mcp-builder-anthropicGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use whe...
Install via ClawdBot CLI:
clawdbot install pupuking723/mcp-builder-anthropicGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://modelcontextprotocol.io/sitemap.xml`Uses known external API (expected, informational)
raw.githubusercontent.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Develop an MCP server that allows LLMs to interact with GitHub's API for repository management, issue tracking, and pull request workflows. This enables AI agents to automate code collaboration tasks, such as creating issues from user feedback or summarizing pull request changes.
Implement an MCP server to connect LLMs with a CRM or helpdesk API like Zendesk or Salesforce. This allows AI agents to fetch customer tickets, update statuses, and generate responses, streamlining support operations and reducing manual intervention.
Build an MCP server that integrates with data platforms such as Google Analytics or Snowflake. It enables LLMs to query datasets, generate reports, and visualize trends, helping businesses make data-driven decisions through natural language interactions.
Create an MCP server for CMS APIs like WordPress or Contentful, allowing LLMs to draft, edit, and publish content. This automates content workflows, such as scheduling posts or updating website pages based on user requests.
Develop an MCP server that connects to e-commerce platforms like Shopify or WooCommerce. It enables LLMs to manage product listings, process orders, and handle inventory, automating routine tasks and improving operational efficiency.
Offer the MCP server as a cloud-based service with tiered pricing based on API call volume or features. This provides recurring revenue and scalability for businesses integrating AI capabilities into their workflows.
Provide bespoke MCP server development services for enterprises needing tailored integrations. This includes planning, implementation, and support, generating revenue through project-based contracts and ongoing maintenance.
Release the MCP server as open-source software to foster community adoption and contributions. Monetize by offering premium support, advanced features, or enterprise licenses for large-scale deployments.
💬 Integration Tip
Prioritize comprehensive API coverage in tool design to give AI agents flexibility, and use structured outputs with clear schemas to improve data processing efficiency.
Scored Apr 19, 2026
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
Secure, sandboxed filesystem access enabling agents to list, read, write, create, move, delete, search files and directories within allowed paths.
Provides access to MCP tools for web search, advanced search, code context, deep research, crawling, company research, and LinkedIn search.
Use Model Context Protocol servers to access external tools and data sources. Enable AI agents to discover and execute tools from configured MCP servers (legal databases, APIs, database connectors, weather services, etc.).
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type gene...
Crypto news search, AI ratings, trading signals, and real-time updates via the OpenNews 6551 API. Supports keyword search, coin filtering, source filtering,...