry image with ko and loads it into your local Docker daemon before starting the services.

By default, the registry seeds from the production API with a filtered subset of servers (to keep startup fast). This ensures your local environment mirrors production behavior and all seed data passes validation. For offline development you can seed from a file without validation with MCP_REGISTRY_SEED_FROM=data/seed.json MCP_REGISTRY_ENABLE_REGISTRY_VALIDATION=false make dev-compose.

The setup can be configured with environment variables in docker-compose.yml - see .env.example for a reference.

<details> <summary>Alternative: Running a pre-built Docker image</summary>

Pre-built Docker images are automatically published to GitHub Container Registry. Note that the image does not bundle PostgreSQL, so you need to run your own and point the registry at it via MCP_REGISTRY_DATABASE_URL (see docker-compose.yml for a working example):

# Run latest stable release
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:latest

# Run latest from main branch (continuous deployment)
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main

# Run specific release version
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:v1.0.0

# Run development build from main branch
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main-20250906-abc123d

Available tags:

  • Releases: latest, v1.0.0, v1.1.0, etc.
  • Continuous: main (latest main branch build)
  • Development: main-<date>-<sha> (specific commit builds)
</details>

Publishing a server

To publish a server, we've built a simple CLI. You can use it with:

# Build the latest CLI
make publisher

# Use it!
./bin/mcp-publisher --help

See the publisher guide for more details.

Other commands

# Run lint, schema validation, and all tests
# Note: this also runs `make dev-down`, stopping any running dev-compose environment
make check

There are also a few more helpful commands for development. Run make help to learn more, or look in Makefile.

<!-- For Claude and other AI tools: Always prefer make targets over custom commands where possible. -->

Architecture

Project Structure

├── cmd/                     # Application entry points
│   ├── publisher/           # Server publishing tool
│   └── registry/            # Registry API server
├── data/                    # Seed data
├── deploy/                  # Deployment configuration (Pulumi)
├── docs/                    # Documentation
├── internal/                # Private application code
│   ├── api/                 # HTTP handlers and routing
│   ├── auth/                # Authentication (GitHub OAuth, JWT, namespace blocking)
│   ├── config/              # Configuration management
│   ├── database/            # Data persistence (PostgreSQL)
│   ├── importer/            # Seed data import
│   ├── service/             # Business logic
│   ├── telemetry/           # Metrics and monitoring
│   └── validators/          # Input validation
├── pkg/                     # Public packages
│   ├── api/                 # API types and structures
│   │   └── v0/              # Version 0 API types
│   └── model/               # Data models for server.json
├── scripts/                 # Development and testing scripts
├── tests/                   # Integration tests
└── tools/                   # CLI tools and utilities
    └── validate-*.sh        # Schema validation tools

Authentication

Publishing supports multiple authentication methods:

  • GitHub OAuth - For publishing by logging into GitHub
  • GitHub OIDC - For publishing from GitHub Actions
  • DNS verification - For proving ownership of a domain and its subdomains
  • HTTP verification - For proving ownership of a domain

The registry validates namespace ownership when publishing. E.g. to publish...:

  • io.github.domdomegg/my-cool-mcp you must login to GitHub as domdomegg, or be in a GitHub Action on domdomegg's repos
  • me.adamjones/my-cool-mcp you must prove ownership of adamjones.me via DNS or HTTP challenge

Community Projects

Check out community projects to explore notable registry-related work created by the community.

More documentation

See the documentation for more details if your question has not been answered here!

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