MCP server exposing GLiNER2 entity extraction, classification, and JSON parsing.
Project description
gliner2-mcp
MCP server that exposes GLiNER2 entity extraction, classification, and JSON extraction as tools.
Quickstart
- Install dependencies:
uv sync
- Run the MCP server:
uv run gliner2-mcp
Environment configuration
This server is configured via environment variables (optionally loaded from .env).
| Variable | Default | Description |
|---|---|---|
GLINER2_MODEL_ID |
fastino/gliner2-base-v1 |
GLiNER2 model id or path. |
GLINER2_DEVICE |
empty | Device override passed to from_pretrained when supported. |
GLINER2_MAX_TEXT_LENGTH |
0 |
Maximum input length. 0 disables the limit. |
GLINER2_MCP_LOG_LEVEL |
INFO |
Log level for server logging. |
GLINER2_MCP_ENV_FILE |
empty | Path to an env file to load before reading the variables above. |
If GLINER2_MCP_ENV_FILE is not set, the server will load .env from the working directory when it exists.
MCP tools
extractEntities(text, labels)returns a mapping of label to entity spans.classifyText(text, schema)returns a mapping of field name to chosen label or list of labels.extractJson(text, schema)returns a JSON object that matches the provided schema.
Available Models
GLiNER2 family models on Hugging Face
Development
uv sync --dev
uv run ruff check .
Testing
Run the default test suite (unit + contract tests):
uv sync --extra dev
uv run --extra dev pytest -q
Run real-model integration tests (downloads/loads actual GLiNER2 weights):
GLINER2_MCP_RUN_INTEGRATION=1 uv run --extra dev pytest -q -m integration
Recommended pre-release check:
uv run --extra dev pytest -q
GLINER2_MCP_RUN_INTEGRATION=1 uv run --extra dev pytest -q -m integration
License
MIT. See LICENSE.
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