post-cortex-mcp 0.3.0

Model Context Protocol (MCP) tool definitions for post-cortex. Pure library — embed in rmcp, custom MCP servers, or anywhere else; no rmcp / axum / tonic transport dependencies.
Documentation

post-cortex-mcp

Crates.io Docs.rs License: MIT

Model Context Protocol (MCP) tool definitions for post-cortex.

Pure library — no rmcp, axum, tonic, or transport runtime dependency. Each public function takes the typed parameters of a single MCP tool, dispatches into the post-cortex domain layer, and returns an MCPToolResult. Embed these tools in your own MCP server runtime (rmcp, custom servers, anything else) without pulling the post-cortex daemon.

Install

[dependencies]
post-cortex-mcp = "0.2"

Nine consolidated tools

Module Tool surface
[session] session lifecycle (create / list / load / search / update / delete / checkpoint)
[update_context] single + bulk context writes
[query] structured queries against session context
[search] semantic search (session / global) + related content
[analysis] structured summary, decisions, insights, entity importance + network views
[workspace] workspace CRUD
[schemas] JSON Schema for the MCP tool surface

Example

use post_cortex_mcp::{get_memory_system, update_conversation_context};
use post_cortex_memory::{ConversationMemorySystem, SystemConfig};
use std::collections::HashMap;
use std::sync::Arc;

# async fn run() -> Result<(), Box<dyn std::error::Error>> {
let system = Arc::new(ConversationMemorySystem::new(SystemConfig::default()).await?);
let session_id = system.create_session(None, None).await?;

let mut content = HashMap::new();
content.insert("title".to_string(), "Picked Rust over Go".to_string());
content.insert("rationale".to_string(), "Memory safety + zero-cost".to_string());

let result = update_conversation_context(
    "decision_made".to_string(),
    content,
    None,
    session_id,
).await?;

assert!(result.success);
# Ok(()) }

License

MIT — see LICENSE.