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Description from the maker (original English)
Agentic search over your Dewey document collections from any MCP-compatible client.
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Pick the AI app you use, then copy the settings.
DEWEY_API_KEY, DEWEY_COLLECTION_ID, DEWEY_API_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
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Works in Claude on the web, desktop and mobile:
https://mcp.meetdewey.com/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"dewey": {
"command": "npx",
"args": [
"-y",
"@meetdewey/mcp"
],
"env": {
"DEWEY_API_KEY": "your-value",
"DEWEY_COLLECTION_ID": "your-value",
"DEWEY_API_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http dewey https://mcp.meetdewey.com/mcpclaude mcp add dewey --env DEWEY_API_KEY=your-value --env DEWEY_COLLECTION_ID=your-value --env DEWEY_API_URL=your-value -- npx -y @meetdewey/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dewey": {
"url": "https://mcp.meetdewey.com/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dewey": {
"command": "npx",
"args": [
"-y",
"@meetdewey/mcp"
],
"env": {
"DEWEY_API_KEY": "your-value",
"DEWEY_COLLECTION_ID": "your-value",
"DEWEY_API_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"dewey": {
"type": "http",
"url": "https://mcp.meetdewey.com/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"dewey": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@meetdewey/mcp"
],
"env": {
"DEWEY_API_KEY": "your-value",
"DEWEY_COLLECTION_ID": "your-value",
"DEWEY_API_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.meetdewey.com/mcpMenu names can differ slightly by plan and over time.
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DEWEY_COLLECTION_ID envDEWEY_API_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain meetdewey.com (the registry checks domain ownership)
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We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: DEWEY_API_KEY
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.5.4) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
Add to your claude_desktop_config.json (or equivalent MCP client config):
{
"mcpServers": { "dewey": { "command": "/bin/sh", "args": ["-lc", "npx -y @meetdewey/mcp"], "env": { "DEWEY_API_KEY": "dwy_live_...", "DEWEY_COLLECTION_ID": "..." } } } }
Note for Windows users: replace
"command": "/bin/sh"and"args": ["-lc", "npx -y @meetdewey/mcp"]with"command": "npx"and"args": ["-y", "@meetdewey/mcp"]— the login-shell wrapper is only needed on macOS/Linux to pick up Homebrew and nvm PATH entries that Claude Desktop doesn't inherit.
| 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) |
| Tool | Description |
|---|---|
dewey_list_collections | List all collections in the project, including description and research instructions when set |
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_get_section | Fetch the full Markdown content of a section by ID |
| Tool | Description |
|---|---|
dewey_list_documents | List documents in a collection with their processing status |
dewey_get_document_sections | List all sections in a document (table of contents with heading levels and IDs) |
dewey_get_document_markdown | Fetch the full converted Markdown content of a document |
dewey_retry_document | Retry a failed document — clears error state and re-queues processing |
dewey_delete_document | Permanently delete a document and all its derived data |
| Tool | Description |
|---|---|
dewey_list_claims | List extracted factual claims from a collection or specific document, filterable by importance (1–5) |
dewey_list_contradictions | List detected contradictions — clusters of conflicting claims with explanations and suggested resolutions |
dewey_detect_contradictions | Trigger an async contradiction detection run across all claims in a collection |
dewey_get_contradiction_run | Get the status and stats of the latest contradiction detection run (use to poll after dewey_detect_contradictions) |
dewey_resolve_contradiction | Apply a resolution instruction to a contradiction or dismiss it |
| Tool | Description |
|---|---|
dewey_detect_duplicates | Trigger an async deduplication run — identifies near-duplicate documents by measuring shared content across chunks and marks one per cluster as canonical |
dewey_get_duplicate_run | Get the status and stats of the latest deduplication run (use to poll after dewey_detect_duplicates) |
dewey_list_duplicate_groups | List near-duplicate groups with canonical + members and coverage percentages |
dewey_promote_duplicate_canonical | Promote a different member to canonical; old canonical becomes near_duplicate |
dewey_disband_duplicate_group | Disband a group; former members rejoin retrieval as distinct documents |
Non-canonical documents are excluded from retrieval and contradiction detection. Requires enableDeduplication: true on the collection (set via dewey_update_collection or the Dewey dashboard).
| Tool | Description |
|---|---|
dewey_get_collection_stats | Get document count, storage, section/chunk/claim counts, and processing status breakdown |
dewey_update_collection | Update collection name, description, research instructions, visibility, and feature flags |
dewey_recompute_summaries | Re-run AI section summarization across all documents (e.g. after changing the LLM model) |
dewey_recompute_captions | Re-run AI captioning for all images and tables across all documents |
dewey_delete_collection | Permanently delete a collection and all its data |
Collections can have natural-language instructions that are automatically injected into the research system prompt — for example, noting units, preferred sources, or how to handle missing information. They can be set in the Dewey dashboard, via the API, or directly through dewey_update_collection. When dewey_resolve_contradiction is used to apply a resolution, the suggested instruction is also appended here automatically.
A typical read-only research workflow:
dewey_list_collections — discover available collections and understand their purposedewey_scan_sections — quickly explore document structure to identify relevant sectionsdewey_get_section — load full content of a specific sectiondewey_search — retrieve the most relevant chunks for a focused questiondewey_research — run a full agentic research query for questions that need multi-step reasoningFor deeper analysis and curation:
dewey_get_collection_stats — assess how much content has been processeddewey_list_claims — surface the most important facts across documentsdewey_list_contradictions — identify where documents disagreedewey_resolve_contradiction — apply or dismiss each contradiction, updating collection instructions automaticallyMIT