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anythingllm-mcp

anythingllm-mcp

by DezGDNY

anythingllm-mcp

A small, safe helper that lets an AI assistant (like Claude) search and ask questions about your own documents — the ones you've stored in AnythingLLM.

New to this? No problem. This README explains everything step by step and defines the jargon as it comes up. If you can install an app and copy-paste a few lines, you can use this.


The 30-second version

  • AnythingLLM is an app that stores your documents and lets you chat with them ("What does my handbook say about vacation days?").

  • MCP (Model Context Protocol) is a standard way for AI assistants to use outside tools. Think of it as a power strip: an assistant plugs into it and suddenly has new abilities.

  • This project is one of those plugs. Once connected, your AI assistant can ask your AnythingLLM documents questions and get answers — without you copying and pasting anything.

It is read-only: it can look things up, but it can never change, delete, or mess up your AnythingLLM data. More on that below.


Related MCP server: AnythingLLM MCP Server

What it can do

Once connected, your assistant gains four abilities ("tools"):

Tool

In plain English

check_auth

"Am I connected to AnythingLLM correctly?"

list_workspaces

"What collections of documents do I have?" (AnythingLLM calls these workspaces)

list_documents

"What files are inside this workspace?"

query_workspace

"Answer this question using the documents in this workspace." This is the main one.

That's the whole toolbox. Nothing that can write, delete, or reconfigure anything.


Before you start, you need three things

  1. Node.js, version 18 or newer. Node is the program that runs this helper. Check if you already have it by opening a terminal and typing:

    node --version

    If you see something like v20.11.0, you're set. If you get an error, install Node here (the "LTS" version is the safe choice).

  2. AnythingLLM up and running, and reachable in your browser (for many people that's http://localhost:3001).

  3. An AnythingLLM API key. An API key is like a password that lets programs talk to AnythingLLM on your behalf. To get one: open AnythingLLM → Settings → Tools → Developer API → create a key, and copy it somewhere safe. You'll paste it into your setup in a moment.

    🔒 Treat this key like a password. Don't post it publicly or commit it to GitHub. (This tool is built so the key never has to appear in your chat.)


Install it

In a terminal, download the project and install the pieces it needs:

git clone https://github.com/DezGDNY/anythingllm-mcp.git
cd anythingllm-mcp
npm install
  • git clone copies the project onto your computer.

  • npm install downloads the small libraries this project depends on. (npm comes with Node.) You'll see it create a node_modules folder — that's normal.

That's it — there's nothing to "build." The helper is ready to run.


Connect it to your AI assistant

An MCP helper doesn't run on its own; your assistant starts it when needed. You tell the assistant about it by adding a few lines to its configuration file. For example, in Claude Code (.mcp.json) or Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "anythingllm": {
      "command": "node",
      "args": ["/full/path/to/anythingllm-mcp/index.js"],
      "env": {
        "ANYTHINGLLM_BASE_URL": "http://localhost:3001",
        "ANYTHINGLLM_API_KEY": "paste-your-key-here"
      }
    }
  }
}

What each part means:

  • command / args — how to start the helper: run node on this project's index.js. Use the full path to the file (e.g. on Windows, C:\\Users\\you\\anythingllm-mcp\\index.js — note the double backslashes in JSON).

  • env — settings passed to the helper when it starts:

    • ANYTHINGLLM_BASE_URL — the web address where your AnythingLLM lives. Leave it as http://localhost:3001 unless yours is elsewhere. (You don't need to add /api/v1; the helper adds that for you.)

    • ANYTHINGLLM_API_KEY — the key you copied earlier.

Save the file and restart your assistant so it picks up the new helper.

Tip: putting the key in the env block here means it's handled by your assistant, not typed into a chat. If you'd rather not keep the key in this file at all, you can set it as an environment variable on your system instead — the helper reads ANYTHINGLLM_API_KEY from wherever it's provided.


Try it

Ask your assistant something like:

"Use the anythingllm tools to ask my Project Docs workspace what our refund policy is, and show me which documents the answer came from."

Behind the scenes it calls query_workspace, and you get an answer grounded in your actual documents, with the sources listed.

By default, questions run in query mode, which means the answer comes only from your documents (it won't make things up from general knowledge). If you'd rather let the assistant blend in its own knowledge, ask it to use chat mode instead.


If something doesn't work

"Not authenticated" / auth errors — the API key is missing or wrong. Double- check you copied the whole key, and that ANYTHINGLLM_BASE_URL points at your actual AnythingLLM address.

"Failed to connect" in your assistant — the helper couldn't start. The two usual causes:

  • The assistant can't find node. Some assistants start helpers with a stripped-down environment — a bare setup where the system doesn't know where node is installed. If you hit this, point command at the full path to your node program instead of just "node" (find it by running where node on Windows or which node on macOS/Linux).

  • The key wasn't passed in. Make sure the env block above is filled in.

Want to see what actually happened? Start the helper by hand to read its messages:

node /full/path/to/anythingllm-mcp/index.js

If it prints anythingllm-mcp ready … and then seems to "hang," that's actually success — it's running and waiting for your assistant to talk to it. Press Ctrl+C to stop. If it prints an error instead, that error tells you what's wrong.


Is it safe? (Yes — here's why)

This helper can only read and ask questions. On purpose, it has no tools that create, delete, or change anything in AnythingLLM — no deleting workspaces, no editing documents, no changing settings. So even if an AI assistant went completely haywire, the worst it could do through this helper is look things up. Your data is safe.

It also keeps no secrets in the code. Your address and key come from the settings you provide, never from this file — which is why it's safe to share and publish.


How it works (optional, for the curious)

It's one small file (index.js). When your assistant starts it, the helper:

  1. reads your AnythingLLM address and key from the environment,

  2. waits for the assistant to ask for one of the four tools,

  3. makes a normal web request to AnythingLLM's API, and

  4. hands the answer back.

It uses the official MCP SDK and Node's built-in networking — no heavy dependencies.


License

MIT — free to use, change, and share. Please keep the copyright line.

Available Tools

4 tools
check_authCheck AnythingLLM authA

Verify the configured API key can reach AnythingLLM. Returns whether authentication succeeded.

NameRequiredDescriptionDefault

No parameters

list_documentsList documents in a workspaceB

List the documents currently embedded (searchable) in a workspace. Accepts a workspace name or slug.

NameRequiredDescriptionDefault
workspaceYesWorkspace name or slug (from list_workspaces).
list_workspacesList workspacesA

List all AnythingLLM workspaces with their display name and slug. Use a name or slug from here with the other tools.

NameRequiredDescriptionDefault

No parameters

query_workspaceQuery a workspace (RAG)A

Ask a natural-language question answered from a workspace's embedded documents. Default 'query' mode answers ONLY from the documents (grounded, cites sources); 'chat' mode also allows the model's general knowledge. Read-only.

NameRequiredDescriptionDefault
modeNo'query' = answer only from the docs (default); 'chat' = also use general knowledge.query
questionYesThe question to ask.
workspaceYesWorkspace name or slug (from list_workspaces).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 4 tool updatesv0.1.0
    • First observedcheck_auth
    • First observedlist_documents
    • First observedlist_workspaces
    • First observedquery_workspace

TDQS

A4.2/5.0

Scored across 4 tools

Disambiguation5/5

Each tool maps to a distinct resource and action: authentication status, workspace listing, document inventory, and document-grounded querying. There is no functional overlap; list_documents and query_workspace are clearly different in purpose.

Naming Consistency5/5

All four tool names follow the same lower_snake_case verb_noun pattern: check_auth, list_workspaces, list_documents, query_workspace. The naming makes both the action and target predictable.

Tool Count5/5

Four tools is well-scoped for a read/query-focused AnythingLLM server. Each tool covers a necessary step in the workflow with no redundant utilities.

Completeness5/5

For the apparent read-only retrieval scope, the workflow is complete: authenticate, discover workspaces, inspect embedded documents, and ask grounded questions. Write operations like workspace or document management are absent but appear intentionally outside this tool set's purpose.

Maintenance

ActivityStale
ResponsivenessNo recent community issues

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