@neural_avb: RLMs can now access MCP servers with `fast-rlm` - Connect any MCP via stdio or http - RLM accesses all MCP tools, resou…
Summary
fast-rlm enables reinforcement learning models to access MCP servers via stdio or HTTP, allowing tool use and resource fetching with results saved as Python variables in the REPL to save input tokens.
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Cached at: 06/02/26, 03:55 AM
RLMs can now access MCP servers with fast-rlm
- Connect any MCP via stdio or http
- RLM accesses all MCP tools, resources, templates
- Results saved as python variables in the REPL (not loaded directly into LM + saves input tokens)
Demo app: RLM deep research with filesystem MCP + webfetch MCP + html-to-md MCP …
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