About distill-mcp
distill-mcp is a retired package name for an MCP server that converts web pages to clean Markdown while respecting robots.txt and AI opt-outs. This final release only installs and forwards requests to its successor, bytestay-distill-mcp.
Key features
- 01Forwards to bytestay-distill-mcp
- 02Retains the existing environment variables
- 03Prints a migration notice
Use cases
- 01Update an MCP client configuration to the successor
- 02Keep existing environment variables while migrating
MCP support
This package is a compatibility forwarder for bytestay-distill-mcp. Configure an MCP client to run the successor package directly for continued use.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx hybridforgelab-distill-mcpRAPIDAPI_KEYSecretYour RapidAPI keyAPI_MARKET_KEYSecretYour api.market key, used when RAPIDAPI_KEY is not setHFL_MARKETPLACErapidapi or apimarket, when both keys are setLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEhybridforgelab-distill-mcp: moved to bytestay-distill-mcp
This package has moved to bytestay-distill-mcp. Hybrid Forge Lab is now ByteStay.
This last version only installs bytestay-distill-mcp and forwards to it. It prints a one-line notice on stderr and gets no more updates.
Switch
Replace hybridforgelab-distill-mcp with bytestay-distill-mcp in your MCP client config:
"command": "uvx",
"args": ["--from", "bytestay-distill-mcp", "distill-mcp"]
Or with Claude Code:
claude mcp add distill --env RAPIDAPI_KEY=your-rapidapi-key -- uvx --from bytestay-distill-mcp distill-mcp
The environment variables are the same, so your keys keep working.
Links
- Package: bytestay-distill-mcp
- Source: Bytestay/distill-mcp
- Distill API: distill.bytestay.pt
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.