This MCP server analyzes COBOL code for legacy modernization, including parsing programs, estimating migration complexity, planning migration phases, and extracting business rules. It also generates transpilation outputs from COBOL to Python, Java, or Go, plus API bridge code.
From the registry: AI-assisted COBOL → modern stack bridge. Parse COBOL programs, map to Python/Java/Go, generate t...
$ uv --versionhttps://docs.astral.sh/uv/Please install the `cobol-bridge-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install uv** — Install the uv Python package manager so you can run the MCP server via uvx, which is the simplest portable path shown in the README. Run: `uv --version` (https://docs.astral.sh/uv/)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["cobol-bridge-mcp"]
Note: README provides a stdio configuration using `uvx cobol-bridge-mcp`. It also mentions an alternative local install path: `pip install cobol-bridge-mcp` and then run `cobol-bridge-mcp`. No environment variables are documented, and the free tier states no API key is required.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.