Retrieve trading strategies with filters for symbol, type, status, and time range, plus pagination. Check strategy status, monitor running strategies, or review completed ones.
MIT
588,699 tools. Updated 2026-09-19 05:56
"Strategies for enhancing coding efficiency with cursor agent optimization" matching MCP tools:
- List accepted agent connections with details using cursor-based pagination. Specify cursor for next page and limit to control results per page.MIT
- Delegate coding tasks to Cursor's agent, auto-approving permissions and resuming sessions for iterative execution.MITDestructive
- Generate multiple portfolio scenarios with configurable returns and volatility to test optimization strategies across varied market conditions.MIT
- Assign a pin directly to a local coding agent, promoting it to ready and triggering the agent to implement the fix.MIT
- Refines vague coding requests into structured, agent-specific prompts by extracting requirements, filling edge cases, and running quality checks. Ideal for under-specified tasks before handing to a coding agent.MIT
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- AlicenseBqualityDmaintenanceProvides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.311 npm28MIT
- AlicenseAqualityBmaintenanceEnables supervising and orchestrating local coding agents like Muse and AGY through a client-agnostic MCP interface, with isolated Git worktrees, safe execution, and deterministic verification.107 npmMIT
Matching MCP Connectors
Deterministic operational-efficiency ratio tools for AI agents — asset, fixed-asset, inventory, receivables and payables turnover, days outstanding measures and cash conversion cycle via Model Context Protocol. Useful for corporate finance, financial analysis, working-capital analysis, financial formulas and financial modeling.
Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests
- Generate a complete ROI audit report for your AI agent fleet, covering per-agent costs, revenue, attribution confidence, and optimization opportunities for board reporting.MIT
- Export a completed scan as Markdown for use as a cursor agent prompt, GitHub issue, or executive summary. Requires scan ID; optional token for full access.MIT
- Delegate a coding task to a background Cursor agent and get an agent ID immediately without blocking. Provide a self-contained prompt naming files, goal, and verification.MIT
- List emails with cursor pagination, optionally filtered by agent. Returns lightweight records for efficient browsing; use cursor for reliable pagination across pages.MIT
- Analyze AI-assisted coding adoption over time, compare human vs AI contributions by language, and track efficiency trends to understand AI's impact on development.ISC
- Get the count of PubMed search results for a query, enabling quick refinement and optimization of search strategies without retrieving full data.MIT
- Analyze AI agent prompts to receive optimization recommendations that reduce credit consumption through intelligent model routing and context hygiene, with quality impact assessment.MIT
- List coding agent sessions with filters for harness, status, age, and folder. Optionally show last message preview.MIT
- Get recommendations to organize mise tasks effectively, including naming conventions, dependency patterns, and optimization strategies.MIT
- List coding-agent sessions from Claude Code, Codex, and Cursor, with options to filter by agent or activity status.MIT
- Generate AI-powered optimization recommendations to improve warehouse operations, logistics routes, and supply chain efficiency.MIT
- Analyze a PDF file to get a detailed size breakdown by content type and receive specific optimization recommendations to reduce file size.MIT
- Analyzes a user request to determine its complexity level, detect intent, and suggest optimization strategies for better prompts.MIT
- Set local default browser, editor, terminal, or coding agent with before/after verification, update agent state, and support dry-run without launching installers.MIT
- Run Cursor Agent coding tasks via llm-cli-gateway by submitting a prompt, choosing plan or ask mode, and receiving the generated result with support for workspaces, model selection, and session resume.MITDestructive