Raccha AIVerifiedFeatured
@Shree Mandadi
About Raccha AI
MCP-first toolbox for agents: namespaced key-value storage, a FIFO queue, auth, and a handful of stateless utility tools (JWT decode, hashing, cert inspection, CIDR math). Free while in early access. This repository is a manifest and connection guide only . raccha.ai's server source is closed; this repo exists so directories and registries that crawl GitHub can discover and list a server that otherwise has nothing to crawl. Everything here is real: the endpoint, the auth flow, the tool names. No
Connection details
https://raccha.ai/mcpSetup
claude mcp add raccha-ai --transport http https://raccha.ai/mcpTools
No tools detected
Fetch the live tool list directly from this server's endpoint using the button above.
Overview
What we are building
raccha.ai is MCP-native tooling for teams building agentic systems: KV, queue, auth, and stateless utilities, all reachable through a real MCP server rather than a REST API wrapped afterward.
Most agent infrastructure is either too permissive or too fragmented to trust. A credential leaks and suddenly an agent can read everything. A tool is added to the API but missing from the SDK. The MCP server drifts from the OpenAPI spec. The agent fails in production because the surface it was promised is not the surface that exists.
We are building raccha.ai so the agent gets a real tool every time, scoped to exactly what it should touch, with no hand-maintained wrapper that can silently fall behind.
##How we are different MCP-first, not bolted on. The MCP server is not a translation layer over a REST API we built first. The same handlers power HTTP, MCP, and the CLI. One spec generates every client.
Frequently asked questions
What is the Raccha AI remote MCP server?
The Raccha AI remote MCP server is a hosted Model Context Protocol endpoint at https://raccha.ai/mcp, so AI assistants can connect to it without installing or running anything locally.
How do I connect to the Raccha AI MCP server?
Add the endpoint https://raccha.ai/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Does the Raccha AI MCP server require authentication?
Yes. Raccha AI uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.
Which transport does the Raccha AI MCP server use?
Raccha AI exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
Basic information
Transport
Streamable HTTP
Authentication
OAuth
Category
Developer Tools
Author
Shree Mandadi
Submitted by
Shree Mandadi
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