@contextable/mcp

@contextable/mcp

Contextable-me

Stores and retrieves conversation context, project artifacts, and memories across AI sessions using local SQLite or cloud storage. Enables full-text search through your accumulated knowledge base.

A persistent AI memory server that enables storage and retrieval of context and project artifacts across conversations. It features full-text search, version history, and automatic content chunking using local SQLite or hosted cloud storage.

139 views1Local (stdio)

What it does

  • Store conversation context and project artifacts
  • Search stored memories with full-text search
  • Track version history of stored content
  • Chunk large content automatically
  • Retrieve context across different AI sessions

Best for

Maintaining project context across multiple AI conversationsBuilding a searchable knowledge base from AI interactionsTeams sharing project context and artifacts
Works with local SQLite or cloud storageAutomatic content chunkingPersistent across sessions

About @contextable/mcp

@contextable/mcp is a community-built MCP server published by Contextable-me that provides AI assistants with tools and capabilities via the Model Context Protocol. Persistent AI memory server for contextual storage and artifacts - full-text search, version history, and automatic cont It is categorized under ai ml, productivity.

How to install

You can install @contextable/mcp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

@contextable/mcp is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

@contextable/mcp

Give your AI a memory. Works with Claude Desktop and any MCP-compatible client.

Quick Start (30 seconds)

Add to your Claude Desktop config:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "contextable": {
      "command": "npx",
      "args": ["@contextable/mcp"]
    }
  }
}

Restart Claude Desktop. Done.

Now ask Claude: "Create a project called My App to track my development decisions"

What You Can Do

Save context that persists across conversations:

  • "Save this architecture decision to the project"
  • "Remember this API design for later"
  • "Store this bug investigation so I don't forget"

Find anything instantly:

  • "Search for authentication"
  • "What did we decide about the database?"
  • "Load all security-related artifacts"

Pick up where you left off:

  • "Resume my project"
  • "Show me the project summary"
  • "What were we working on?"

Import your chat history (NEW):

  • "Analyze my ChatGPT export at ~/Downloads/chatgpt-export.zip"
  • "Import the 'React Development' project from my chat history"
  • "What projects can you detect from my Claude conversations?"

Features

FeatureDescription
ProjectsOrganize context by project or topic
ArtifactsSave decisions, code snippets, docs, conversations
Full-Text SearchFind anything across all projects
Version HistoryEvery change tracked, rollback anytime
Auto-ChunkingLarge content automatically split
Topic ClusteringAuto-detect themes across artifacts
Chat ImportImport from ChatGPT, Claude, Gemini exports

All 15 Tools

Projects

  • project_save - Create or update a project
  • project_list - List all projects
  • project_resume - Load project with summaries
  • project_analysis_get - Get AI-generated insights

Artifacts

  • artifact_save - Save content (auto-chunks large files)
  • artifact_list - List with size estimates
  • artifact_get - Load full content
  • artifact_delete - Archive (recoverable)
  • artifact_restore - Restore archived
  • artifact_archived - List archived items
  • artifact_versions - View history
  • artifact_rollback - Restore previous version

Search

  • search - Full-text search across everything

Import (NEW in v0.2.0)

  • import_analyze - Analyze chat exports from ChatGPT, Claude, or Gemini
  • import_seed - Create projects from analyzed chat history

Your Data

Everything is stored locally in SQLite:

~/.contextable/data.db

No account. No cloud. No tracking. Your data stays on your machine.


Want More?

Contextable Cloud adds:

FeatureLocalCloud
Claude Desktop
ChatGPT-
Claude.ai (web)-
Sync across devices-
AI analysis & insights-
Team sharing-Coming soon

Try Contextable Cloud →


Configuration

Environment Variables

VariableDefaultDescription
CONTEXTABLE_DATA_DIR~/.contextableData directory
CONTEXTABLE_DB_PATH~/.contextable/data.dbSQLite database path
CONTEXTABLE_LOG_LEVELinfoLogging: debug, info, warn, error

Custom Database Location

{
  "mcpServers": {
    "contextable": {
      "command": "npx",
      "args": ["@contextable/mcp"],
      "env": {
        "CONTEXTABLE_DB_PATH": "/path/to/my/data.db"
      }
    }
  }
}

HTTP Mode (Advanced)

For web-based MCP clients, run as HTTP server:

npx @contextable/mcp --sse --port 3000

Endpoints:

  • GET /health - Health check
  • POST /mcp - MCP messages (JSON-RPC)

Programmatic Usage

import { SQLiteAdapter } from '@contextable/mcp';

const storage = new SQLiteAdapter({ path: './my-context.db' });
await storage.initialize();

// Create a project
const project = await storage.createProject({
  name: 'My Project',
  description: 'Project description',
});

// Save an artifact
const artifact = await storage.createArtifact({
  projectId: project.id,
  title: 'Design Decision',
  artifactType: 'decision',
  content: '# We chose PostgreSQL because...',
});

// Search
const results = await storage.search('postgresql');

await storage.close();

Development

git clone https://github.com/Contextable-me/mcp.git
cd mcp
npm install
npm run build
npm test

License

Apache 2.0 - See LICENSE

Links

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