Mquery

MQuery is an HTTP API server for mining language corpora using Manatee-Open engine. Unlike other Manatee-based solutions, MQuery uses more fine-tuned C bindings without relying on SWIG, and naturally leverages a worker queue architecture for efficient query processing and scalability. It also ships an MCP server (see MCP Support) so LLM agents can query corpora directly.

Running with Docker (Easiest Method)

The simplest way to run MQuery is using Docker Compose, which automatically sets up the server, worker, and Redis:

Prerequisites

• Docker
• Docker Compose

Quick Start

1. Clone the repository:

   git clone https://github.com/czcorpus/mquery.git
   cd mquery
   

2. Create a Docker configuration file conf-docker.json based on conf.sample.json:

   cp conf.sample.json conf-docker.json
   

3. Edit conf-docker.json to match your setup:

   • Set listenAddress to 0.0.0.0 (to accept connections from outside the container)
   • Set listenPort to 8989
   • Set Redis host to redis (the service name in docker-compose.yml)
   • Configure your corpora paths:
     • registryDir: /var/lib/manatee/registry
     • splitCorporaDir: /var/lib/manatee/split

4. Place your corpus data and registry files in directories that will be mounted:

   • The docker-compose setup creates volumes for corpus data at /var/lib/manatee
   • You can modify the volume mounts in docker-compose.yml to point to your existing corpus directories

5. Start the services:

   docker-compose up -d
   

6. Access the API at http://localhost:8989

Docker Architecture

The Docker Compose setup includes:

• mquery-server: HTTP API server (port 8989)
• mquery-worker: Background worker for processing corpus queries
• redis: Redis database for job queuing and results caching

Managing the Services

• View logs: docker-compose logs -f
• Stop services: docker-compose down
• Rebuild after code changes: docker-compose up -d --build

Manual Installation

If you prefer to install MQuery manually without Docker:

Requirements

• a working Linux server with installed Manatee-open library
• Redis database
• Go language compiler and tools
• (optional) an HTTP proxy server (Nginx, Apache, ...)

How to install

1. Install Go language environment, either via a package manager or manually from Go download page
   1. make sure /usr/local/go/bin and ~/go/bin are in your $PATH so you can run any installed Go tools without specifying a full path
2. Install Manatee-open from the download page. No specific language bindings are required.
   1. configure --with-pcre --disable-python && make && sudo make install && sudo ldconfig
3. Get MQuery sources (git clone --depth 1 https://github.com/czcorpus/mquery.git)
4. Run ./configure
5. Run make
6. Run make install
   • the application will be installed in /opt/mquery
   • for data and registry, /var/opt/corpora/data and /var/opt/corpora/registry directories will be created
   • systemd services mquery-server.service and mquery-worker-all.target will be created
7. Copy at least one corpus and its configuration (registry) into respective directories (/var/opt/corpora/data, /var/opt/corpora/registry)
8. Update corpora entries in /opt/mquery/conf.json file to match your installed corpora
9. start the service:
   • systemctl start mquery-server
   • systemctl start mquery-worker-all.target

Authentication

MQuery supports optional token-based authentication via a configurable HTTP header. When enabled, every request must include the header with a valid token.

Relevant configuration fields in conf.json:

{
  "authHeaderName": "X-API-Key",
  "authTokens": [
    "sha256:a3f1c8d2...",
    "sha256:9e107d9d..."
  ],
  "localNetworks": [
    "127.0.0.0/8",
    "192.168.1.0/24"
  ],
  "knownProxies": [
    "192.168.1.10"
  ]
}

Tokens in authTokens can be stored either as plaintext (not recommended) or as SHA-256 hashes prefixed with sha256: (recommended).

Generating a hashed token

1. Choose a secret token (use a long random string):

   openssl rand -hex 32
   # example output: 4a7b9c2e1f3d8a6b...
   

2. Hash it for storage in conf.json:

   echo -n "your-secret-token" | sha256sum | awk '{print "sha256:" $1}'
   # output: sha256:a3f1c8d2...
   

3. Paste the sha256:... value into authTokens in your config.

Clients send the original (unhashed) token in the configured header:

X-API-Key: your-secret-token

Requests from IPs within any localNetworks CIDR range are exempt from auth token checks, provided the source IP is not also listed in knownProxies. If localNetworks is not set, only the exact listenAddress is treated as local.

If a reverse proxy shares an IP with a local network (e.g. runs on the same host), add its IP to knownProxies to ensure its forwarded requests still require auth.

API

For the most recent API Docs, please see https://korpus.cz/mquery-test/docs/

MCP Support

MQuery ships a separate mqmcp binary (cmd/mqmcp) exposing corpus querying as MCP tools, so LLM agents can call the MQuery API directly. It acts as a thin client that translates MCP tool calls into HTTP requests against a running MQuery API instance.

Available tools:

• corpus_info,
• concordance,
• term_frequency,
• freqs,
• collocations,
• text_types,
• text_types_overview,
• text_types_avail_values.

It is built alongside the main binary by make build (output: ./mqmcp) and run in one of two modes, selected via the MODE env var:

• stdio (default) - for local MCP clients (e.g. desktop AI assistants); talks to https://www.korpus.cz/mquery unless overridden
• http - runs a Streamable HTTP MCP server for shared/remote deployments

Configuration can be provided via a JSON config file (CONF_PATH env var) and/or environment variables:

• MQUERY_API_URL - MQuery API base URL (required in http mode)
• MQUERY_API_HEADER_<NAME> - forwards a header to the MQuery API, e.g. MQUERY_API_HEADER_X_API_KEY=secret sends X-Api-Key: secret (useful for the token-based authentication described above)
• LISTEN_ADDRESS - listen address (required in http mode)
• LOG_PATH / LOG_LEVEL - logging destination and level (stdio mode logs to a file by default; set LOG_PATH=stderr to log to stderr instead)

Example config file:

{
  "apiUrl": "http://localhost:8989",
  "apiHeaders": {
    "X-Api-Key": "your-secret-token"
  },
  "server": {
    "listenAddress": "0.0.0.0:8990"
  },
  "logging": {
    "level": "info"
  }
}