MCP Server

Legacy enrichment tools are form-based and manual. MoltSets is prompt-and-go. It’s an MCP built specifically for AI agents — so your agent can de-anonymize website visitors, resolve hashed emails (HEMs) to real identities, enrich contacts from LinkedIn, and connect the dots between IP addresses, MAIDs, and people. The full identity graph, accessible in a single tool call.

What is the MoltSets MCP Server?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect directly to external tools and data sources instead of relying on their training data. The MoltSets MCP Server gives any compatible AI tool direct access to MoltSets enrichment capabilities — every endpoint, parameter, and response schema — so your agent can enrich contacts, resolve identities, and look up visitor data without leaving the conversation. MCP Server URL

https://mcp.moltsets.com/mcp

Why Use It?

AI models are trained on static snapshots of the internet. When they generate code for an API, they often:

Hallucinate endpoints that don’t exist
Use outdated parameter names
Return incorrect response shapes

With the MoltSets MCP Server connected:

Without MCP	With MCP
AI guesses endpoint URLs	AI reads the real API reference
Outdated parameter names	Always up-to-date parameter schemas
Incorrect response shapes	Accurate response structures from source
Back-and-forth corrections	Correct code on the first try

Setup

Claude (claude.ai)
Claude Desktop
Claude Code

In Claude.ai, go to Settings → Connectors → Add Custom Connector.
Paste the following URL into Remote MCP server URL:
```
https://mcp.moltsets.com/mcp
```
Under Advanced Settings, enter your MoltSets Connector credentials:
- OAuth Client ID: your Client ID
- OAuth Client Secret: your Client Secret

To get your credentials, log into app.moltsets.com and go to Connectors to create a new connector.

Claude Desktop is configured via a JSON file rather than the Claude.ai UI.

Open your Claude Desktop config file. On Mac: ~/Library/Application Support/Claude/claude_desktop_config.json. On Windows: %APPDATA%\Claude\claude_desktop_config.json.
Add the following entry under mcpServers, replacing the placeholder values with your credentials:

{
  "mcpServers": {
    "moltsets": {
      "type": "http",
      "url": "https://mcp.moltsets.com/mcp",
      "clientId": "your-client-id",
      "clientSecret": "your-client-secret"
    }
  }
}

Save the file and restart Claude Desktop.

To get your credentials, log into app.moltsets.com and go to Connectors to create a new connector.

Configuring Tool Permissions

By default, all MoltSets tools are set to Needs Approval — Claude will prompt you the first time each tool is used. To update permissions in bulk:

Go to Settings → Connectors
Click Configure beside the MoltSets connector
Use the bulk change tool to set all tools to Always Allow

To restrict specific tools, set them individually to Blocked.

Run the following command in your terminal, replacing the placeholder values with your credentials:

claude mcp add --transport http moltsets https://mcp.moltsets.com/mcp \
  --client-id YOUR_CLIENT_ID \
  --client-secret YOUR_CLIENT_SECRET

Claude Code will open a browser window and prompt you to approve access on the MoltSets consent screen. Once approved, your token is stored and managed automatically.

To get your credentials, log into app.moltsets.com and go to Connectors to create a new connector.

Example Prompts

Once connected, you can talk to MoltSets the same way you’d talk to a colleague. Here are a few prompts to get started: Enrich a contact from LinkedIn

“Enrich this LinkedIn profile and give me their business email and phone number: linkedin.com/in/example”

Look up a visitor

“I have an IP address from a site visitor — 192.0.2.1 — can you tell me who this is?”

Resolve a hashed email

“Resolve this HEM to a real identity and return the name and company: abc123...”

Bulk enrich a list

“Here are 10 LinkedIn URLs. Enrich each one for business email and return the results as a table.”

Visit “I Have X, I Want Y” for more example prompts.

Troubleshooting

Connection fails after adding the config

Restart your AI tool after adding the MCP configuration. Most clients need a full restart to detect new MCP servers.Verify the URL is exactly:

https://mcp.moltsets.com/mcp

No trailing slash, no extra path segments.

Authentication errors (invalid credentials)

Double-check that your Client ID and Client Secret are copied correctly from app.moltsets.com — no extra spaces, no truncation.If your credentials were recently rotated or revoked, generate a new connector from the Connectors page and update your config with the new values. Then restart your AI tool.

Network or timeout errors

Check your network connection and try again. If the issue persists, verify the server is reachable by opening https://mcp.moltsets.com/mcp in your browser. If you see a response (even an error page), the server is up and the issue is likely local to your config.

Getting Started

Use Cases

Integrations

MoltSets MCP

MCP Server

What is the MoltSets MCP Server?

Why Use It?

Setup

Configuring Tool Permissions

Example Prompts

Troubleshooting

Getting Started

Use Cases

Integrations

Documentation Index

​MCP Server

​What is the MoltSets MCP Server?

​Why Use It?

​Setup

​Configuring Tool Permissions

​Example Prompts

​Troubleshooting

MCP Server

What is the MoltSets MCP Server?

Why Use It?

Setup

Configuring Tool Permissions

Example Prompts

Troubleshooting