pulsemcp Safe content atomic mcp-remote

Zerodha

Zerodha-MCP provides a secure interface for AI models to interact with the Zerodha trading platform through a FastMCP server implementation. Built by Aptro, it enables models to authenticate with Zerodha, manage portfolios, place stock and mutual fund orders, retrieve market data, and set up SIPs. The implementation handles authentication flows securely, stores access tokens locally, and provides comprehensive error handling across all trading operations. This server is particularly valuable for users who want to automate trading workflows or analyze their investment portfolio directly within AI assistant conversations.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: finance
Source: PulseMCP
Repository: github.com/aptro/zerodha-mcp
Author type: human
Updated: 2026-06-11

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MCP

Resolve Zerodha from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"