mcp-setup
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Configure popular MCP servers for enhanced agent capabilities
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mcp-chaining
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Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
mcp-builder
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Guide for creating high-quality MCP (Model Context Protocol) servers
Linear CLI
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Query, create, and manage Linear issues from the command line. Use when checking assigned work, viewing issue details, creating new issues, or updating issue status.
mcp-check
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Verifies MCP server availability and toolkit connections. Run at session start or when tools aren't working. Checks Rube, Firecrawl, browser automation, and other integrations.
atlassian-mcp
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Use when querying Jira issues, searching Confluence pages, creating tickets, updating documentation, or integrating Atlassian tools via MCP protocol.
mcp-developer
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Model Context Protocol development expert. Use when creating MCP servers, clients, or tools that enable AI agents to interact with external systems, APIs, and development environments.
linear-solver
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Solves linear systems (Ax=b) using NumPy, JAX, PyTorch, and Lineax. Covers dense, sparse, and specialized (tridiagonal) solvers.
testing-python
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Write and evaluate effective Python tests using pytest. Use when writing tests, reviewing test code, debugging test failures, or improving test coverage. Covers test design, fixtures,...
agent-memory-mcp
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A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-mcp
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A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-mcp
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A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
V3 MCP Optimization
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MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms...
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work-on-linear-issue
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Fetches a Linear issue and creates a comprehensive plan for implementation.
work-on-linear-issue
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Fetches a Linear issue and creates a comprehensive plan for implementation.
reviewing-code
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Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and...
mcp-server-oauth
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Handles OAuth authentication flows for protected MCP servers that require user authorization.
jam-mcp-debugger
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Automatically pull Jam (jam.dev) report context via Jam MCP tools and use it to reproduce, diagnose, and fix issues in the repo whenever βJam/jamβ is mentioned or a jam.dev link is present.
mcp-jetbrains-ide
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Control JetBrains IDE (IntelliJ, WebStorm, PyCharm) via MCP. Use when manipulating IDE files, running configurations, searching code, or performing refactoring. Triggers on "open in IDE", "run...