List accepted agent connections with details using cursor-based pagination. Specify cursor for next page and limit to control results per page.
MIT
135,112 tools. Last updated 2026-05-25 21:43
"Strategies for enhancing coding efficiency with cursor agent optimization" matching MCP tools:
- Analyze AI agent prompts to receive optimization recommendations that reduce credit consumption through intelligent model routing and context hygiene, with quality impact assessment.MIT
- Generate personalized year-end tax optimization strategies to reduce tax liability based on income, deductions, and financial situation.MIT
- Generate AI-powered optimization recommendations to improve warehouse operations, logistics routes, and supply chain efficiency.MIT
- Find expert Claude Agent Skills with complete implementation guides and code examples for your specific tasks. Search proven workflows, debugging strategies, and specialized techniques to solve coding challenges and accelerate development.MIT
- Start a new external coding-agent run with specified backend and role, returning immediately to allow parallel task execution.
Matching MCP Servers
- AlicenseBqualityCmaintenanceProvides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.Last updated32422MIT
- AlicenseCqualityCmaintenanceWraps the cursor-agent CLI to provide cost-effective tools for repository analysis, code search, planning, and editing. Offloads heavy thinking tasks from the host AI to reduce token usage while maintaining precise, scoped workspace operations.Last updated75MIT
Matching MCP Connectors
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
KYA agent identity verification and trust scoring for autonomous A2A networks
- Stop a coding-agent execution in progress by providing its run ID. This tool halts ongoing external coding tasks managed by the Orchestration MCP server.
- Generate tiered context files for token optimization with ROI tracking to manage AI agent coding efficiency.
- Execute cursor-agent commands with prompts to analyze code, search repositories, and edit files while managing token usage for workspace operations.MIT
- Retrieve the current GitHub Copilot coding agent permission settings for an organization, enabling administrators to review and manage agent access policies.
- List repositories in an organization that are enabled for Copilot coding agent.
- Assign selected repositories to the Copilot coding agent for an organization, controlling where Copilot can access code.
- Activate GitHub Copilot coding agent for a repository within an organization. Requires organization name and repository ID.
- Disable Copilot coding agent for a specific repository in an organization. Provide the organization name and repository ID to execute.
- Execute cursor-agent CLI commands with prompts to generate text, JSON, or markdown outputs for repository analysis and code tasks.
- Set coding agent permissions for GitHub Copilot across an organization to control agent access and capabilities.
- List active trading strategies with their status and subscribed symbols.MIT
- Configures the optimization algorithm (sampler) for a study, choosing from TPE, NSGA-II, Random, or Gaussian Process samplers to guide hyperparameter search.MIT
- Download a blueprint as an Agent Skills directory, returning a JSON manifest of all files (SKILL.md, reference docs, scripts) to write to disk for any coding agent. Avoid reading individual tools.MIT
- Retrieve paginated conversation history from agents with metadata. Filter by agent ID or date range. Ideal for reviewing previous interactions and analyzing conversation patterns.MIT