What is yantrikdb-mcp and how does it work?

yantrikdb-mcp is an MCP server that provides cognitive memory capabilities for AI agents through semantic storage and knowledge graphs. It enables agents to store, retrieve, and adaptively recall information across conversations using contextual similarity matching.

How do I install and run yantrikdb-mcp?

Install via uvx with the command: uvx yantrikdb-mcp@0.4.7. The server runs over stdio transport, making it compatible with any MCP client that supports standard input/output communication.

Can I use yantrikdb-mcp for multi-turn conversations?

Yes, yantrikdb-mcp is designed for agents that need persistent memory across multiple conversations. It stores semantic memories and knowledge graphs that can be queried and recalled in future interactions.

What authentication or setup is required?

The registry metadata does not specify authentication requirements. Refer to the official documentation or GitHub repository for detailed setup instructions and any necessary configuration.

How does adaptive recall work in yantrikdb-mcp?

Adaptive recall uses semantic similarity to retrieve relevant memories based on context. The system learns which memories are most useful for similar situations and adjusts retrieval confidence scores accordingly.

MCP ServerSTDIOOfficialv0.4.7

Yantrikos Yantrikdb MCP Server

Store and retrieve semantic memories for AI agents using a knowledge graph with adaptive recall. Designed for developers building agents that need persistent, contextual memory across conversations.

io.github.yantrikos/yantrikdb-mcp

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Hosted URL

Local install

Transport

STDIO

Auth

No auth required

What the Yantrikos Yantrikdb MCP server does

How models use it and what it is built for.

Store and retrieve semantic memories for AI agents using a knowledge graph with adaptive recall. Designed for developers building agents that need persistent, contextual memory across conversations.

Connect to Yantrikos Yantrikdb

Local install — runs as a subprocess.

uvx yantrikdb-mcp==0.4.7

Resources

Where to find authoritative docs and source for Yantrikos Yantrikdb.

Source repository

Example prompts for Yantrikos Yantrikdb

Paste any of these into Agent Studio after connecting Yantrikos Yantrikdb.

Store this conversation context as a semantic memory for future reference
Query my knowledge graph for similar past interactions about user preferences
What memories do I have related to this topic and how confident are they
Show me the schema and available memory operations in yantrikdb-mcp

Yantrikos Yantrikdb MCP server — FAQ

Common questions about connecting and running Yantrikos Yantrikdb.

What is yantrikdb-mcp and how does it work?
yantrikdb-mcp is an MCP server that provides cognitive memory capabilities for AI agents through semantic storage and knowledge graphs. It enables agents to store, retrieve, and adaptively recall information across conversations using contextual similarity matching.
How do I install and run yantrikdb-mcp?
Install via uvx with the command: uvx yantrikdb-mcp@0.4.7. The server runs over stdio transport, making it compatible with any MCP client that supports standard input/output communication.
Can I use yantrikdb-mcp for multi-turn conversations?
Yes, yantrikdb-mcp is designed for agents that need persistent memory across multiple conversations. It stores semantic memories and knowledge graphs that can be queried and recalled in future interactions.
What authentication or setup is required?
The registry metadata does not specify authentication requirements. Refer to the official documentation or GitHub repository for detailed setup instructions and any necessary configuration.
How does adaptive recall work in yantrikdb-mcp?
Adaptive recall uses semantic similarity to retrieve relevant memories based on context. The system learns which memories are most useful for similar situations and adjusts retrieval confidence scores accordingly.

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