422 boosters for "tool" — open source, verified from GitHub, ready to install
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
"name": "specswarm-marketplace", "name": "MartyBonacci", "url": "https://github.com/MartyBonacci"
"name": "claudikins-tool-executor", "description": "Configurable MCP wrapper that consolidates your tools into just 3, using semantic search for on-demand discovery and sandboxed TypeScript execution. Ships with 7 example servers (96 tools) - reduces context consumption by 97% (48k tokens down to 1.
Root entry point for the DaisyWriter skill collection. Other AI coding assistants can load this collection via:
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "email": "me@can.ac" "source": "./plugins/smgrep",
A Model Context Protocol server that enables Claude to interact directly with Jira projects, allowing developers to manage issues, queries, and project workflows programmatically within their AI workflows.
An MCP server that extracts and analyzes components from Storybook design systems, enabling AI assistants to understand and work with design system documentation. Useful for designers, developers, and AI teams building design-aware applications.
A Cursor rules-based research agent specialized in exploring repositories, documentation, and remote codebases using Nia MCP tools without modifying files. Ideal for developers conducting deep technical research, knowledge discovery, and cross-team information handoffs.
1. Update README.md - Minimal info only, focus on quick start + links to GitHub Pages 2. Update src/CONFIG_README.md - Essential configuration overview + links to full docs 3. Update GitHub Pages ( folder) - Complete, detailed documentation
This skill describes the current runtime line. It intentionally does not describe the old Python , completion-file finalizer, or JSON delivery-outbox runtime. Those were historical mechanisms and must not be
"name": "hubspot-admin", "description": "Complete HubSpot CRM administration toolkit — audit, clean, enrich, segment, automate, and maintain your database",
Give AI agents access to money. Manage finances, trade cryptocurrency. MCP server for AI agents to interact with 20+ blockchains. 380+ tools for DeFi, DEX aggregation, security scanning, cross-chain bridges, QR payments. x402 enabled - AI agents can autonomously pay for premium APIs and trade with o
"name": "@kastalien-research/thoughtbox", "packageManager": "pnpm@9.15.4", "description": "MCP server providing cognitive enhancement tools for LLM agents: structured reasoning, mental models, and literate programming notebooks",
"name": "journalism-toolkit", "description": "30 specialized journalism agents for investigative reporting, fact-checking, disinformation analysis, AI content detection, foreign news de-biasing, bot & troll detection, multimedia production, and content distribution", "name": "Contributors"
当用户请求涉及以下任一主题时使用本 skill: 使用本 skill 处理任务时,优先输出:
gomcp provides a Go implementation of the Model Context Protocol to enable AI agents in Cursor to interact with external tools and resources through a standardized interface. Developers using Cursor who need to extend AI capabilities with custom integrations benefit from this protocol implementation.
"version": "0.3.48", "description": "Emerge — policy-driven crystallization flywheel for Claude Code: exec patterns promote to stable pipelines, PreToolUse enforcement, optional remote runner", "command": "python3",
Two tiers: hooks handle automatic context flow (surfacing, extraction, compaction survival). MCP tools handle explicit recall, write, and lifecycle operations. Three instances for neural inference. The wrapper defaults to . All three models auto-download via if no server is running (Metal on Appl
"name": "@kimuson/modular-mcp", "version": "0.0.10", "description": "Modular MCP - Modular tool access for reducing context overhead",
"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explo
"name": "threejs-devtools-mcp", "mcpName": "io.github.DmitriyGolub/threejs-devtools", "description": "Three.js MCP server — inspect and edit scenes, materials, shaders, lights in real time from any AI agent",
"name": "@aashari/mcp-server-atlassian-confluence", "description": "Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases us
"name": "claude-canvas", "name": "David Siegel", "email": "djsiegel@gmail.com"
A comprehensive Model Context Protocol (MCP) server that provides web performance auditing, accessibility testing, SEO analysis, security assessment, and Core Web Vitals monitoring using Google Lighthouse. Enables LLMs and AI agents to perform detailed website analysis with 13+ specialized tools.