MiraBridgeMiraBridge

Model Context Protocol

Extend MiraBridge with MCP servers for custom tool integrations

MiraBridge supports the Model Context Protocol (MCP) for extending the AI with custom tools and data sources.

What is MCP

MCP is an open protocol that lets AI assistants connect to external tools and data sources through a standardized interface. MiraBridge implements MCP client support, allowing you to register MCP servers that provide additional capabilities.

Registering an MCP Server

  1. Open MiraBridge settings or the MCP toolbar button in the VS Code chat panel
  2. Install a built-in server such as filesystem, git, memory, or context7
  3. For custom servers, provide serverId, command, args, and env
  4. The server's tools and resources become available to the AI

Auto-Discovery

When enabled, MiraBridge can automatically discover MCP servers in your workspace based on configuration files.

Starter Configs

Starter custom-server payloads live in examples/mcp/:

  • examples/mcp/filesystem.json
  • examples/mcp/git.json
  • examples/mcp/memory.json
  • examples/mcp/context7.json
  • examples/mcp/github.json

These examples match the custom MCP server payload shape MiraBridge expects.

Use Cases

  • Database access — let the AI query your development database
  • API integration — connect to internal APIs and services
  • Custom tools — extend the AI with project-specific operations
  • Documentation — provide the AI with access to internal docs

Next Steps

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