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CloudWaddie

OSINT MCP Server

hunter_domain_search

Find email addresses associated with a specific domain using open-source intelligence. This tool helps identify contacts and verify organizational email patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to search for email addresses

Implementation Reference

  • MCP tool registration and handler implementation for hunter_domain_search in src/index.ts.
    server.tool(
      "hunter_domain_search",
      { domain: z.string().describe("Domain to search for email addresses") },
      async ({ domain }) => {
        const result = await hunterClient.domainSearch(domain);
        return {
          content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
        };
      }
  • Core API logic for Hunter domain search.
    async domainSearch(domain: string): Promise<HunterResult> {
      const apiKey = configManager.get("HUNTER_API_KEY");
      if (!apiKey) {
        throw new McpError(
          ErrorCode.InvalidRequest,
          "HUNTER_API_KEY is not configured"
        );
      }
    
      try {
        const data = await this.fetch<any>("domain-search", {
          method: "GET",
        }, {
          domain,
          api_key: apiKey,
        });
    
        return HunterResultSchema.parse(data);
      } catch (error) {
        if (error instanceof McpError) throw error;
        throw new McpError(
          ErrorCode.InternalError,
          `Hunter.io error: ${(error as Error).message}`
        );
      }
    }
  • Zod schema validation for Hunter.io domain search response.
    export const HunterResultSchema = z.object({
      data: z.object({
        domain: z.string(),
        organization: z.string().nullable(),
        emails: z.array(z.object({
          value: z.string(),
          type: z.string(),
          confidence: z.number(),
          sources: z.array(z.any()),
          first_name: z.string().nullable(),
          last_name: z.string().nullable(),
          position: z.string().nullable(),
        })),
      }),
    });
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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