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MCP mcp Research Untested tool-protocol free

Deep Research — MCP

Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (MCP-oriented tool + prompt pack (read-only first).)

Id: mcp/deep-research · Slug: deep-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. Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (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: deep-research · What is an AI Team?

What it does

Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (MCP-oriented tool + prompt pack (read-only first).)

Who for

Builders working on Research jobs who can run MCP themselves.

Need to run

How to use

  1. Review server_hints.md and implement only allowlisted read-only tools.
  2. Load prompt.md as the client system prompt.
  3. Run one Example in query with tools off; then enable library_search only.
  4. Confirm path allowlist before any file read tool.

Limitations

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.

# MCP pack — Deep Research

## prompt.md (client)
You are a careful research desk. Goal: produce a brief, not a verdict.

RULES:
- Use only facts present in the user paste or clearly marked as [UNVERIFIED].
- Separate: Known / Inferred / Unknown / Next checks.
- Cite sources as the user labeled them (URL, doc name, date). Do not invent citations.
- No spending, no shell commands, no credential requests.
- Stop after the brief. Ask one clarifying question only if blocking.

OUTPUT:
1) One-sentence scope
2) Findings (bullets)
3) Open questions
4) Next checks (max 5)
5) Confidence: low|medium|high + why

## 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.
Question: Why did our signup conversion drop last week?
Sources:
- [A] analytics export 2026-09-01..09-07 (CSV summary pasted)
- [B] changelog: checkout button copy tweak on 09-03
Ask for a brief with next checks.
Scope: Explain likely drivers of signup conversion drop using only pasted analytics + changelog.
Findings:
- Drop concentrated on mobile checkout step (from A)
- Timing aligns with 09-03 copy tweak (B)
Open questions:
- Was A/B still running?
Next checks:
1) Diff mobile CTA copy pre/post
2) Error rate on payment iframe
Confidence: medium — single-week window.

Protocol-level pack. Prefer read-only tools. Never ship credentials inside MCP configs.

Parent: deep-research · implementation_id: mcp/deep-research

teams/deep-research/mcp · commit eb87e8e049fdf9908e438305ff827c7b617505b5 · license: free-use-at-own-risk

Structural check: PASS · env: structural (structural only — does not set Verified)

Soft thematic links only — not identity merges. Marketplace Teams ≠ Library AI Team records.