# MeshSeeks

> Use this tool when you need to execute complex coding tasks in parallel across multiple specialized agents, solving problems such as large-scale refactoring, complex feature development, and automated code analysis. MeshSeeks takes in complex coding problems and outputs solved tasks with real-time status monitoring, using a multi-agent mesh network to coordinate and manage dependencies. It is ideal for use cases requiring collaborative agent workflows, parallel task execution, and intelligent task coordination.

Canonical page: https://skillsregistry.net/skills/meshseeks  
JSON: https://api.skillsregistry.net/v1/skills/meshseeks

## Description

MeshSeeks is a multi-agent mesh network coordination system inspired by Rick and Morty's Mr. Meeseeks, enabling parallel task execution across specialized Claude Code agents for complex coding problems. Built by Peter Steinberger using TypeScript with the Model Context Protocol SDK, it provides problem analysis and decomposition into parallel tasks, agent mesh execution with dependency management and result aggregation, end-to-end problem solving with configurable approaches (analysis-first, parallel exploration, iterative refinement), and real-time status monitoring with agent lifecycle tracking. The implementation features specialized agent roles (analysis, implementation, testing, documentation, debugging), intelligent task coordination with dependency resolution, boomerang-style task orchestration for complex workflows, and comprehensive performance testing with scalability metrics, making it valuable for large-scale refactoring projects, complex feature development requiring multiple specialized perspectives, and automated code analysis workflows that benefit from parallel agent collaboration.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/meshseeks)
- **Repository:** <https://github.com/twalichiewicz/meshseeks>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "meshseeks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meshseeks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meshseeks/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt