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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.
Expose an OpenAI-compatible endpoint to access and orchestrate MCP tools.
Connect ChatGPT to a Windows PC for files, shell, Git, and diagnostics.
Connect AI assistants to Jira, GitLab, and Confluence through one unified interface.
Aggregate multiple MCP servers into a few fixed tools for AI apps.
Dynamically bridge and register MCP capabilities with two-way client communication.
Build MCP apps and agent servers for leading AI assistants faster.