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Splid MCP

Splid MCP

Local
github.com/mxxfunFinance1Updated 58w ago

About Splid MCP

Splid MCP exposes Splid group expenses and balances to MCP clients, for groups managing shared spending through AI tools. It supports recent-entry lookup, member details, and expense creation.

Key features

  1. 01Check connectivity
  2. 02View groups and members
  3. 03Create expense entries
  4. 04List recent entries
  5. 05View group balance summary

Use cases

  1. 01Check that a Splid group is reachable
  2. 02Review members to verify identities
  3. 03Record shared group expenses
  4. 04Review recent expenses and balances

MCP support

This MCP server exposes tools for querying Splid groups and managing expenses over Streamable HTTP. Local stdio is also available for Inspector checks.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Splid MCP Server

A Model Context Protocol (MCP) server that exposes Splid (splid.app) via tools, powered by the reverse‑engineered splid-js client.

  • Language/Runtime: Node.js (ESM) + TypeScript
  • Transport: Streamable HTTP (and stdio for local inspector)
  • License: MIT

Quick start

  1. Install
npm install
  1. Configure env

Create a .env in project root:

CODE=YOUR_SPLID_INVITE_CODE
PORT=8000
  1. Build and run
npm run build
npm run dev
  1. Inspect locally
npm run inspect

Then connect to http://localhost:8000/mcp using "Streamable HTTP".

Tools

All tools support an optional group selector to override the default from CODE:

  • groupId?: string
  • groupCode?: string (invite code)
  • groupName?: string (reserved; not yet supported)

If none provided, the server uses the default group from CODE.

health
  • Purpose: connectivity check
  • Output: { ok: true }
whoami
  • Purpose: show the currently selected group and its members
  • Input: none
  • Output: JSON containing group info and members
createExpense
  • Purpose: create a new expense entry
  • Input:
    • title: string
    • amount: number > 0
    • currencyCode?: string (defaults to the group default when omitted)
    • payers: { userId?: string; name?: string; amount: number > 0 }[] (at least 1)
    • profiteers: { userId?: string; name?: string; share: number in (0,1] }[] (at least 1)
    • Optional group selector fields
  • Rules:
    • Names are case‑insensitive and resolved to member GlobalId; unknown names return a clear error.
    • The sum of all share values must equal 1 (±1e‑6).
  • Example (names):
{
  "title": "Dinner",
  "amount": 12.5,
  "payers": [{ "name": "Alice", "amount": 12.5 }],
  "profiteers": [{ "name": "Bob", "share": 0.6 }, { "name": "Alice", "share": 0.4 }]
}
  • Example (userIds):
{
  "title": "Dinner",
  "amount": 12.5,
  "payers": [{ "userId": "<GlobalId>", "amount": 12.5 }],
  "profiteers": [{ "userId": "<GlobalId>", "share": 1 }]
}
listEntries
  • Purpose: list recent entries in a group
  • Input:
    • limit?: number (1..100, default 20)
    • Optional group selector fields
  • Output: array of entries
getGroupSummary
  • Purpose: show balances/summary for a group
  • Input:
    • Optional group selector fields
  • Output: summary object (balances computed via Splid)
Streamable HTTP
  • URL: http://localhost:8000/mcp
  • No auth headers required; use MCP Inspector to test.

Troubleshooting

  • "Bad Request: Server not initialized": refresh and reconnect; first POST must be initialize.
  • 400 with share errors: ensure shares are in (0,1] and sum to 1.
  • Unknown name: check exact member names in whoami output.

Configuration

  • Env variables:
    • CODE: Splid invite/join code for the default group
    • PORT (optional): default 8000

Acknowledgements

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.