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Vikingdb

Safety: 45/100

0.0(0)

VikingDB MCP server provides tools to interact with a VikingDB vector database, enabling information upsert and search, but requires careful secrets management.

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Overview

VikingDB MCP server provides tools to interact with a VikingDB vector database, enabling information upsert and search, but requires careful secrets management.

The VikingDB MCP server offers convenient tools for interacting with a VikingDB instance. However, the reliance on API keys and the absence of sandboxing mechanisms introduce risks. It's relatively safe for read-only operations but becomes risky when write operations are involved, especially without proper key management and access controls.

Performance depends on the size of the VikingDB database and the complexity of the queries. Indexing strategies are crucial for optimal performance.

Cost depends on VikingDB's pricing model, including storage, compute, and API usage. Consider the cost of data transfer and indexing.

HybridPython3 starsReleased 12/7/2024

Connections & Capabilities

Connects To

GitHub

Capabilities

ReadWrite

Client Compatibility

Claude Desktop

full

Cursor

untested

Windsurf

untested

VS Code (Copilot)

untested

Quickstart

Install

npx -y @smithery/cli install mcp-server-vikingdb --client claude

Claude Desktop Config

{
  "mcpServers": {
    "mcp-server-vikingdb": {
      "command": "uv",
      "args": [
        "--directory",
        "dir to mcp-server-vikingdb",
        "run",
        "mcp-server-vikingdb",
        "--vikingdb-host", 
        "your host",
        "--vikingdb-region", 
        "your region",
        "--vikingdb-ak", 
        "your access key",
        "--vikingdb-sk", 
        "your secret key",
        "--collection-name",
        "your collection name",
        "--index-name",
        "your index name"
      ]
    }
  }
}

Tools (4)

safe

vikingdb-colleciton-intro

Introduces the collection of vikingdb.

Read-only operation, provides information about the collection.

safe

vikingdb-index-intro

Introduces the index of vikingdb.

Read-only operation, provides information about the index.

moderate

vikingdb-upsert-information

Upserts information to vikingdb for later use.

Writes data to the database, but doesn't delete or modify schema.

safe

vikingdb-search-information

Searches for information in the VikingDB.

Read-only operation, retrieves information from the database.

Security

Auth Method

API Key

Data Locality

hybrid

Known Risks

!Exposure of API keys could lead to unauthorized access to the VikingDB database.
!Lack of input validation could lead to injection attacks.
!Insufficient error handling might expose sensitive information.
!Potential for data corruption if upsert operations are not carefully managed.
!No rate limiting, which could lead to resource exhaustion.

Safety Score

moderate risk

Positive

+Access to VikingDB is controlled via API keys.
+Tools are specific to VikingDB operations, limiting broader system access.
+Clear configuration parameters for host, region, and credentials.

Risks

-Requires storing and managing sensitive API keys (vikingdb_ak, vikingdb_sk).
-No explicit sandboxing mentioned, potential for unintended data modification.
-Write operations are supported, increasing the risk of data corruption or unauthorized changes.
-Lack of detailed RBAC (Role-Based Access Control) information.

Use Cases

Knowledge Retrieval

-Searching for relevant documents based on semantic similarity.
-Retrieving product information based on user queries.
-Finding experts based on their skills and experience.

Data Enrichment

-Adding metadata to existing data based on vector similarity.
-Classifying documents based on their content.
-Identifying similar entities in different datasets.

Recommendation Systems

-Recommending products based on user preferences.
-Suggesting relevant articles based on reading history.
-Personalizing search results based on user context.

Who Is This For?

Best For

Applications requiring semantic search capabilities.
Systems that need to store and retrieve high-dimensional vectors.
Use cases where similarity-based retrieval is important.
Integrating vector search into existing applications.

Not Ideal For

Applications requiring strict ACID transactions.
Scenarios where data privacy is paramount and key management is challenging.
Simple key-value lookups where a traditional database is sufficient.

Autonomy & Execution

Default ModeConfigurable

Autonomy depends on the specific tool used. Write operations should be carefully considered in automated workflows.

StatelessYes

Retry LogicNot documented

ConcurrencyNot documented

Production Tip

Implement robust error handling and monitoring to detect and mitigate potential issues in production.

FAQ

What security measures should I take when using this MCP server?

Protect your API keys, restrict access to the server, and monitor usage for suspicious activity.

How do I configure the VikingDB connection parameters?

Set the vikingdb_host, vikingdb_region, vikingdb_ak, and vikingdb_sk configuration parameters in the MCP server configuration.

Does this server support multiple collections?

The configuration specifies a single collection_name. Multiple collections might be supported through multiple server instances or dynamic configuration (check the implementation).

What types of data can I store in VikingDB?

VikingDB is designed for storing vector embeddings. You can store vectors representing text, images, audio, or other types of data.

How do I optimize search performance?

Use appropriate indexing strategies and optimize your queries for the specific data and use case.

Is there a way to monitor the server's performance and resource usage?

The documentation doesn't explicitly mention monitoring. You may need to implement custom monitoring solutions or use VikingDB's built-in monitoring tools (if available).

What happens if my API keys are compromised?

Immediately revoke the compromised keys and generate new ones. Investigate any unauthorized activity.

Metrics

Discovered2/14/2026

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