Cortex MCP server
io.github.VBlackJack/cortex·v2026.1021.3·1 starsLocal multi-client RAG server over the Model Context Protocol.
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1 stars316 downloads/wk
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Cortex tools
No tool declarations could be read from the package source. They show once the server is installed.
How Cortex compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 90% of 4,460 AI and agents servers
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
- Downloads a week
- 316
- more than 80% of 1,538 AI and agents servers with a package
Release history: 2 versions in the registry since 2026-09-09, latest 2026-10-21, typically one every 42 days.
Install Cortex in Claude Code, Cursor or VS Code
claude mcp add cortex -- uvx cortex-local-rag
What the publisher says
From the Cortex repository's README, as published. We do not edit it. Read it on GitHub
Cortex - RAG MCP for a knowledge base
<!-- mcp-name: io.github.VBlackJack/cortex -->
English | Français
Cortex is an MCP (Model Context Protocol) server that exposes semantic search over a local knowledge base. It lets Claude, Codex and Gemini find the right passage in your documents without wasting their context window. Search is semantic (by meaning, not keyword), in French and in English. Cortex processes and indexes the knowledge base locally without sending its content; the MCP client may still pass requested chunks to its model under its own policy. The optional Confluence writer only downloads explicitly allowlisted spaces; the generated Markdown, vector index, and lexical index remain local.
Starting with 2026.0906.01, Companion offers a guided home screen, operation history and Confluence setup from one page or space link. Connection and measured scope confirmation stay in the flow; successful collection is followed by indexing. Use the combined installer to keep Cortex and Companion compatible.
With paired version 2026.0909.02, Confluence updates preserve the served generation when subtree enumeration fails and apply changed target/classification settings on retry. Search uses multilingual vector retrieval by default; CLI and MCP callers can explicitly select hybrid or reranked search. The first successful collection after upgrading regenerates older publication revisions, and the following sync removes obsolete index entries.
Guided document updates (2026.0909.00)
Companion brings local documents and Confluence together in My sources, with one Update my documents action. Search previews are resizable, large page trees render visible rows, and cancelling review preparation keeps the draft. Readiness now follows the saved document folder and configuration, including after restart. Run one document update after upgrading to establish this evidence for older indexes. See the release notes.
Measured scope without enumerating the space (2026.0907.00)
Adding a Confluence source measures its page, subtree and whole-space scopes with one indexed count each instead of reading the space page by page. On a 5916-page space that measurement took 3 min 19 s, past the timeout of every graphical caller, so Companion showed nothing at all. It now answers in about a second, and the emitted contract is unchanged.
Two whole-space numbers shift by one as a result: the resolved page is no longer folded into the space total, and a space with no visible page reports zero rather than one. A deployment whose search endpoint returns no total cannot measure a scope and reports that as a permanent failure instead of a retryable one. See the contracts.
Paired Companion 2026.0907.00 restores the contrast of the scope window, whose options were drawn in the system text colour, and stops reporting a timeout as a connection failure or advising a delay increase that silently reverts.
Source management in Companion (2026.0906.02)
The workflow includes search, remote page trees, impact review, evidence-based readiness, save-and-update, last-removal undo and recovery actions. See the contracts.
Paired version 2026.0906.02 provides visible My sources cards, a prefilled selection editor, confirmed page/space removal and browser links to originals. Removal only changes Cortex tracking; search reflects it after successful collection and indexing.
Removing the final source explicitly writes spaces = [] in a schema v2 or v3 configuration. This intentional empty allowlist permits an empty publication with tombstones for prior documents. An absent spaces key remains incomplete configuration and collection is refused. Connection and credential validation and publication safeguards still apply. Both updated components are required; this capability is absent from the installed 2026.0906.01 release.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Cortex: common questions
- Is Cortex MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the Cortex safety report
- How do I install Cortex?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Cortex need an API key?
- No secret keys are declared. It reads 1 setting from the environment.
- Is Cortex maintained?
- The last commit was 56 days ago (2026-09-09). The latest release is v2026.1021.3.
- What can I use instead of Cortex?
- Servers from other publishers that do the same job: PDF MCP server, Tw Legal Rag MCP server and agent-device MCP server.
- How does Cortex compare with other AI and agents MCP servers?
- safety score 92/100 (higher than 90% of 4,460 AI and agents servers); github stars 1 (more than 50% of 2,711 AI and agents servers); downloads a week 316 (more than 80% of 1,538 AI and agents servers with a package). Full comparison.
Alternatives to Cortex
Same job from other publishers: the closest match first, then the best rated.
- PDFAgentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.not reviewedEstablishedA
Tw Legal RagCitation-guarded retrieval over 22M Taiwan court judgments and administrative interpretationsnot reviewedEstablishedA- agent-deviceOpen source device layer for AI agents: control mobile, web, TV, and desktop apps over MCPnot reviewedWidely usedA
- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA
- Pm Claude Skills1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.not reviewedEstablishedA