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Prompt Multi-domain Claude · GPT-4 · MCP

Best Prompts & MCP of the Week — May 4, 2026

This week: a contract risk scanner for legal teams and the MCP Memory server for persistent AI context across sessions.

Prompt of the week

The Contract Risk Scanner: Structured Red-Flag Review for Non-Lawyers

What it does: Turns any contract or agreement into a prioritized risk summary with plain-language explanations. Built for legal ops, HR, procurement, and finance professionals who review contracts regularly but don’t have outside counsel on speed dial for every routine document.

When to use it:

  • Reviewing vendor or SaaS agreements before routing to legal for final sign-off
  • Screening employment offer letters, NDAs, or consulting agreements for non-standard clauses
  • Preparing a risk briefing before a contract negotiation meeting

The prompt:

You are a senior contract review analyst. Your job is to read the contract below and produce a structured risk report for a non-lawyer business professional.

CONTRACT:
[PASTE FULL CONTRACT TEXT HERE]

CONTEXT:
- Our company is: [COMPANY NAME AND BRIEF DESCRIPTION]
- Contract type: [e.g., SaaS Subscription, NDA, Employment Agreement, Vendor Services]
- Our role in this contract: [BUYER / SELLER / EMPLOYER / EMPLOYEE / OTHER]
- Key concern areas (optional): [e.g., liability caps, IP ownership, termination rights]

Deliver your report in this exact format:

**Overall Risk Level:** [LOW / MEDIUM / HIGH] — one sentence rationale.

**Top 5 Red Flags:**
For each: Clause name or location | What it says (plain English) | Why it matters | Suggested action

**Favorable Terms Worth Keeping:**
List 2–3 clauses that protect our interests. Explain briefly.

**Missing Standard Protections:**
List any clauses commonly expected in this contract type that are absent.

**Recommended Next Steps:**
Prioritized list of actions before signing.

Be direct. Flag genuine risks only. Do not summarize boilerplate.

Tips:

  • Add your company’s standard fallback positions in the CONTEXT block to get negotiation-ready redline suggestions instead of generic flags
  • Run this on the counterparty’s paper first, then on your own template — the gap between the two outputs is your negotiating agenda
  • For long contracts, paste one article or section at a time and ask it to maintain a running risk register across sessions

MCP deployment of the week

Memory MCP Server

What it does: The Memory MCP server gives your AI a persistent, queryable knowledge graph that survives across conversations. Instead of re-explaining your clients, org structure, ongoing projects, or preferences every time you open a new chat, the server stores and retrieves that context automatically. It connects to Claude or any MCP-compatible AI client and treats your accumulated professional knowledge as a live, searchable resource.

Best for: Operations managers, HR business partners, account managers, and anyone who runs recurring workflows with the same cast of clients, vendors, or internal stakeholders

How to deploy:

  1. Install the Memory MCP server via the MCP Registry at registry.modelcontextprotocol.io — search “Memory” and follow the one-command install for your OS
  2. Connect it to your MCP-compatible client (Claude Desktop is the most common; go to Settings → MCP Servers → Add and paste the server config)
  3. In your first session, tell the AI: “Store the following as persistent context — ” and describe your key stakeholders, recurring projects, and any preferences you want remembered across sessions; from then on the graph updates automatically as you work

Why it matters: The single biggest productivity tax in daily AI use is re-orientation — you spend the first five minutes of every session re-explaining who your clients are, what project you’re mid-stream on, and what format you prefer. Memory MCP eliminates that entirely. For an HR business partner supporting four business units, or an ops manager coordinating a dozen vendors, this compounds fast. Context that used to evaporate now persists, gets richer over time, and can be queried directly. It turns a stateless assistant into something that actually behaves like it knows your work.

Also worth trying

The Executive Briefing Compressor (Finance & Strategy). Paste any earnings call transcript, analyst report, or board memo and ask: “Summarize this for a CFO who has 90 seconds. Lead with the number that changed, explain why, and list the top two risks. No more than 150 words.” Cuts through investor-relations prose and gives finance teams a scannable brief before the next internal sync. Works equally well on 10-Ks, board packets, and internal QBR decks.

Fetch MCP Server (Marketing & Research). Fetch lets your AI pull live web content directly into a conversation — no copy-pasting, no stale PDFs. Marketing teams use it to have Claude ingest a competitor’s pricing page, a press release, or a LinkedIn post and immediately produce a comparison, a response brief, or a repurposed asset. Install from the MCP Registry in under five minutes and pair it with a prompt like: “Fetch [URL] and rewrite the core value proposition for our audience: [DESCRIBE AUDIENCE].”

The Hiring Decision Memo Generator (HR & Talent). After a debrief call, paste each interviewer’s raw notes and the job description into this prompt: “You are a talent partner. Synthesize these interview notes into a one-page hiring memo: candidate strengths, concerns, a consensus recommendation, and the single most important open question if we proceed. Notes: [PASTE NOTES]. Role: [JOB DESCRIPTION].” Standardizes inconsistent feedback into a document that holds up in a hiring committee — and creates an audit trail that HR already needs.

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