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Build MCP servers quickly to expose app data and actions to AI clients.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "BridgeMCP" yet — see the docs or source repo.
I want to use BridgeMCP to build an MCP server for an existing Python app and expose three functions to Claude Desktop: order lookup, ticket creation, and customer profile retrieval. Please provide the project structure, sample code, and decorator-based tool definitions.
A runnable Python MCP server example with project structure, tool definitions, and integration guidance.
Using BridgeMCP, design an MCP server that lets Cursor safely access sales data in PostgreSQL. Include read-only query tools, parameter validation, error handling, and methods to avoid exposing sensitive fields.
An MCP server design and sample code for read-only database access, emphasizing safety and maintainability.
Based on BridgeMCP, help me generate an MCP server scaffold suitable for team development. It should support modular tool registration, logging, configuration management, unit tests, and future extension with new business actions.
A team-friendly MCP project scaffold with code organization recommendations and starter implementation examples.
Connect to the mcp API via MCP to extend AI tool capabilities.
Connect AI assistants to Jira, GitLab, and Confluence through one unified interface.
Dynamically bridge and register MCP capabilities with two-way client communication.
Register multiple AI endpoints and auto-route models by capability.
Build AI-native IDE products quickly with integrated MCP tool support.
Build high-quality MCP servers that connect LLMs with external APIs safely.