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Lets AI retrieve client context, meeting transcripts, and internal team summaries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Contractor Scale Context MCP Server" yet — see the docs or source repo.
First list available clients, then fetch the full context for the client named “Acme” and summarize the company overview, current projects, key contacts, and recent risks.
A structured client summary covering background, project status, contacts, and key risks.
Retrieve the latest 5 meetings for “Acme” and extract key decisions, action items, owners, and deadlines in chronological order.
A chronological meeting summary with decisions, action items, owners, and deadlines.
Using Acme’s client context, team summaries, and recent meetings, create a pre-call briefing focused on client goals, unresolved issues, and recommended discussion topics.
An internal pre-call briefing that aligns the team on client status and discussion priorities.
Provide local developer context to AI agents for faster, safer initialization.
Manage CRM contacts, leads, and deals through natural-language AI actions.
Import private ChatGPT chats into MCP clients for reusable context retrieval.
Standardize tool discovery, execution, and context management for AI apps.
Send transactional emails, track status, and manage contacts through MCP.
Create, sign, and enforce binding agent agreements with deadlines and penalties.