Labellerr MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Log level for debugging (e.g., debug) | info |
| LABELLERR_API_KEY | Yes | Your Labellerr API key | |
| LABELLERR_CLIENT_ID | Yes | Your Labellerr client ID | |
| LABELLERR_API_SECRET | Yes | Your Labellerr API secret |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
| resources | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| project_createB | Create a new annotation project with dataset and guidelines |
| project_listA | List all projects for the client |
| project_getA | Get detailed information about a specific project |
| project_update_rotationB | Update rotation configuration for a project |
| dataset_createB | Create a new dataset |
| dataset_upload_filesC | Upload individual files to a dataset |
| dataset_upload_folderB | Upload all files from a folder to a dataset |
| dataset_listA | List all datasets (linked and unlinked) |
| dataset_getC | Get detailed information about a dataset |
| annotation_upload_preannotationsA | Upload pre-annotations to a project (synchronous) |
| annotation_upload_preannotations_asyncB | Upload pre-annotations to a project (asynchronous) |
| annotation_exportC | Create an export of project annotations |
| annotation_check_export_statusC | Check the status of export jobs |
| annotation_download_exportA | Get download URL for a completed export |
| monitor_job_statusC | Monitor the status of a background job |
| monitor_project_progressC | Get progress statistics for a project |
| monitor_active_operationsA | List all active operations and their status |
| monitor_system_healthA | Check the health and status of the MCP server |
| query_project_statisticsC | Get detailed statistics for a project |
| query_dataset_infoC | Get detailed information about a dataset |
| query_operation_historyC | Query the history of operations performed |
| query_search_projectsB | Search for projects by name or type |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Operation History | History of all operations performed |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/1sarthakbhardwaj/labellerr-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server