vector_search_engine_service
Facilitates the management and high-speed querying of high-dimensional vector embeddings, encompassing functionalities for vector index creation, data ingestion, and nearest-neighbor retrieval. It natively supports persistent storage of vector representations alongside associated descriptive payload data.
Author

RyanLisse
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Vector Search Engine MCP Gateway
Synopsis
An implementation of the Model Context Protocol (MCP) gateway interfacing with the LanceDB vector database backend. This server furnishes capabilities for optimized storage, execution of similarity matching routines, and overall administration of vector representations complemented by attendant metadata.
Operational Artifacts
The server exposes persistent vector indexes as manageable operational units:
- table://{identifier}: Represents a persistent vector store capable of housing embeddings and their associated descriptive context.
- Configurable vector dimensionality setting.
- Provisions for textual descriptive attributes.
- High-performance mechanism for proximity-based searches.
Interface Endpoints
Index Administration
POST /table- Provision a novel vector index structure.
-
Request Payload Structure:
{ "name": "primary_index",
"dimension": 1024
}
Embedding Operations
POST /table/{index_name}/vector- Append novel vector datum into the specified index.
-
Request Payload Structure:
{ "vector": [0.9, 0.8, ...],
"text": "descriptive payload string" } -
POST /table/{index_name}/search - Execute a nearest-neighbor search utilizing a provided query vector.
-
Request Payload Structure:
{ "vector": [0.5, 0.4, ...],
"limit": 50
}
Deployment Procedure
bash
Obtain source code repository
git clone https://github.com/yourusername/lancedb_mcp.git cd lancedb_mcp
Install required libraries using uv dependency manager
uv pip install -e .
Integration with Desktop Client
bash
Augment your configuration file (claude_desktop_config.json)
"mcpServers": { "vectorstore": { "command": "uv", "args": [ "run", "python", "-m", "lancedb_mcp", "--db-path", "/var/lib/lancedb_data" ] } }
Development Guidelines
bash
Install supplementary tools for development tasks
uv pip install -e ".[dev]"
Execute verification suites
pytest
Enforce standardized code styling
black . ruff .
Environmental Configuration Variables
LANCEDB_URI: Specifies the persistent location for the LanceDB file system structure (default setting: "./vector_store_root")
Licensing Information
Distribution and use of this software are governed by the terms outlined in the MIT License. Consult the LICENSE file for specifics.
