MCP-Bridge
A middleware to provide an openAI compatible endpoint that can call MCP tools
No outside reports on file
MCP-Bridge is a network component that sits between an AI and your tools—it needs proper isolation, authentication, and monitoring to avoid becoming an attack vector for both data theft and unauthorized actions.
Based on public adoption and transparency signals as of Oct 23, 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 reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (SecretiveShell/MCP-Bridge)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/SecretiveShell/MCP-Bridge ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-23.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About MCP-Bridge
MCP-Bridge creates a middleman that translates OpenAI-compatible API requests into MCP (Model Context Protocol) tool calls. This lets you use MCP tools through standard OpenAI chat endpoints instead of direct MCP connections.
Who it’s for
Developers building AI applications who want to use MCP tools but need OpenAI API compatibility for their existing code or integrations.
Alternatives
- Direct MCP integration: Use MCP protocol directly without a translation layer
- LangChain/LlamaIndex tool bindings: Framework-native tool integration without middleware
- Custom API wrapper: Build a minimal endpoint for your specific tools instead of a generic bridge
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README for installation and configuration steps, as this is a bridge that requires both MCP server setup and endpoint configuration.
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
- 923
- 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.
Risks to watch for
- Access to all MCP tools: The bridge can call any MCP tool connected to it, so a compromised AI model or prompt injection could abuse those tools
- Credential pass-through: API keys and authentication tokens for downstream MCP services flow through this middleware and could be exposed if it's not secured
- Prompt injection via tool results: Malicious data returned by MCP tools could trick the AI into misbehaving or leaking information
- Man-in-the-middle exposure: If running over unencrypted connections, traffic between client and bridge is visible to network observers
- No built-in request filtering: The bridge may not validate or limit what tools get called, so any prompt can potentially request any action
How to lower the risk
Least-privilege permissions
- Run the bridge with minimal system permissions
- Restrict MCP tools to only what's actually needed
Network isolation
- Use strong authentication between client and bridge
- Run on a private network or behind a firewall
Monitoring
- Log all tool calls and their inputs/outputs
- Alert on unusual or repeated failed requests
Red flags to watch for
- Bridge crashes or hangs frequently
- Unexpected tools being called from normal prompts
- Performance slowdowns or high memory use
Questions
How do I install MCP-Bridge?
MCP-Bridge does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/SecretiveShell/MCP-Bridge.
Are there security reports about MCP-Bridge?
No reports found for this package in our research (last checked 2026-10-30). MCP-Bridge currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include access to all mcp tools, credential pass-through, prompt injection via tool results.
Is MCP-Bridge actively maintained?
MCP-Bridge has 923 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/SecretiveShell/MCP-Bridge before pinning it in production.
What are alternatives to MCP-Bridge?
Notable alternatives to MCP-Bridge include Direct MCP integration (Use MCP protocol directly without a translation layer), LangChain/LlamaIndex tool bindings (Framework-native tool integration without middleware), Custom API wrapper (Build a minimal endpoint for your specific tools instead of a generic bridge). You can also compare MCP-Bridge side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- SecretiveShell
- Source code
- github.com/SecretiveShell/MCP-Bridge
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Popularity
- 923 GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-23
Community
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