Proxima
Multi-AI MCP Server - Connect ChatGPT, Claude, Gemini & Perplexity to your coding tools without any API
No outside reports on file
Proxima's actual security depends heavily on implementation details not clear from the description—verify credential handling, test permissions carefully, and monitor what data flows through each connected service before trusting it with real projects.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Zen4-bit/Proxima)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Zen4-bit/Proxima ↗
About Proxima
Proxima is an MCP (Model Context Protocol) server that lets you connect multiple AI assistants—like ChatGPT, Claude, Gemini, and Perplexity—to your coding tools and local development environment. It aims to do this without requiring individual API keys for each service.
Who it’s for
Developers who want to use multiple AI assistants together with their coding setup. People who prefer not to manage separate API credentials for different AI platforms.
Alternatives
- Continue.dev: Open-source IDE plugin for multiple AI models with local control
- LangChain: Framework for building AI applications with tool integration
- OpenRouter: Unified API for accessing many AI models with a single key
- Ollama: Run open-source AI models locally without external APIs
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README for installation and configuration instructions. The project is on GitHub at the linked repository, and you should consult its documentation for how to set up the MCP server with your specific AI tools.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.2k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- Local tool access: Proxima connects AI assistants to your coding environment; if misconfigured, an AI could run unintended commands or access files it shouldn't
- Credential handling: The tool claims to work without APIs, but verify how it actually authenticates—unclear methods could leak authentication data
- Multi-AI coordination: Routing requests through multiple AI services creates more points where data could be logged, cached, or intercepted
- Untrusted input amplification: If one AI's output feeds into another AI, prompt injection attacks could chain and become harder to spot
- No clear security audit: With 1,199 GitHub stars but very low adoption metrics (0 npm downloads), the security track record is unknown
How to lower the risk
Least-privilege permissions
- Run Proxima with only the file and tool access it actually needs
- Don't let it access your entire codebase or secrets folder
Network isolation
- Keep Proxima on your local machine or isolated network when possible
- Log all outbound requests to see where data goes
Monitoring
- Check logs regularly for unexpected AI commands or data access
- Watch for requests to services you didn't authorize
Red flags to watch for
- Unclear documentation about how credentials are stored or passed
- Requests to external URLs you didn't configure
- AI assistants suddenly accessing files outside your project
Questions
How do I install Proxima?
Proxima does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Zen4-bit/Proxima.
Are there security reports about Proxima?
No reports found for this package in our research (last checked 2026-10-29). Proxima currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include local tool access, credential handling, multi-ai coordination.
Is Proxima actively maintained?
Proxima has 1.2k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/Zen4-bit/Proxima before pinning it in production.
What are alternatives to Proxima?
Notable alternatives to Proxima include Continue.dev (Open-source IDE plugin for multiple AI models with local control), LangChain (Framework for building AI applications with tool integration), OpenRouter (Unified API for accessing many AI models with a single key), Ollama (Run open-source AI models locally without external APIs). You can also compare Proxima side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- Zen4-bit
- Source code
- github.com/Zen4-bit/Proxima
- Est. context load
- ~700 tokens / turn (~4 tool schemas, 0.35% of 200k context)
- Popularity
- 1.2k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-22
Community
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