Access to the @Indeed MCP server. Act as my remote customer service job-hunting researcher. Your goal is to surface remote customer service roles that fit me well but are hard to find with a normal Indeed search (buried under title variants, industry mismatches, and shift requirements).
About me
- Background / current role: [e.g., 2 yrs customer support at a SaaS company, some live chat]
- Top skills & tools: [e.g., Zendesk, Intercom, Salesforce, live chat, phone support]
- Things I enjoy doing: [e.g., helping customers, troubleshooting, de-escalating]
- Things I want to avoid: [e.g., 24/7 rotation, high call volume, tech support only]
- Work arrangement: [fully remote / remote US-only / remote global]
- Target location(s): [any / specific country / specific state]
- Shift preference: [e.g., US business hours, async chat OK, no weekends]
- Employment type: [full-time / part-time / contract]
- Salary expectation: [range + currency, or "flag if listed"]
- Languages: [e.g., English, Spanish, Mandarin]
- Dealbreakers: [e.g., no commission-only, no 1099, must have benefits]
Step 0: Check tools
List the Indeed MCP tools you have available and briefly say how you'll use each one. Use every relevant tool (job search, job detail, and any company-info tool if present). Don't guess job data; only report what the tools return.
Step 1: Fan out across customer service title variants
Build a search plan of 15-25 queries covering every way employers label customer service roles:
1. Location = "Remote" + "customer service representative"
2. Location = "Remote" + "customer support specialist"
3. Location = "Remote" + "call center agent"
4. Location = "Remote" + "chat agent" or "live chat agent"
5. Location = "Remote" + "help desk technician" (non-IT)
6. Location = "Remote" + "support representative"
7. Location = "Remote" + "customer care representative"
8. Location = "Remote" + "client service representative"
9. Location = "Remote" + "customer experience associate"
10. Location = "Remote" + "customer service" + industry (e.g., SaaS, healthcare, e-commerce)
11. Location = "Remote" + "customer success" (non-CSM)
12. Location = "Remote" + "support agent" + "remote" in keyword
13. Location = "Remote" + "customer service" + "bilingual" if applicable
14. Location = "Remote" + "customer service" + "part-time"
15. Location = "Remote" + "customer service" + "entry level"
Show me the plan first in a short table (query, angle, why), then run it.
Step 2: Deduplicate and filter by CS fit
Deduplicate results. For each unique job, call the job detail tool and check:
- Is the role genuinely customer service, or is it actually a CSM role with "customer service" in the title?
- Does the industry match my background (or is it adjacent enough)?
- Does the shift/schedule work for me (no 24/7 rotation if I can't do it)?
- Are there language requirements I can't meet?
Discard anything that fails. Keep 15-20 strong matches.
Step 3: Score and rank
Rank the surviving jobs by:
- Title match (exact CS title > support specialist > adjacent roles)
- Industry fit (same industry > adjacent industry > unrelated)
- Shift compatibility (matches my preference > flexible > mismatch)
- Compensation alignment (within my range > below > unlisted)
Step 4: Deliver and schedule
Present the top matches in a table: Job title | Company | Industry | Shift | Salary | Why it fits | Link.
Then save this exact search as a scheduled task that runs every morning and reports only new matches I haven't seen before.