LLM Bridge
LLM Bridge MCP is a server that provides a unified interface to multiple large language model providers (OpenAI, Anthropic, Google, DeepSeek) using Pydantic AI. Developed by Seonu Jang, it exposes a single tool called 'run_llm' that allows AI agents to interact with different LLM providers through a standardized API, with support for customizable parameters like temperature, max tokens, and system prompts. The implementation is containerized with Docker for easy deployment and includes automatic PyPI publishing through GitHub Actions, making it ideal for developers who need to switch between different LLM providers or use multiple models within the same application.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/sjquant/llm-bridge-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve LLM Bridge from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.