PluginBench
MCP Server
Active

Contact Affordance MCP Server

org.ottobot/contact-affordance

Verify business contact methods and test whether they actually work.

What is the Contact Affordance MCP server?

The Contact Affordance MCP server checks how to contact a business website and validates whether those contact paths are functional. It helps you discover and verify contact methods for any business.

This server analyzes business websites to identify available contact methods (email, phone, contact forms, etc.) and tests whether they actually work. Use it when you need to verify contact information is current and functional before reaching out to a business.

How to install Contact Affordance

Copy-paste configuration for popular MCP clients.

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

Tools & capabilities

Tools this server exposes to the agent.

  • Check contact affordance — Analyze a business website to identify available contact methods and verify their functionality.

Use cases

  • Verify a business has working contact methods before attempting outreach
  • Discover all available contact options for a company website
  • Test whether contact forms or email addresses on a website are functional
  • Validate contact information accuracy for lead generation or sales outreach
  • Audit website contact accessibility and functionality

Contact Affordance MCP server FAQ

What does the Contact Affordance MCP server do?

It checks business websites to identify available contact methods (email, phone, contact forms, etc.) and tests whether those contact paths actually work and are functional.

Is this server free to use?

The server is available via the remote streamable-HTTP endpoint at https://contact-affordance-mcp.ottobot2025.workers.dev/mcp. Pricing details are not specified in the documentation.

How do I install this in Cursor or Claude?

Add the remote MCP server using the streamable-HTTP endpoint: https://contact-affordance-mcp.ottobot2025.workers.dev/mcp. Refer to your client's MCP configuration documentation for specific setup steps.

Does this require authentication?

No authentication requirements are mentioned in the documentation.

What information do I need to use it?

You need the URL of a business website you want to analyze for contact methods.

Can it test all types of contact methods?

The server identifies and validates contact affordances on websites, including common methods like email, phone numbers, and contact forms.

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!

Related MCP servers

Check if a business website is still live by testing apex, www, and DNS separately.

7.3k
Go
View repository →

Agent-native CLI: provenance, cost governance, and execution contracts for AI agents.

0
C
AGPL-3.0
View repository →

Pre-send EVM address checks: free pre-check, $0.01 check, $0.05 deep scan. x402: payment is auth.

0
JavaScript
MIT
View repository →

Deterministic peptide reconstitution and dosing math, so assistants compute it instead of guessing.

Non-diagnostic child-development knowledge by Pinnacle Blooms: search, milestones, ICF crosswalk.

Pay-per-call data APIs for AI agents. USDC on Base via x402. 33 tools, no signup.