mcpField
L
letsclarify-mcp

letsclarify-mcp

Local
github.com/heiseeAI & Agents
Repository

About letsclarify-mcp

Human-in-the-Loop API: AI agents create forms, share URLs with humans, get JSON back

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "heisee-letsclarify": {
      "command": "npx",
      "args": [
        "-y",
        "@heisee/letsclarify-mcp"
      ],
      "env": {
        "LETSCLARIFY_API_KEY": "<LETSCLARIFY_API_KEY>"
      }
    }
  }
}
Run commandnpx -y @heisee/letsclarify-mcp
Environment variables to set
LETSCLARIFY_API_KEYSecretYour LetsClarify API key (starts with lc_)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@heisee/letsclarify-mcp1.0.4

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
titlestringNoForm title shown to recipients
schemaarrayYesForm field definitions (1–50 fields)
theme_colorstringNoHex color for form branding, e.g. #1a2b3c
webhook_urlstringNoHTTPS URL for submission webhooks
retention_daysintegerNoDays until auto-deletion (default: 30)
recipient_countintegerNoNumber of recipient slots (default: 1)
context_markdownstringNoMarkdown context shown above the form

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.