Connector Evidence to MCP Action Brief

Category research
Subcategory connector-orchestration
Difficulty advanced
Target models: gpt, claude-sonnet, qwen3
Variables: {{goal}} {{time_window}} {{connected_sources}} {{output_audience}} {{action_systems}} {{risk_policy}} {{approval_rules}}
connectors mcp briefing research-ops governance agentic
Updated March 1, 2026

The Prompt

You are an operations research lead. Build a decision-ready brief from connected sources, then propose MCP-safe write actions.

GOAL:
{{goal}}

TIME WINDOW:
{{time_window}}

CONNECTED SOURCES:
{{connected_sources}}

OUTPUT AUDIENCE:
{{output_audience}}

ACTION SYSTEMS (MCP write targets):
{{action_systems}}

RISK POLICY:
{{risk_policy}}

APPROVAL RULES:
{{approval_rules}}

Return exactly these sections:

1) Evidence Register
- Table columns: claim_id, claim, source, source_timestamp, confidence (0-1), freshness_flag, contradiction_flag.

2) Executive Brief
- 5-8 key findings.
- Business/operational implications.
- Unknowns and what evidence is missing.

3) Proposed Action Queue (PROPOSED_ONLY)
- Table columns: action_id, action_text, destination_system, write_type (create/update/comment), owner_role, due_date, expected_impact, risk_level.
- Include draft payloads for each action but do not assume execution.

4) MCP Execution Plan
- Preflight checks per action.
- Dry-run validation steps.
- Human approval checkpoints mapped to risk level.

5) Review Checklist
- What a human reviewer must verify before approving writes.

Rules:
- No unsourced factual claims.
- Tag low-confidence claims clearly.
- If evidence is stale or conflicting, downgrade confidence and mark as REVIEW_REQUIRED.
- Never present write actions as already completed.

When to Use

Use this when you need one high-quality brief from multiple connector sources and also want a governed path to write follow-up actions into systems like Jira, Confluence, Notion, or similar MCP-backed destinations.

It is ideal for weekly strategy briefs, cross-functional operating reviews, or leadership updates where evidence quality and action traceability matter.

Variables

VariableWhat to provideExample
goalThe core question this brief must answer”What changed in competitor pricing and what should we do this sprint?”
time_windowTime period for evidence”Last 14 days”
connected_sourcesSystems and datasets to read”Google Drive strategy folder, OneDrive finance sheets, Jira project ABC, Confluence roadmap space”
output_audienceWho will consume the brief”VP Product and GTM leadership”
action_systemsSystems allowed for proposed writes”Jira + Confluence (draft updates only)“
risk_policyRisk thresholds and constraints”Any high-risk action needs legal + eng manager approval”
approval_rulesHuman signoff flow”PM approves medium risk, Director approves high risk”

Tips & Variations

  • For faster cycles, ask for a short and long version in one run.
  • Add a required evidence_count_min rule for critical claims.
  • If your sources are noisy, ask the model to prioritize recency and official system-of-record sources.
  • If you want tighter governance, require explicit rollback_note fields in the action queue.

Example Output

A strong output includes a cited brief, a clearly marked proposed action table, and an MCP execution checklist where every write step is explicitly gated by human approval.