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OraClaw MCP server as integration example — 12 decision intelligence tools #11
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Hi! Love what lc2mcp does — bridging LangChain and MCP is exactly what the ecosystem needs.
I built OraClaw, an MCP server with 12 decision intelligence tools that could work as a solid integration showcase:
- Bandits (UCB1, Thompson, LinUCB) — optimal A/B testing
- LP Solver (HiGHS WASM) — scheduling, resource allocation
- Graph Analytics — PageRank, Louvain communities, shortest path
- Forecasting — ARIMA + Holt-Winters
- Anomaly Detection — Z-score, IQR
- CMA-ES — continuous optimization (10-100x faster than grid search)
- Monte Carlo — risk simulation
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- 5 more tools
I also have LangChain tool wrappers (oraclaw_tools.py) that could serve as a good test case for lc2mcp's conversion accuracy — they're relatively complex with structured input schemas.
MCP server: @oraclaw/mcp-server
LangChain wrappers: https://github.com/Whatsonyourmind/oraclaw/blob/master/integrations/langchain/oraclaw_tools.py
Would you be interested in adding OraClaw as an example in the lc2mcp docs? Happy to help test and document.
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