What is the core data structure?
The core is a directed graph that stores entities as nodes, relationships as predicates (edges), and supports concurrent safety with a read-write mutex.
MCPKG - MCP Knowledge Graph
@owulveryck
Basic information
About MCPKG - MCP Knowledge Graph
A MCP (Model Context Protocol) server that exposes primitives for interacting with a Knowledge Graph
MCPKG - MCP Knowledge Graph config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryMCPKG - MCP Knowledge Graph tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCPKG - Model Context Protocol Knowledge Graph?
MCPKG is a Go implementation of a knowledge graph system exposed through the Model Context Protocol (MCP). It stores, manages, and queries semantic information as subject-predicate-object triples, with a thread-safe, serializable graph and an MCP server interface for programmatic access.
How to use MCPKG - Model Context Protocol Knowledge Graph?
Install Go 1.24+ and the dependencies (mcp-go, gonum, testify for testing). Use the insert_triple tool with subject, predicate, and object parameters to add triples, and query via the graph:// URI format to find relationships between entities.
Key features of MCPKG - Model Context Protocol Knowledge Graph
- Directed graph implementation for structured information.
- Create and query semantic triples (subject-predicate-object).
- Persistent storage through serialization and deserialization.
- MCP server interface for programmatic access.
- Custom URI format (
graph://) for graph queries. - Thread-safe with read-write mutex for concurrent use.
Use cases of MCPKG - Model Context Protocol Knowledge Graph
- Store and retrieve relationships between people, places, and concepts as triples.
- Build a persistent knowledge base for AI agents using the Model Context Protocol.
- Enable semantic queries over structured data in a Go application.
- Provide a simple, embedded knowledge graph with an MCP interface.
Frequently asked questions
How is the graph persisted?
The knowledge graph supports serialization and deserialization for persistent storage.
What are the runtime dependencies?
Go 1.24+ and packages: `mcp-go`, `gonum`, and `testify` (for testing only).
Is the MCP server stateful or stateless?
The MCP server implements a stateless design for reliability.
How can I query the graph programmatically?
Use the custom URI format `graph://` to find relationships between entities, and the `insert_triple` tool to add information.
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