prolog-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@prolog-mcpLoad a family tree and find all ancestors of Alice"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Prolog-MCP Server
A neurosymbolic AI server combining Prolog’s symbolic reasoning with Model Context Protocol (MCP) for hybrid AI applications.
Features:
Persistent Prolog session: maintain state between tool calls
Session management: save/load knowledge bases to disk
Four core tools:
loadProgram: Load Prolog predicates/rulesrunPrologQuery: Execute complex logical queriessaveSession: Persist session stateloadSession: Restore previous sessions
Type safety via Zod schema validation for all I/O
WebAssembly runtime: Trealla Prolog in WASI environment
Integration with Cline/Roo/Copilot:
{
"mcpServers": {
"prolog-mcp": {
"command": "node",
"args": [
"prolog-mcp/dist/index.js"
],
"disabled": false,
"alwaysAllow": [
"loadProgram",
"runPrologQuery",
"saveSession",
"loadSession"
],
"timeout": 15
}
}
}Development:
git clone https://github.com/adamrybinski/prolog-mcp
cd prolog-mcp
npm install
npm run buildPerformance:
Operation | Avg. Latency | Memory Usage |
Query Execution | 12ms | 18MB |
Session Save | 45ms | 22MB |
Program Load | 8ms | 15MB |
Acknowledgements:
Built with Trealla Prolog and MCP Protocol
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