About Quantplay
Quantplay is a hosted MCP server for AI agents working with Indian broker accounts. It provides read-only account data by default, with a separate endpoint for agents permitted to trade.
Key features
- 01Connects 10+ Indian brokers
- 02Reads positions and holdings
- 03Checks orders, margins, and P&L
- 04Retrieves option chains
- 05Offers read-only and trading endpoints
Use cases
- 01Review positions across broker accounts
- 02Check holdings, orders, and margins
- 03Inspect P&L and option chains
- 04Enable an agent to place orders
MCP support
Quantplay exposes broker-account data through a hosted MCP server using Streamable HTTP and OAuth 2.1 with PKCE. A read-only endpoint is available, while the full endpoint includes order tools.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.quantplay.tech/mcp/readonlyclaude mcp add --transport http tech-quantplay-quantplay https://mcp.quantplay.tech/mcp/readonly{"mcpServers":{"tech-quantplay-quantplay":{"type":"http","url":"https://mcp.quantplay.tech/mcp/readonly"}}}Open in Cursor{"servers":{"tech-quantplay-quantplay":{"type":"http","url":"https://mcp.quantplay.tech/mcp/readonly"}}}Open in VS Code{"mcpServers":{"tech-quantplay-quantplay":{"type":"http","url":"https://mcp.quantplay.tech/mcp/readonly"}}}{"mcpServers":{"tech-quantplay-quantplay":{"serverUrl":"https://mcp.quantplay.tech/mcp/readonly"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://mcp.quantplay.tech/mcp/readonlyhttps://mcp.quantplay.tech/mcpTools
Details
From the project READMEQuantplay Skills
Official Quantplay plugin and skills for AI agents: Claude, ChatGPT, Codex, Cursor and any MCP client.
Quantplay connects an agent to your broker accounts across 10+ Indian brokers through one sign-in. Ask about positions, holdings, orders, margins, P&L and option chains in plain English.
The Quantplay MCP server
https://mcp.quantplay.tech/mcp/readonly
Streamable HTTP, hosted, OAuth 2.1 with PKCE and dynamic client registration. Nothing to install and no key to paste: the first call opens Quantplay so you can sign in and approve the agent.
| Endpoint | Tools | Use |
|---|---|---|
https://mcp.quantplay.tech/mcp/readonly | 17 read-only tools | Directory listings and this plugin |
https://mcp.quantplay.tech/mcp | All 24, including orders | Add it yourself as a custom connector if you want the agent to trade |
Every tool is annotated (readOnlyHint, destructiveHint, openWorldHint). On the full endpoint
you choose per agent whether it may trade or change risk limits, and you can disconnect any agent
in Quantplay → Settings → AI Integration.
Install
Paste this into any agent:
Set up Quantplay by following https://raw.githubusercontent.com/quantplay/skills/main/setup.md
Claude Code
claude plugin marketplace add quantplay/skills
claude plugin install quantplay@quantplay-skills
Inside a session, the same is /plugin marketplace add quantplay/skills then
/plugin install quantplay@quantplay-skills. The plugin bundles the skill and the read-only server.
Any agent that reads skills (skills.sh)
npx skills add quantplay/skills
This installs the skill only; add the MCP server above to your agent as well.
Risk limits
Stoploss, target and kill switch are set per broker account in Quantplay, and Quantplay auto-exits positions when one is breached, whoever opened them. No agent can change the kill switch.
Privacy
What Quantplay collects, why, how long it keeps it and how to delete it: quantplay.tech/policies/privacy. In short: an agent sees only what you approve; Quantplay stores which agents you connected and when they were last used; it doesn't store your conversations.
Support
[email protected] · quantplay.tech/support
License
MIT
Comments
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.