Dewey
Enables searching and researching document collections through hybrid semantic search and agentic research queries with grounded, cited answers. It allows users to list collections, scan document sections, and retrieve full Markdown content via MCP-compatible agents.
README
<p align="center"> <a href="https://meetdewey.com"> <img src="./logo.png" alt="Dewey" width="120" /> </a> </p>
@meetdewey/mcp
MCP server for Dewey — search and research your document collections from Claude, Cursor, and any MCP-compatible agent. See the full API reference for details.
Installation
Add to your claude_desktop_config.json (or equivalent MCP client config):
{
"mcpServers": {
"dewey": {
"command": "npx",
"args": ["-y", "@meetdewey/mcp"],
"env": {
"DEWEY_API_KEY": "dwy_live_...",
"DEWEY_COLLECTION_ID": "..."
}
}
}
}
Environment variables
| Variable | Required | Description |
|---|---|---|
DEWEY_API_KEY |
Yes | Your Dewey project API key |
DEWEY_COLLECTION_ID |
No | Default collection ID. When set, tools that accept collection_id will fall back to this value. |
DEWEY_API_URL |
No | Override the API base URL (default: https://api.meetdewey.com/v1) |
Available tools
| Tool | Description |
|---|---|
dewey_list_collections |
List all collections in the project |
dewey_search |
Hybrid semantic + keyword search over chunk content |
dewey_scan_sections |
Lightweight search over section titles and summaries |
dewey_research |
Agentic research query with configurable depth — returns a grounded, cited answer |
dewey_list_documents |
List documents in a collection with their processing status |
dewey_get_section |
Fetch the full Markdown content of a section by ID |
License
MIT
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.