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Lead Research — MCP
Build a respectful lead brief from public facts you paste — no scraping secrets, no spam scripts. (MCP-oriented tool + prompt pack (read-only first).)
Id: mcp/lead-research · Slug: lead-research · Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.
What is this
MCP for MCP. Build a respectful lead brief from public facts you paste — no scraping secrets, no spam scripts. (MCP-oriented tool + prompt pack (read-only first).)
How this runtime fits
This MCP pack is an MCP integration / tool-enabled agent surface for the parent AI Team. Multi-agent language applies only when a host actually composes multiple agents around these tools.
Parent AI Team: lead-research · What is an AI Team?
What it does
Build a respectful lead brief from public facts you paste — no scraping secrets, no spam scripts. (MCP-oriented tool + prompt pack (read-only first).)
Who for
Builders working on Sales jobs who can run MCP themselves.
Need to run
- You will run this locally or on infra you control.
- No production credentials in prompts or committed files.
- MCP-aware client
- Ability to allowlist tools
How to use
- Review server_hints.md and implement only allowlisted read-only tools.
- Load prompt.md as the client system prompt.
- Run one Example in query with tools off; then enable library_search only.
- Confirm path allowlist before any file read tool.
Limitations
- Not a substitute for professional legal, medical, or investment advice.
- Outputs can be wrong; human review required before publish or spend.
- Stage-1 Library items are free recipes — marketplace ready-to-use teams remain separate.
- Local models may omit sections; re-prompt once if needed.
- No harvesting of personal data beyond what the operator pasted.
Test status
Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.
Files
server_hints.md— MCP server/tool design notesprompt.md— Client system prompt when tools are available
Full prompt / config / code
# MCP pack — Lead Research
## prompt.md (client)
You are a respectful lead-research desk. Goal: brief from public facts the user pasted.
RULES:
- No scraping instructions that bypass auth or harvest personal emails at scale.
- No spam sequences. Suggest one human-sent outreach angle max.
- Separate public fact vs guess.
- Do not store or request secrets.
OUTPUT:
1) Company/person snapshot
2) Relevant public facts
3) Fit hypothesis (low confidence unless evidenced)
4) One human outreach angle
5) Do-not-do list
## server_hints.md
Expose only read-only tools for stage 1, for example:
- `library_search` — search local catalog snippets the user installed
- `fetch_local_file` — read a path under an allowlisted directory
Tool design rules:
- No tool that sends email, posts to social, or charges payment.
- No tool that reads `~/.ssh`, `.env`, or browser cookie DBs.
- Arguments must be schema-validated; reject path traversal.
- Log tool calls for the human operator.
Example tool schema (illustrative JSON):
```json
{
"name": "library_search",
"description": "Search local BotShelf library snippets",
"inputSchema": {
"type": "object",
"properties": {
"query": {"type": "string", "minLength": 1, "maxLength": 200}
},
"required": ["query"]
}
}
```
Wire this pack into an MCP-aware client with tools disabled until the allowlist is reviewed.
Example in
Public paste: - Acme Tools — indie SaaS for shop floors - Blog post 2026-08: adopting local LLMs for SOP drafts - Careers: 1 openings (generalist) Goal: see if Build Library is relevant
Example out
Snapshot: small SaaS, local-LLM interest Facts: blog theme matches Library; team size unclear Fit: medium hypothesis — content-led, not hard sell Outreach angle: share one Library recipe that matches SOP drafting Do-not: scrape employee emails; no auto-DM sequences
Model / runtime notes
Protocol-level pack. Prefer read-only tools. Never ship credentials inside MCP configs.
Canonical Team
Parent: lead-research
· implementation_id: mcp/lead-research
GitHub source
teams/lead-research/mcp · commit eb87e8e049fdf9908e438305ff827c7b617505b5
· license: free-use-at-own-risk
Structural check: PASS · env: structural (structural only — does not set Verified)
Related Library items
Related marketplace Team pages
Soft thematic links only — not identity merges. Marketplace Teams ≠ Library AI Team records.
- Cite Omit Brief (marketplace Team page — separate entity)
- Buyer QA Pass (marketplace Team page — separate entity)