context-studio

context-studio

MCP server for Context Studio, a file-based CMS for governed marketing documents and searchable collections, enabling retrieval and management of AI context via tools like scopes, document reads, and collection search.

Category
Visit Server

README

Context Studio

Context Studio is a file-based context CMS for governed marketing Documents plus searchable supporting Collections. We use plain folders, Markdown, YAML frontmatter, SQLite, and Git so teams can inspect, edit, validate, and retrieve AI context without a heavy knowledge-platform stack.

The system is intentionally simple:

  • Documents are OKF-style Markdown records in a normal folder tree.
  • Collections are source-file buckets indexed locally for cited retrieval.
  • Git provides history, diffs, restore, and backup.
  • SQLite stores users, audit events, and Collection indexes.
  • FastAPI serves the API, MCP endpoint, and production CMS bundle.
  • Astro provides the browser UI.
  • Docker/Render can host the demo as one web service.

What It Does

  • Stores governed marketing context as Markdown files.
  • Uses folder metadata and document frontmatter for scope, type, status, and criticality.
  • Keeps curated Documents separate from searchable supporting Collections.
  • Avoids semantic search over governed Documents; scoped retrieval is deterministic.
  • Uses Collection search only when a surfaced Document or folder points to that Collection.
  • Exposes MCP tools for scopes, types, folders, indexes, logs, document metadata, document reads, Collection search, source reads, and validation.
  • Provides a browser MCP Test Tool so we can test agent-facing retrieval behavior directly.

Context Solution Guide

MARKETING_CONTEXT_GUIDE.md explains the larger marketing-team context model behind this prototype: how context should be structured, governed, retrieved, and separated from skills and outcome specs.

Try the Demo

Hosted demo:

https://context-studio-demo.onrender.com/

Demo logins:

admin / admin123
editor / editor123
viewer / viewer123

The hosted demo uses synthetic data. Edits are useful for testing but should be treated as ephemeral on the free Render service.

Run It Yourself

Local setup:

docs/getting-started.md

Render deployment:

docs/deploy-to-render.md

Screenshots

Documents

Context Studio Documents

Collections

Context Studio Collections

MCP Test Tool

Context Studio MCP Test Tool

Demo Data

The tracked demo/ folder contains synthetic demo assets:

  • demo/context_repo/ contains governed marketing Documents for the Context Studio demo brand.
  • demo/sample_sources/ contains synthetic transcript files for Collection seeding.
  • demo/screenshots/ contains README screenshots.

Editable runtime data is ignored by Git and lives under .local/ by default.

Reset local demo data:

uv run python run.py reset-demo

Tests

uv run pytest
cd cms && npm run build
uv run python run.py validate

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured