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alexleventer

Marketo MCP Server

by alexleventer

marketo_get_lead_lists

Retrieve lists associated with a specific lead in Marketo to analyze lead membership and segmentation for targeted marketing campaigns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadIdYes
batchSizeNo
nextPageTokenNo

Implementation Reference

  • Handler function that executes the 'marketo_get_lead_lists' tool logic by calling the Marketo API to retrieve leads from a list.
    async ({ leadId, batchSize = 100, nextPageToken }) => {
      try {
        const params = new URLSearchParams({
          batchSize: batchSize.toString(),
        });
    
        if (nextPageToken) {
          params.append('nextPageToken', nextPageToken);
        }
    
        const response = await makeApiRequest(
          `/rest/v1/lists/${leadId}/leads.json?${params.toString()}`,
          'GET'
        );
    
        return {
          content: [{ type: 'text', text: JSON.stringify(response, null, 2) }],
        };
      } catch (error: any) {
        return {
          content: [
            { type: 'text', text: `Error: ${error.response?.data?.message || error.message}` },
          ],
        };
      }
    }
  • Input schema validation using Zod for the 'marketo_get_lead_lists' tool parameters.
    {
      leadId: z.number(),
      batchSize: z.number().optional(),
      nextPageToken: z.string().optional(),
    },
  • src/index.ts:603-636 (registration)
    Registration of the 'marketo_get_lead_lists' tool on the MCP server, including name, schema, and inline handler.
    server.tool(
      'marketo_get_lead_lists',
      {
        leadId: z.number(),
        batchSize: z.number().optional(),
        nextPageToken: z.string().optional(),
      },
      async ({ leadId, batchSize = 100, nextPageToken }) => {
        try {
          const params = new URLSearchParams({
            batchSize: batchSize.toString(),
          });
    
          if (nextPageToken) {
            params.append('nextPageToken', nextPageToken);
          }
    
          const response = await makeApiRequest(
            `/rest/v1/lists/${leadId}/leads.json?${params.toString()}`,
            'GET'
          );
    
          return {
            content: [{ type: 'text', text: JSON.stringify(response, null, 2) }],
          };
        } catch (error: any) {
          return {
            content: [
              { type: 'text', text: `Error: ${error.response?.data?.message || error.message}` },
            ],
          };
        }
      }
    );
  • Shared helper function for making authenticated API requests to Marketo, used by the tool handler.
    async function makeApiRequest(
      endpoint: string,
      method: string,
      data?: any,
      contentType: string = 'application/json'
    ) {
      const token = await tokenManager.getToken();
      const headers: any = {
        Authorization: `Bearer ${token}`,
      };
    
      if (contentType) {
        headers['Content-Type'] = contentType;
      }
    
      try {
        const response = await axios({
          url: `${MARKETO_BASE_URL}${endpoint}`,
          method: method,
          data:
            contentType === 'application/x-www-form-urlencoded'
              ? new URLSearchParams(data).toString()
              : data,
          headers,
        });
        return response.data;
      } catch (error: any) {
        console.error('API request failed:', error.response?.data || error.message);
        throw error;
      }
    }
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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