bm25-budget-research — AgentDiet DEX Liquidity, Slippage & Orderflow Audit API MCP Prompt
bm25-budget-research
is one of 2 prompts on the
AgentDiet DEX Liquidity, Slippage & Orderflow Audit API
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke bm25-budget-research from your client
- Claude Code AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research run in your project directory
- Claude Desktop AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research ~/.cursor/mcp.json
- VS Code AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research .vscode/mcp.json
- Zed AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research ~/.config/zed/settings.json
- Windsurf AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research ~/.codeium/windsurf/mcp_config.json
- Cline AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research ~/.gemini/settings.json
- Grok AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research .mcp.json (in your project root)
- ChatGPT AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research Settings → Connectors → Advanced → Developer mode
- Claude.ai AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research Settings → Connectors → Add custom connector
- LangChain AgentDiet DEX Liquidity, Slippage & Orderflow Audit API Prompt/bm25-budget-research pip install langchain-mcp-adapters
Other prompts on this server
AgentDiet DEX Liquidity, Slippage & Orderflow Audit API also offers 10 resources — data you attach as context, where a prompt is something you run.
Read from the server itself, by connecting to it and calling prompts/list on 19 October 2026.
A listing does not declare its prompts, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each prompt's arguments.