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PopNx MCPMCP servers for people who use AI · explained in plain words

Stele

by leocelisversion 18.16.2i★ –iRuns on your computer
Registry nameio.github.leocelis/stele

Install

Overview

Description from the maker (original English)

Governed agent memory: lessons stay out of search until another actor promotes them with evidence.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: STELE_STORE

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "stele": {
      "command": "uvx",
      "args": [
        "stele-mcp"
      ],
      "env": {
        "STELE_STORE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add stele --env STELE_STORE=your-value -- uvx stele-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "stele": {
      "command": "uvx",
      "args": [
        "stele-mcp"
      ],
      "env": {
        "STELE_STORE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "stele": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "stele-mcp"
      ],
      "env": {
        "STELE_STORE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • STELE_STORE env
    Path to the ledger store. Default ./.stele-store

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account leocelis, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7247 servers in this category
  • Published to the registry more recently than 98% of the other 7247 servers in this category
  • Basic checks equal to or better than 100% of the other 7247 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Stele safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (18.16.2) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Stele

The governed experiential-memory ledger for AI agents — log what worked and what failed, promote only oracle-verified lessons, and let any agent build solid context from real experience.


What is Stele?

A stele is a stone raised to record what happened — deeds, laws, warnings — for those who come after. Stele is the same idea for AI agents: a centralized ledger of task experience. Agents automatically log what worked and what failed on each task; a governance gate promotes only lessons backed by external evidence; and any agent — today's or a future one — retrieves the distilled experience through one protocol before its next task.

Status: v18.16.1. Design locked in stele_system_intent.yaml. Packages: stele-core (zero runtime deps; optional [mysql]) + stele-mcp (stdio + hosted HTTP) + stele CLI.

Why Stele (research-backed)

ProblemEvidenceStele answer
Recall wins ≠ better actionsMemoryArena (arXiv:2602.16313)Task-outcome harnesses, not recall@k marketing
Self-reflection poisons storesSurvey (arXiv:2603.07670)Quarantine + external oracle only
Every framework is a silomemorywire (arXiv:2606.01138)JSON Schema + projection helpers
Stale lessons misleadLongMemEval (arXiv:2410.10813)Bi-temporal supersede + stale_policy

Full research: docs/research/ · patterns: docs/patterns/.

Install

pip install stele-core stele-mcp

From git (contributors):

python3.11 -m venv .venv

source .venv/bin/activate pip install -r requirements-dev.txt pip install -e packages/stele-core -e packages/stele-mcp make check # ruff + mypy + pytest make proof # end-to-end PASS/FAIL proof

Quick path: docs/QUICKSTART.md · comparison: docs/COMPARISON.md.

Quick start (library)

from pathlib import Path

from stele_core import Stele

s = Stele.open(Path(".stele-store"), store_id="demo", now="2026-08-20T12:00:00Z") added = s.add({ "layer": "failure_lesson", "title": "Pin cache keys to calendar buckets", "body": "Day-scoped keys prevent stale cross-day reads.", "scope": "project:demo", "temporal": {"valid_from": "2026-08-20T12:00:00Z", "last_verified": "2026-08-20T12:00:00Z"}, "provenance": { "agent": "agent-a", "task": "cache-fix", "environment": "local", "subject_id": "subj-1", "source": "session:abc", "written_at": "2026-08-20T12:00:00Z", }, })

→ {"id": "se_…", "state": "quarantined"} — not searchable yet

s.promote(added["id"], [{ "type": "test_result", "issuer": "ci", "ref": "tests/test_cache.py", "observed_at": "2026-08-20T12:00:00Z", "verdict": "supports", "command": "pytest -q", "exit_status": 0, }], actor="ci", ts="2026-08-20T12:00:00Z")

print(s.search("cache buckets", consumer_scope="project:demo")) print(s.doctor(now="2026-08-20T12:00:00Z")["ok"])

CLI

stele init ./.stele-store --store-id demo

stele doctor ./.stele-store --now 2026-08-20T12:00:00Z stele hygiene ./.stele-store --now 2026-08-20T12:00:00Z stele entangled ./.stele-store --source web_page --now 2026-08-20T12:00:00Z stele forget-check ./.stele-store --scope project:demo --subject-id subj-x --probe-query secret --now 2026-08-20T12:00:00Z stele schema --out docs/schemas/entry.schema.json stele snapshot ./.stele-store /tmp/stele-backup --now 2026-08-20T12:00:00Z --actor ops

MCP (stdio)

Requires the Model Context Protocol Python SDK 1.x (mcp>=1.0,<2). mcp 2.x removed mcp.server.fastmcp and will not boot this server.

Default (`stele-mcp`): 35 governed-ledger tools — add, promote, search, doctor, export, …

export STELE_STORE=./.stele-store

stele-mcp

Full research library (~2000 PEFT/agent-pattern tools): stele-mcp-full.

MCP (hosted HTTP)

Same tools over HTTPS (SSE + streamable HTTP). Two independent tool surfaces, same process, same auth, same store:

SurfaceSSEStreamable HTTPTools
Full/sse/mcp2003 (ledger + PEFT/pattern research library)
Core (governed ledger only)/core/sse/core/mcp35 — see list below

Production:

  • URL: https://stele.leocelis.com/sse · core: https://stele.leocelis.com/core/sse (Bearer required)
  • Client setup: docs/integrations/CURSOR.md · CLAUDE_CODE.md · CLAUDE_DESKTOP.md
  • Agent rule: docs/cursor-rules/stele-hosted-mcp.mdc

Local run (dev):

bash deploy/build.sh

STELE_API_KEYS=stl_local_dev STELE_AUTH_DISABLED=false \ STELE_STORE=./.stele-store \ python deploy/wsgi.py --port 8080

  • GET /health — unauthenticated; reports tool_counts: {full, core}
  • /sse + /mcp (full) and /core/sse + /core/mcp (ledger-only) — both Bearer via STELE_API_KEYS
  • Hosted durable SoT: STELE_STORE_DSN + TLS CA (DSN wins over file path)
  • Never commit API keys, DSNs, or PEMs
{

"mcpServers": { "stele": { "url": "https://stele.leocelis.com/core/sse", "headers": { "Authorization": "Bearer YOUR_KEY_HERE" } } } }

35 governed-ledger tools (TECH_SPEC §7.1-7.9 — everything create_core_app() exposes): add · update · promote · supersede · delete · search · reflect · link · list_contested · resolve_contested · verify · reviewer_corrections · hydrate · export · record_outcome · pin · stale_report · reverify · related · stats · timeline · verify_pack · attach · snapshot · doctor · entry_schema · purge_by_provenance · diff_stores · add_batch · entangled_suspects · hygiene_candidates · forget_compliance · lineage · belief_at · conflict_surface

Architecture

See docs/ARCHITECTURE.md. Planes: Contract · Tools · Governance · Retrieval · Export · Living ledger · Ops.

DocLink
OSS guide (start here)docs/OSS_GUIDE.md
Quickstartdocs/QUICKSTART.md
PRDdocs/PRD.md
TECH_SPEC v1.1docs/TECH_SPEC.md
Entry JSON Schemadocs/schemas/entry.schema.json
Intent (C1–C8)stele_system_intent.yaml

License

MIT · Copyright (c) 2026 Stele contributors

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