by lumberjack-so
Alfred MCP Server: create, manage & run Alfred workflow automation skills, manage MCP connections, view execution histor
Enables AI assistants to create, manage, and execute Alfred workflow automation skills, manage MCP server connections, view execution history, and handle API keys through Alfred's REST API.
Alfred MCP Server is a community-built MCP server published by lumberjack-so that provides AI assistants with tools and capabilities via the Model Context Protocol. Alfred MCP Server: create, manage & run Alfred workflow automation skills, manage MCP connections, view execution histor It is categorized under developer tools.
You can install Alfred MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Alfred MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
I recommend Alfred MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Alfred MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Alfred MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Alfred MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Alfred MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Alfred MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Alfred MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Alfred MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
Alfred MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Alfred MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
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Model Context Protocol server that exposes Alfred's REST API as MCP tools for integration with Claude and other AI assistants.
The Alfred MCP Server provides seamless integration between Alfred's workflow automation platform and AI assistants through the Model Context Protocol. This enables AI assistants to create, manage, and execute Alfred skills, manage connections, view execution history, and handle API keys.
alfred_list_skills - List all skills with filtering, sorting, and paginationalfred_get_skill - Get detailed information about a specific skillalfred_create_skill - Create a new skill with steps and configurationalfred_update_skill - Update an entire skill (PUT semantics)alfred_patch_skill - Partially update a skill (PATCH semantics)alfred_delete_skill - Delete a skill (with optional force flag)alfred_list_connections - List all MCP server connectionsalfred_get_connection - Get connection details by IDalfred_create_connection - Create a new MCP server connectionalfred_update_connection - Update entire connection configurationalfred_patch_connection - Partially update connection settingsalfred_delete_connection - Remove a connectionalfred_list_executions - List execution history with filtersalfred_get_execution - Get detailed execution informationalfred_get_execution_trace - Get execution trace/logs for debuggingalfred_get_execution_stats - Get analytics and statisticsalfred_delete_execution - Delete an execution recordalfred_create_api_key - Create a new Alfred API keyalfred_list_api_keys - List all API keys (without revealing full keys)alfred_delete_api_key - Revoke an API keyAdd to your Claude Desktop configuration:
```json { "mcpServers": { "alfred": { "command": "npx", "args": ["-y", "@alfred/mcp-server"], "env": { "ALFRED_API_KEY": "alf_xxxxxxxxxxxxxxxxxxxxxxxxxxxx", "ALFRED_BASE_URL": "http://localhost:3001/api/v1" } } } } ```
```bash
npm install
npm run build:stdio
npm run build ```
``` alfred-mcp/ ├── src/ │ ├── index.ts # Main server with dual transport │ ├── client.ts # Alfred API client wrapper │ ├── types.ts # TypeScript type definitions │ └── tools/ │ ├── skills.ts # Skills management tools │ ├── connections.ts # Connections management tools │ ├── executions.ts # Execution history tools │ └── auth.ts # API key management tools ├── package.json ├── tsconfig.json └── smithery.yaml # Smithery platform config ```
MIT
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.