Agent Never Give Up

You can use the Agent Never Give Up MCP Server to provide structured metacognitive prompts that help AI agents recover from being stuck and resume task execution without human intervention. This remote MCP server exposes a catalog of focused problem-solving tools you can call when your agent hits common stalls, guiding it back to progress with clear, concrete steps.

How to use

To use this MCP server, connect your AI agent's workflow to the MCP endpoint and invoke the appropriate tools when the agent experiences a stall. The server offers a prioritized set of scenarios that map to specific recovery strategies. When you detect a stall (for example, circular reasoning or missing requirements), call the corresponding tool to receive a guided, step-by-step protocol. The response helps the agent re-anchor goals, summarize failures, and propose a new strategy, enabling autonomous recovery and resumption of the task.

How to install

Prerequisites: you need Node.js installed on your environment to interact with MCP tooling or to run any local development setup if you test a self-hosted instance.

# If you want to run locally (development flow example)
# Install dependencies
npm install

# Start the local MCP server (example command if provided by your setup)
npm run start

# The local endpoint will be available at
http://localhost:8787/mcp

Additional sections

Configuration details, security considerations, examples, troubleshooting notes, and important caveats are provided below to help you integrate and operate the MCP server smoothly.

Configuration

The MCP server is hosted remotely. Use the provided HTTP endpoint to connect your client. If you intend to run a local copy, ensure you follow the local development steps and expose the MCP endpoint at the standard path.

Available tools

logic-is-too-complex

Triggered when reasoning becomes overly intricate or circular; provides a structured plan to simplify logic and re-ground the objective.

bug-fix-always-failed

Activated after repeated unsuccessful bug-fix attempts; guides the agent through systematic debugging steps and fallback strategies.

missing-requirements

Used when essential information or prerequisites are unclear or absent; outlines the missing items and how to obtain them.

lost-main-objective

Invoked when current actions drift away from the original goal; reorients the agent to the primary objective.

scope-creep-during-task

Engaged when scope expands beyond the original task; helps reset boundaries and refocus on deliverables.

long-goal-partially-done

For multi-step tasks where remaining work is forgotten; provides a complete plan to finish the remaining steps.

strategy-not-working

When the same approach fails repeatedly; suggests alternative strategies and evaluation criteria.

analysis-too-long

Extended analysis time; prompts concise reasoning and actionable next steps.

unclear-acceptance-criteria

Undefined success criteria; defines acceptance criteria and measurable outcomes.

wrong-level-of-detail

Working at an inappropriate abstraction level; calibrates detail to the task requirements.

constraints-cant-all-be-met

Conflicting requirements or constraints; proposes trade-offs and a viable path forward.

blocked-by-environment-limits

Environmental blockers vs logic problems; differentiates external limits from internal reasoning issues.