mcp-document-architect
Allows Google Workspace to serve as the document store backend, enabling agents to list, read, write, and search corporate documents through the MCP server.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-document-architectTurn the Q3 revenue mission script into a report outline."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-document-architect
The Ecosystem Connector.
An MCP server granting NPC Agents read/write access to the corporate paper trail so their reports and cross-references always align with the Pilot's Mission Script (the high-fidelity strategic intent: outcome, scope, constraints, verification).
Context
Agents acting inside the corporate ecosystem need a stable, shared document layer and a drafting discipline. This server:
exposes a document store of the corporate trail (
list/read/write/search), andturns a Mission Script into a structured report outline + section scaffolds, each annotated with the requirement it must fulfill, so drafts stay aligned to intent.
Related MCP server: MinerU Document Explorer
Installation
npm install -g mcp-document-architect
# or run directly without installing:
npx mcp-document-architectClient configuration
Add to your MCP client config (e.g. Claude Code .mcp.json or Cursor mcp.json):
{
"mcpServers": {
"document-architect": {
"command": "npx",
"args": ["mcp-document-architect"]
}
}
}Tools
Tool | Description | Key args |
| List documents in the paper trail |
|
| Read a document by path |
|
| Create/overwrite a document (guarded, UTF-8) |
|
| Case-insensitive ranked keyword search |
|
| Mission Script → structured outline + scaffolds |
|
Environment variables
Variable | Default | Purpose |
|
| Root directory of the document store |
Paths are resolved against the document root; any path that escapes the root is rejected (traversal-guarded).
Production adapters
The backend is intentionally swappable. src/document-store.ts defines a single
interface (list / read / write / search / stat) that a Google Workspace,
Office 365, or SharePoint adapter can implement in place of the local filesystem
store. Similarly, src/drafter.ts emits a normalized outline that an LLM provider
can expand into full prose.
Drafting a Mission Script
A mission script is plain text; the engine heuristically parses outcome, scope,
constraints, and verification lines, then emits a deterministic outline with
scaffolds and alignment notes.
Example:
Outcome: Ship the Q3 revenue report.
Scope: Q3 actuals, regional breakdown, forecast deltas.
Constraints: Accounting sign-off required; max 5 pages.
Verification: Numbers reconcile to the general ledger.License & Attribution
MIT — Copyright (c) 2026 Jean Machuca (see LICENSE).
This server implements concepts from the book Vibe Leading The AI: The Corporate Race Against Machines by Jean Machuca (ISBN 9798252505008, © 2026 Jean Machuca). The book is copyrighted commercial material; this repository does not republish its text. Buy the book at https://vibeleading.org or https://a.co/d/04L5YatK. Author website: jeanmachuca.com · Support on GitHub Sponsors: github.com/sponsors/jeanmachuca. See NOTICE.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX documents via MCP tools for retrieval, document navigation, and ingestion.70616MIT
- FlicenseNot gradedqualityAmaintenanceProvides organizational memory for AI agents, enabling shared company memory, decision recall, artifact management, approval review, task delegation, and initiative tracking.2
- AlicenseNot gradedqualityAmaintenanceProvides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.32Apache 2.0
Related MCP Connectors
Persistent docs and memory for AI agents — read, write, organize & search a shared workspace.
Shared, permission-aware company context for AI agents, with provenance, approvals and audit.
End-to-end agent-managed company brain. Docs, diagrams, plans, Knowledge Graph. Lean & affordable.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/VibeLeading/mcp-document-architect'
If you have feedback or need assistance with the MCP directory API, please join our Discord server