Power your agent
URL ของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
https://mcp.aviansuite.com/mcpปุ่ม Claude ด้านบนจะเปิด Claude พร้อมกรอกชื่อและ URL ให้แล้ว คุณยังต้องยืนยันที่นั่นเอง
claude mcp add --transport http kyle-visner-stellarjay https://mcp.aviansuite.com/mcpRun in a terminal.
{ "mcpServers": { "kyle-visner-stellarjay": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.aviansuite.com/mcp" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
Stellar Jay is the open-source data store that powers AvianSuite. AvianSuite is an agent-native business data platform: AI agents run business processes like sales follow-up and bookkeeping on your company's data, and every change they make is versioned, attributed to the agent that made it, and reversible. Think of it as Git for your business data.
Safe write access for AI agents. An append-only business fact store with an MCP server: every change is kept, attributed to the agent that made it, and can be undone.
Agents connect over MCP. The server is listed in the MCP registry as
com.aviansuite/stellar-jay, and the CRM (Martin)
and bookkeeping (Magpie) apps run on
the same store. This project was formerly called JayBase.
Connect an agent with the MCP server. On AvianSuite, add the remote server:
# Claude Code
claude mcp add --transport http aviansuite https://mcp.aviansuite.com/mcp
// Cursor: .cursor/mcp.json
{"mcpServers": {"aviansuite": {"url": "https://mcp.aviansuite.com/mcp"}}}
In Claude and ChatGPT, add a custom connector with the same URL.
For a self-hosted store, run the local server instead:
{
"mcpServers": {
"aviansuite": {
"command": "stellarjay-mcp",
"env": {"STELLARJAY_URL": "https://store.example.com", "STELLARJAY_TOKEN": "writer-token"}
}
}
}
Install it with go install github.com/kyle-visner/stellarjay/cmd/stellarjay-mcp@latest.
Tools and details: docs/mcp.md.
Clients want agents that do the work, not just read about it. But when an agent writes straight into a CRM or ticketing system, one bad decision or runaway loop can overwrite or delete records, and there is often no way back.
Stellar Jay is built so that can't happen:
Every fact keeps its evidence and the agent that recorded it, so any wrong one is visible, attributed and correctable.
Developers, consultants, and small teams moving from read-only copilots to agents that are allowed to act: operations, accounting, approvals, support, and other work where the data matters. Each store serves one organization. Many agents and apps can share it.
Requires Go 1.22 or later.
1. Install and create secrets.
go install github.com/kyle-visner/stellarjay/cmd/stellarjay-server@latest
stellarjay-server init ./secrets
init creates a data encryption key and prints an admin, writer, and reader
token once. Save them in a password manager.
2. Start the server.
export STELLARJAY_DATA_DIR=./data
export STELLARJAY_DATA_KEY_FILE=./secrets/data_key
export STELLARJAY_AUTH_FILE=./secrets/auth.json
stellarjay-server serve
It listens on 127.0.0.1:8080.
3. Record a fact. In another terminal:
export STELLARJAY_URL=http://127.0.0.1:8080
export STELLARJAY_TOKEN='the-writer-token'
curl -fsS -X POST "$STELLARJAY_URL/v1/events" \
-H "Authorization: Bearer $STELLARJAY_TOKEN" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: first-fact" \
--data '{
"type": "business.fact",
"entity_id": "customer-42",
"command": "fact assert",
"payload": {"predicate": "primary_contact", "value": "Ada Lovelace"},
"expected_root": ""
}'
expected_root is empty only for the first entry in a new store. After that,
read the current value from GET /v1/root and send it with each write, so a
write based on stale information is refused. The API guide
covers reading history, pagination, named checkpoints, and snapshots.
4. Connect an agent. Point the MCP server at your store:
go install github.com/kyle-visner/stellarjay/cmd/stellarjay-mcp@latest
Then use the self-hosted config from Agent setup with
STELLARJAY_URL=http://127.0.0.1:8080 and your writer token. Agents that don't
use MCP can read $STELLARJAY_URL/llm.txt, which explains how to work with the
store.
For a production store with HTTPS, you need a Linux host with Docker Compose, ports 80 and 443 open, and a DNS record pointing a domain at the host.
git clone https://github.com/kyle-visner/stellarjay.git
cd stellarjay
cp .env.example .env
# Edit .env and set STELLARJAY_DOMAIN.
go run ./cmd/stellarjay-server init ./secrets
docker compose up -d --build
curl https://stellarjay.example.com/health/ready
init will not replace existing secrets. The
operations runbook covers backups, token rotation and
upgrades, and the security model covers keys, roles and
hardening. Or skip all of this and use AvianSuite.
GOCACHE=/tmp/stellarjay-gocache go test -race ./...
GOCACHE=/tmp/stellarjay-gocache go vet ./...
docker compose config
docker build -t stellarjay:test .
AGPL-3.0-or-later. See LICENSE. Hosted Stellar Jay is available from
AvianSuite.
Safe write access for AI agents. An append-only business fact store with an MCP server: every change is kept, attributed to the agent that made it, and can be undone.
{ "mcpServers": { "kyle-visner-stellarjay": { "url": "https://mcp.aviansuite.com/mcp", "headers": {} } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก http สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Stellarjay เข้าถึงได้ผ่าน HTTP
ตรวจสอบล่าสุดเมื่อ 2026-10-28 Safe write access for AI agents. An append-only business fact store with an MCP server: every change is kept, attributed to the agent that made it, and can be undone.