askbudi/roundtable
Roundtable is a meta-MCP server designed to unify multiple AI coding assistants into a single, coherent development environment. It implements the Model Context Protocol (MCP) to allow assistants like OpenAI Codex, Anthropic Claude Code, Cursor, and Google Gemini to discover each other and share context, tools, and tasks. The server acts as a central hub, automatically detecting running assistants and providing a standardized interface for them to communicate, eliminating the need for manual configuration or custom integrations. By acting as an intermediary, Roundtable enables seamless collaboration between different AI tools, allowing developers to leverage the strengths of each assistant without friction. Roundtable includes core components such as the `roundtable_mcp_server` for managing connections and a helper module for integration with Claude Code. The project evolved from a task runner named budi-cli/juno-task and retains utility features like terminal user interfaces for input handling. It is built in Python and is distributed as an open-source package, encouraging community contributions and extensions. The server can be deployed locally or on shared infrastructure, making it suitable for both individual developers and teams seeking to standardize their AI-powered coding workflows. A key feature is intelligent auto-discovery, where Roundtable scans the environment for running MCP-compatible assistants and onboards them without manual setup. It also provides a unified logging system and supports multiple simultaneous sessions, ensuring that context and conversation history are preserved across assistants. Designed with extensibility in mind, Roundtable allows developers to add custom assistants or tool integrations by implementing simple MCP handlers, fostering an ecosystem of inter-operable AI tools.
- Category
- Developer Tools
- Pricing
- Open Source
Problem solved
Modern developers often juggle multiple AI coding assistants, each with unique strengths but isolated interfaces, leading to context fragmentation and redundant work. Roundtable solves this by providing a meta-MCP server that automatically discovers and connects these assistants, enabling them to share a common context and collaborate on tasks. This eliminates the need to manually copy-paste code or switch between tools, streamlining the development process and allowing teams to use the best assistant for each task without sacrificing cohesion.
Use cases
- A developer uses Claude Code for initial code analysis and then hands off implementation to Codex without losing conversation context
- Running Cursor as an IDE-integrated assistant while simultaneously using Gemini for natural language queries about the codebase, with both assistants aware of each other's outputs
- Setting up a shared coding session where multiple team members use different assistants but all contribute to a unified repository via the Roundtable server
- Automated discovery of all available MCP-compatible assistants on a network, enabling dynamic tool integration without manual configuration
- Building custom tool pipelines that combine capabilities of different assistants, such as using one for test generation and another for code review
- Legacy assistant migration: wrapping older tools in MCP to join the unified environment
Audience
- Developers
- ML Engineers
- Data Scientists
Pros
- Unified interface for diverse AI coding assistants
- Zero-configuration auto-discovery
- Open-source and self-hosted for data privacy
- Extensible MCP-based architecture
- Active development with community feedback
Cons
- Early-stage project with limited documentation
- Currently supports only a few assistants (more need to be added)
- Requires running a local server, which may be resource-intensive for solo developers
Official website: https://github.com/askbudi/roundtable
Canonical LambdaBase page: https://www.lambdabase.com/tools/askbudi-roundtable