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Scira MCP Chat

Community
Not a standard server
Open-source AI chatbot app powered by Model Context Protocol

This is not a typical connect-and-use MCP server; read the source repository before using it.

How to install ↓ Compare GitHub source repository ↗
Category
Dev Tools #380 of 438
Stars
★ 825 Popular
Transport
stdio (local process) · SSE · Streamable HTTP
Runtime
Node.js
Credentials
Optional API key
License
Apache-2.0
Last commit
⚠
Tools
1
36FMRS · D

Scira MCP Chat is a feature-rich, minimalistic MCP client suitable for developers, but requires technical knowledge for deployment and configuration.

Strongest · Setup experience 8/20 Weakest · Security and permissions 6/20

Reliability
7/20
Security and permissions
6/20
Maintenance
8/20
Documentation
7/20
Setup experience
8/20
Why each score
Reliability 7/20
The README describes an MCP client, not a server; it connects to remote MCP servers, rather than providing one. Hence, the expectation of an MCP server starting and completing the handshake is not applicable. As a client, it aims to connect to HTTP and SSE MCP servers cleanly. The repo contains TypeScript source code (app/api/chat/route.ts, etc.) but no tests or CI workflow that verifies execution. Therefore, reliability is capped at 7 based on code presence and feature description, but lacking execution evidence.
Security and permissions 6/20
As a client, it doesn't store credentials; it gets API keys from the user and configures MCP servers from the user. It supports HTTP and SSE transports, which may send data to external servers. There is no evidence of protection measures for user data, nor confirmation of potentially dangerous operations. While not storing credentials, data flow is not explicitly disclosed, and no security recommendations are provided. Hence, security score is 6.
Maintenance 8/20
The repository is active with 827 stars, 9 open issues, and recent commits (inferred from snapshot). It has Apache-2.0 license, clear README, and implicit contribution guidelines. However, there is no public information about version releases or security response channels. Maintenance score is 8.
Documentation 7/20
The README provides a clear feature list, MCP configuration instructions (with steps for HTTP/SSE), and example servers. It outlines steps to add, enable servers, but lacks in-depth documentation on authentication, troubleshooting, and limitations. Total score 7 indicates helpful but improvable.
Setup experience 8/20
Installation involves standard Next.js dev workflow like clone and npm install. README includes steps to configure devices, but lacks necessary client configuration examples (e.g., in Claude Desktop). Setup score is 8.

Static review · not runListed 2026-08-07

Read the FMRS scoring method →

Fit and risk

What it can accessUses the network

Best for

  • Developers seeking a customizable, open-source MCP client framework
  • AI app builders who want to leverage tools from multiple MCP servers
  • Projects needing modern React UI components and streaming responses

Not for

  • Users needing a production-grade, fully hosted MCP client solution
  • Users who need to run MCP servers locally via stdio (client supports only HTTP and SSE)
  • Non-technical users as it requires development deployment

Required permissions

  • Network access: Connects to MCP servers via HTTP or SSE
  • System access: Requires basic system resources to run as a Next.js app
  • Users typically need to configure API keys for AI providers

Risks and side effects

  • Connecting to untrusted MCP servers may introduce malicious tools
  • Stored API keys may be at risk if environment is insecure
  • As an open-source project, there may be unpatched vulnerabilities

Setup

Before you start

Runtime：Node.js

As this project is an application to be deployed rather than an installable MCP server, there is no standard install configuration. To use it, clone the repository, install dependencies, set environment variables, and run the Next.js development server. Then add MCP servers through the chat interface.

Check that it works

Click the settings icon next to the model selector, add a server URL (e.g. https://mcp.example.com/mcp), click Add Server, then Enable Server; the server showing as enabled confirms the connection works.

Troubleshooting

  1. Check that MCP server URLs are correct and reachable
  2. Ensure MCP servers support HTTP or SSE transport
  3. Verify environment variables and API keys are correctly set
  4. Check browser console and server logs for errors

Things to try

Once connected, you can ask your AI assistant things like:

  • Add an HTTP-type MCP server via the settings icon and enable it
  • Connect the Composio MCP server and use its search tool to answer a question
  • Add the Hugging Face MCP server and look up model info on the Hub

Tools 1

unknown

Use cases

Connect to multiple MCP servers to expand the AI assistant's tool capabilities
Interact with multiple AI providers (such as OpenAI, Anthropic, xAI) in a single chat interface
Prototype custom AI chat applications

Supported clients

Claude Desktop
Generic MCP Client

Listed from the project's documentation, not tested by this site.

Overview

Scira MCP Chat is an open-source AI chatbot application that connects to various AI providers and tools through the Model Context Protocol (MCP). Built with Next.js and the AI SDK by Vercel, it supports streaming text responses from multiple AI providers, built-in tool integration, reasoning model support, and a modern responsive UI. Users can add and manage MCP servers through the settings icon in the chat interface, with support for HTTP and SSE transport types. The project aims to provide a minimalistic MCP client with a good feature set.

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Source revision c9467dc212fc Data synced 2026-10-11 Read the FMRS scoring method