Tipsoi MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Tipsoi MCPShow me the leave balance for employee ID 42"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Tipsoi MCP — Phase 1 (Read-Only)
An MCP server that lets Claude read from the Tipsoi HRM API: employees, attendance, leave, overtime, notifications, and org setup. Phase 1 is strictly read-only — the server registers only GET endpoints, so the assistant physically cannot create, edit, approve, or delete anything.
What's exposed (15 tools)
Tool | Reads |
| Employee directory |
| One employee's profile |
| Monthly attendance report |
| One day's attendance |
| Absentees for a date |
| Late / leave / absent over a range |
| App/selfie punches over a range |
| Leave balances |
| Leave applications (view only) |
| Overtime report |
| Offices/locations |
| Departments |
| Job titles |
| Holidays |
| Recent notifications |
Write endpoints from the API collection (create/update/delete employee, apply/ approve leave, change OT status, etc.) are deliberately not registered. They belong to Phase 2+, behind per-user auth, confirmation, and audit logging.
Related MCP server: humaans-mcp
1. Install
Requires Python 3.10+.
cd tipsoi-mcp
python -m venv .venv && source .venv/bin/activate # optional but recommended
pip install -e .2. Configure credentials
cp .env.example .envEdit .env:
TIPSOI_EMAIL=service-account@yourcompany.com
TIPSOI_PASSWORD=...
TIPSOI_OFFICE_ID=4397 # optional default; discover via list_workplaces
TIPSOI_COMPANY_ID=4146 # optional defaultUse a dedicated read-scoped service account. Whatever this account can see in Tipsoi is the ceiling of what the assistant can read. Even though the server exposes no write tools, scope the account to read-only roles as a second line of defense.
The server reads env vars directly. To load .env, either export the vars in
your shell or use a tool like direnv / dotenv.
3. Test locally (stdio)
set -a; source .env; set +a
python -m tipsoi_mcp.serverIt will start on stdio and wait for an MCP client. Use the MCP Inspector for a quick manual check:
npx @modelcontextprotocol/inspector python -m tipsoi_mcp.serverCall list_workplaces first — it confirms auth works and shows valid
office_id values.
4. Use it as a Claude connector
You have two paths. Local (stdio) is the fastest for one machine; remote (HTTP) is what you want for a shared team connector.
Option A — Local, via Claude Desktop (stdio)
Claude Desktop launches the server as a subprocess.
Open Claude Desktop → Settings → Developer → Edit Config (this opens
claude_desktop_config.json).Add the server:
{
"mcpServers": {
"tipsoi": {
"command": "python",
"args": ["-m", "tipsoi_mcp.server"],
"cwd": "/absolute/path/to/tipsoi-mcp",
"env": {
"TIPSOI_EMAIL": "service-account@yourcompany.com",
"TIPSOI_PASSWORD": "...",
"TIPSOI_OFFICE_ID": "4397",
"TIPSOI_COMPANY_ID": "4146"
}
}
}
} Use the full path to your python (the venv one) if python isn't on
Claude Desktop's PATH — e.g. /path/to/tipsoi-mcp/.venv/bin/python.
Restart Claude Desktop. You'll see a tools/connector icon; "tipsoi" and its 15 tools should appear. Ask: "List our Tipsoi workplaces" or "Show the daily attendance summary for 2026-02-18."
Option B — Remote, via Claude.ai / Claude Desktop Custom Connector (HTTP)
For a connector your team adds by URL, run the server in streamable-HTTP mode behind HTTPS.
Run it in HTTP mode:
set -a; source .env; set +a
TIPSOI_TRANSPORT=http python -m tipsoi_mcp.server FastMCP serves the streamable-HTTP endpoint at /mcp (default host/port
127.0.0.1:8000). Put it behind a reverse proxy (nginx/Caddy) or a tunnel
so it's reachable over HTTPS — remote MCP connectors require TLS.
In Claude: Settings → Connectors → Add custom connector, then paste the public URL, e.g.
https://tipsoi-mcp.yourcompany.com/mcp.Claude lists the tools; enable them and start asking questions.
Phase 1 caveat on remote mode: this build authenticates with a single service account and does not implement OAuth, so every user of the remote connector reads through that one account's permissions. That's acceptable for a read-only internal pilot but must not be how you ship write actions. Per-user OAuth is the first thing Phase 2 adds. Until then, if you deploy remotely, restrict network access (VPN/allowlist) so only your team can reach the endpoint.
Example prompts once connected
"Which employees were absent on 2026-02-18?"
"Give me February 2026 attendance for the Dhaka office."
"Show the overtime report for February 2026."
"What's the leave balance for everyone this quarter?"
"Pull the mobile/selfie punch report for last week."
Design notes
Dates: tools take
YYYY-MM-DD(oryear/month); the server converts to Tipsoi's epoch-millisecond format usingAsia/Dhaka(UTC+6). Override withTIPSOI_TZ_OFFSET_HOURS.Auth refresh: on a 401 the client refreshes the token, then re-signs in if needed — transparent to the caller.
Errors: API/auth failures return a structured
{"error": ...}object instead of throwing, so Claude can explain the problem instead of failing opaquely.
What Phase 2 will add (not in this build)
Per-user OAuth, role-gated write tools (apply/approve leave, OT status, roster edits) behind a preview→confirm step, idempotency keys, and full audit logging of every AI-initiated action.
Maintenance
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