mindbridge-mcp
MindBridge is an AI orchestration MCP server that lets any app talk to any LLM — OpenAI, Anthropic, DeepSeek, Ollama, and more — through a single unified API. Route queries, compare models, get second opinions, and build smarter multi-LLM workflows.
Install / Use
claude mcp add pinkpixel-dev -- npx -y github:pinkpixel-dev/mindbridge-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of mindbridge-mcp
mindbridge-mcp scores 40/100 on our quality scale, 2842nd of 2,895 Automation skills we index.
Its MCP Server is 1.4 KB long, written without headings and no code examples: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
ReviewOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review judged it risky: The MCP server config uses 'alwaysAllow' to auto-approve tools (getSecondOpinion, listProviders, listReasoningModels), which disables permission prompts and weakens safeguards.
AI review: risky
- The MCP server config uses 'alwaysAllow' to auto-approve tools (getSecondOpinion, listProviders, listReasoningModels), which disables permission prompts and weakens safeguards.
- It runs a remote package via 'npx -y @pinkpixel/mindbridge@latest'; while package-manager execution is normal, pairing it with auto-approval increases exposure if the package is compromised.
- API key values are placeholders, so there is no active credential leak or destructive command present.
AI review by kimi-k2.7-code on 2026-10-06. Automated pattern scan on 2026-10-06. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
mindbridge-mcp compared with similar skills
All 4 of these similar skills score higher than mindbridge-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mindbridge-mcp (this skill)by pinkpixel-dev | 40 | 0 | — | MCP Server |
| Agent-Reachby Panniantong | 100 | 92.6k | 21d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.5k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.3k | 1d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 86.0k | today | MCP Server |
Frequently asked questions
- How do I install mindbridge-mcp?
- Run
claude mcp add pinkpixel-dev -- npx -y github:pinkpixel-dev/mindbridge-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does mindbridge-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mindbridge-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review judged it risky: The MCP server config uses 'alwaysAllow' to auto-approve tools (getSecondOpinion, listProviders, listReasoningModels), which disables permission prompts and weakens safeguards. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mindbridge-mcp still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{ "mcpServers": { "mindbridge": { "command": "npx", "args": [ "-y", "@pinkpixel/mindbridge@latest" ], "env": { "OPENAI_API_KEY": "OPEN…[redacted]", "ANTHROPIC_API_KEY": "ANTH…[redacted]", "GOOGLE_API_KEY": "GOOG…[redacted]", "DEEPSEEK_API_KEY": "DEEP…[redacted]", "OPENROUTER_API_KEY": "OPEN…[redacted]" }, "provider_config": { "openai": { "default_model": "o3-mini" }, "anthropic": { "default_model": "claude-3-7-sonnet-20250219" }, "google": { "default_model": "gemini-2.0-flash" }, "deepseek": { "default_model": "deepseek-reasoning" }, "openrouter": { "default_model": "openrouter/quasar-alpha" }, "ollama": { "base_url": "http://localhost:11434", "default_model": "llama3" }, "openai_compatible": { "api_key": "API_…[redacted]", "base_url": "FULL_API_URL_HERE", "available_models": ["MODEL1", "MODEL2"], "default_model": "MODEL1" } }, "default_params": { "temperature": 0.7, "reasoning_effort": "medium" }, "alwaysAllow": [ "getSecondOpinion", "listProviders", "listReasoningModels" ] } } }
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.