Report task completion results to improve future AI agent recommendations. Submit success status, agent ID, and optional error details after routing tasks.
MIT
206,405 tools. Last updated 2026-06-17 13:10
"Techniques to Improve Agent Programming" matching MCP tools:
- Submit feedback on code review issues to mark them as fixed, dismissed, or false positives, helping improve future reviews.MIT
- Execute code implementation tasks using Anthropic Claude CLI agent for translating requirements into working code with strong programming capabilities.MIT
- Returns list of programming languages supported by Symbiotic CLI for scanning code and infrastructure vulnerabilities.MIT
- Check a website for a specific agent-readiness signal such as a2a-agent-card or llms-txt. Returns status, evidence, and a fix recommendation to improve ASO compliance.MIT
- Start, complete, or list collaborations between agents for tasks like code review, pair programming, and API integration.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables AI agents to control a Live2D desktop pet's expressions and actions via MCP protocol.Last updatedMIT
- Alicense-qualityBmaintenanceMCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.Last updated1MIT
Matching MCP Connectors
Connect any two AI agents and let them talk directly. Claude to Claude, Claude to OpenAI, or any MCP-compatible agent
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- Test web application file upload security by attempting to upload PHP shells using Content-Type bypass techniques and alternative extensions to identify vulnerabilities.MIT
- Rate the relevance of a stored memory to improve future recall quality. Submit positive or negative feedback to refine memory retrieval.MIT
- Map a given CVE to the relevant MITRE ATT&CK techniques and threat groups by searching technique descriptions and references.Apache 2.0
- Generate optimal DFS lineups using linear programming for NBA, NFL, MLB, or NHL. Apply cash game, tournament, or balanced strategies with player constraints and stacking preferences to maximize projected points within salary caps.MIT
- Register or update an agent listing in the agent-to-agent marketplace. Idempotent operation ensures one listing per pubkey.MIT
- Analyze patterns in Bitcoin Stamps to identify common libraries, frameworks, and coding techniques used across the ecosystem.MIT
- Retrieve WhatsApp AI agent conversation logs and feedback to analyze performance and improve customer interactions.MIT
- Retrieve full records for up to 50 MITRE ATLAS techniques in one request. Accepts an array of technique IDs and returns status, technique details, and next calls per item.MIT
- Search the MITRE ATLAS catalog for AI/ML attack techniques by keyword, tactic, or maturity to discover techniques matching your threat model.MIT
- Retrieve exploit source code by platform ID to analyze attack techniques and review proof-of-concept code.MIT
- Look up MITRE ATLAS techniques cataloging adversarial AI/ML TTPs including prompt injection, model evasion, and training data poisoning. Use when investigating AI/ML threats or LLM red-teaming.MIT
- Retrieve the A2A Agent Card for an organization to enable inter-agent discovery. This tool provides agent capabilities, endpoints, and authentication requirements for agent-to-agent communication.Apache 2.0
- List all 71 programming languages and their IDs for code execution, with compiler/interpreter versions. Filter by language name to find specific entries.MIT
- Execute Pylpex code to evaluate custom programming language expressions and functions, returning computed results.MIT