GitHub repository for Unstructured MCP Hackathon.
Unstructured API For Research Paper Data Processing MCP server exists for a simple reason — assistants are far more useful when they can act on Unstructured API For Research Paper Data Processing directly instead of describing what you should do. GitHub repository for Unstructured MCP Hackathon.
By leveraging the Unstructured API, this server facilitates easy access to a set of powerful tools that extract meaningful information from research papers, which can then be used for fine-tuning a language model (LLM) to reduce the literature review time for researchers.
Once Unstructured API For Research Paper Data Processing is connected, these are the calls the assistant has available:
list_sources — Lists available sources from the Unstructured APIget_source_info — Get detailed information about a specific source connectorcreate_gdrive_source — Create a google drive source connectordelete_gdrive_source — Delete a source connector by source idlist_destinations — Lists available destinations from the Unstructured APIget_destination_info — Get detailed info about a specific destination connector. Currently, we have s3/weaviate/astra/neo4j/mongo DB (more to come!)create_mongodb_destination — Create a mongodb destination connector by paramsupdate_mongodb_destination — Update an existing mongodb destination connector by destination iddelete_mongodb_destination — Delete a mongodb destination connector by destination idlist_workflows — Lists workflows from the Unstructured APIget_workflow_info — Get detailed information about a specific workflowcreate_workflow — Create a new workflow with source, destination id, etcSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
You will need 2 environment variables: UNSTRUCTURED_API_KEY, GOOGLEDRIVE_SERVICE_ACCOUNT_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Before you can begin working with the UNS_MCP project, make sure you have the following setup: 1. UNSTRUCTURED_API_KEY - Get your API key from the Unstructured platform to access their API for document processing. 2. GOOGLEDRIVE_SERVICE_ACCOUNT_KEY - Set up a Google Cloud project and create a service account to enable access to Google Drive for reading
This sits in the database access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Unstructured API For Research Paper Data Processing's toolset — list_sources, get_source_info, create_gdrive_source and 11 more — is a fair guide to whether it matches your workflow. It is maintained by HeetVekariya; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Unstructured API For Research Paper Data Processing's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| list_sources | Lists available sources from the Unstructured API. |
| get_source_info | Get detailed information about a specific source connector. |
| create_gdrive_source | Create a google drive source connector. |
| delete_gdrive_source | Delete a source connector by source id. |
| list_destinations | Lists available destinations from the Unstructured API. |
| get_destination_info | Get detailed info about a specific destination connector. Currently, we have s3/weaviate/astra/neo4j/mongo DB (more to come!) |
| create_mongodb_destination | Create a mongodb destination connector by params. |
| update_mongodb_destination | Update an existing mongodb destination connector by destination id. |
| delete_mongodb_destination | Delete a mongodb destination connector by destination id. |
| list_workflows | Lists workflows from the Unstructured API. |
| get_workflow_info | Get detailed information about a specific workflow. |
| create_workflow | Create a new workflow with source, destination id, etc. |
| run_workflow | Run a specific workflow with workflow id |
| update_workflow | Update an existing workflow by params. |
2. In that file add:
```bash
{
"mcpServers":
{
"UNS_MCP":
{
"command": "ABSOLUTE/PATH/TO/.local/bin/uv",
"args":
[
"--directory",
"ABSOLUTE/PATH/TO/YOUR-UNS-MCP-REPO/uns_mcp",
"run",
"server.py"
],
"env":
[
"UNSTRUCTURED_API_KEY":"<your key>"
],
"disabled": false
}
}
}Configuration as documented by the project. Restart the client after saving.
Before you can begin working with the UNS_MCP project, make sure you have the following setup: 1. UNSTRUCTURED_API_KEY - Get your API key from the Unstructured platform to access their API for document processing. 2. GOOGLEDRIVE_SERVICE_ACCOUNT_KEY - Set up a Google Cloud project and create a service account to enable access to Google Drive for reading
| Variable | Description | Required |
|---|---|---|
| UNSTRUCTURED_API_KEY | Credential the server authenticates with. | Yes |
| GOOGLEDRIVE_SERVICE_ACCOUNT_KEY | Credential the server authenticates with. | Yes |
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