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cortex

bydinglebear-ai· 6 MCP servers

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DevOps & CI/CD

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TL;DR

Rust MCP server for homelab logs, syslog, Docker logs, FTS search, and AI transcript correlation.

How to install cortex?

dinglebear-ai/cortex
$git clone https://github.com/dinglebear-ai/cortex

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Install & use

Install cortex by running `git clone https://github.com/dinglebear-ai/cortex`, then use it for the current task and follow its documentation at https://github.com/dinglebear-ai/cortex.

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README.md
1# cortex
2 
3[![crates.io](https://img.shields.io/crates/v/cortex)](https://crates.io/crates/cortex) [![ghcr.io](https://img.shields.io/badge/ghcr.io-jmagar%2Fcortex-blue?logo=docker)](https://github.com/jmagar/cortex/pkgs/container/cortex)
4 
5Rust syslog receiver and MCP server for homelab log intelligence. Ingests syslog over UDP and TCP, stores it in SQLite with FTS5 full-text indexing, and exposes action-based log search, inventory, correlation, status, and analysis tools through MCP, REST, and CLI adapters backed by the shared service layer.
6 
7cortex also maintains derived projection tables for the investigation graph.
8Those graph tables connect source IPs, claimed hosts, apps, canonical
9services, containers, AI projects/sessions, and error signatures with
10evidence, but raw logs, heartbeats, inventory, signatures, and session rows
11remain the source of truth. The graph projection is rebuildable and
12intentionally has no ingest triggers. Graph rebuilds use staging tables plus
13a short serialized swap and record explicit projection status, source
14watermarks, row counts, runtime metrics, and degraded failure state.
15 
16Service identity is resolver-backed: searching `plex` resolves the logical
17service first (`logical_service:plex`), then concrete service instances such
18as `service_instance:tootie/plex`. Cortex no longer treats `tootie:plex` or
19`tootie:plex:plex` as canonical service identities — those legacy shapes are
20rejected with `rejected_legacy_shape` (see
21`openwiki/inventory-graph.md`, "Canonical Resolver Proof: Plex").
22 
23## Contents
24 
25- [Naming](#naming)
26- [Capabilities And Boundaries](#capabilities-and-boundaries)
27- [Install](#install)
28- [Quickstart](#quickstart)
29- [Client Configuration](#client-configuration)
30- [Runtime Surfaces](#runtime-surfaces)
31- [MCP Tool Reference](#mcp-tool-reference)
32- [CLI Reference](#cli-reference)
33- [Configuration](#configuration)
34- [Authentication](#authentication)
35- [Safety And Trust Model](#safety-and-trust-model)
36- [Architecture](#architecture)
37- [Distribution Contract](#distribution-contract)
38- [Development](#development)
39- [Verification](#verification)
40- [Deployment](#deployment)
41- [Troubleshooting](#troubleshooting)
42- [Documentation](#documentation)
43- [Related Servers](#related-servers)
44- [License](#license)
45 
46## Naming
47 
48Cortex keeps its repo and CLI name as `cortex`. The npm package is
49`cortex-rmcp`, because Cortex is broader than only an MCP server. The MCP
50registry name is `tv.tootie/cortex`, and the Docker image is
51`ghcr.io/jmagar/cortex:v<version>`.
52 
53Most smaller Rust MCP servers in this workspace use the
54`<service>-rmcp` repo / `r<service>` binary / `<service>-rmcp` npm pattern.
55Cortex is the deliberate exception: repo `cortex`, CLI `cortex`, npm package
56`cortex-rmcp`.
57 
58## Capabilities And Boundaries
59 
60Cortex ingests syslog, OTLP, Docker, managed file-tail, inventory, heartbeat,
61and AI-session signals into SQLite, then exposes bounded investigation actions
62through MCP, REST, and CLI adapters backed by the same service layer.
63 
64Primary capabilities:
65 
66- UDP and TCP syslog receiver on port `1514`.
67- SQLite + FTS5 log storage with retention and storage-budget controls.
68- MCP action surface for search, filtering, timelines, errors, context,
69 inventory, graph, AI-session correlation, and incident evidence bundles.
70- REST and CLI adapters for operational workflows and local automation.
71- Optional MCP Apps query widget for MCP hosts that support UI resources.
72- Derived graph projection tables for topology and investigation workflows.
73 
74**Not for:** replacing a SIEM, accepting arbitrary unaudited log mutations from
75agents, or exposing Docker/admin operations without a trusted deployment
76boundary. Cortex is a homelab log-intelligence service with bounded action
77surfaces and explicit admin gates.
78 
79MCP callers never provide credentials, tokens, keys, or secrets as action
80arguments. Auth tokens, upstream notification secrets, file-tail roots, and API
81admin credentials live in server configuration or environment variables.
82 
83## Install
84 
85Use the npm launcher for local MCP clients and quick CLI access:
86 
87```bash
88npx -y cortex-rmcp --help
89npx -y cortex-rmcp mcp
90```
91 
92For a permanent command on `PATH`, install the launcher globally:
93 
94```bash
95npm i -g cortex-rmcp
96cortex --version
97```
98 
99The package downloads the matching GitHub Release binary during `postinstall`.
100For source builds:
101 
102```bash
103cargo build --release
104```
105 
106## Quickstart
107 
108The first-screen 30-second path is a stdio MCP client pointed at the launcher:
109 
110```json
111{
112 "mcpServers": {
113 "cortex": {
114 "command": "npx",
115 "args": ["-y", "cortex-rmcp", "mcp"]
116 }
117 }
118}
119```
120 
121Then ask for a cheap read action first:
122 
123```json
124{"action":"status"}
125```
126 
127For an HTTP server with syslog listeners:
128 
129```bash
130export CORTEX_API_TOKEN=change-me
131export CORTEX_TOKEN=change-me
132cortex serve mcp
133```
134 
135## Client Configuration
136 
137stdio launches a query-only MCP process that reads the configured Cortex
138database without starting network listeners:
139 
140```json
141{

Preview

dinglebear-ai/cortexdinglebear-ai/cortex
Repodinglebear-ai/cortex
TypeMCP Servers
CategoryDevOps & CI/CD
UpdatedJul 2026
LicenseMIT
First seenJul 27, 2026

Tags

MCP

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