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.
The repository has 4 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 before depending on it in production.
Install
git clone https://github.com/mrorigo/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.
Ask AI
Ask AI about Gliner2 MCP
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
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 fetched from the repository 5 days ago. The original is authoritative.