About Gliner2 MCP
Gliner2 MCP is an MCP server published by mrorigo in the Developer Tools category: gLiNER2 MCP gives your agent three practical superpowers: extract entities, classify meaning, and produce structured JSON from plain language. It has been installed 0 times through Conduid.
The repository has 1 stars and 0 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx gliner2-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
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
extract_entities(labels, text=None, filename=None)returns a mapping of label to entity spans.classify_text(schema, text=None, filename=None)returns a mapping of field name to chosen label or list of labels.extract_json(schema, text=None, filename=None)returns a JSON object that matches the provided schema.
For all tools, provide exactly one of text or filename:
text: inline input text.filename: UTF-8 text file path relative to the current working directory. Absolute paths and paths resolving outside the current working directory are rejected.
Legacy camelCase aliases are still available for compatibility:
extractEntities, classifyText, extractJson.
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.
README mirrored from the source repository yesterday. The original is authoritative.