Turn REST APIs into governed MCP tools with YAML and self-hosted gateway control.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.DunkelCloud/toolmesh" MCP server from askskill:
Run: claude mcp add --transport http 'io-github-dunkelcloud-toolmesh' 'https://{host}:8123/mcp'Create a DADL/YAML configuration for our user lookup REST API and expose it as an MCP tool. API details: GET /users/{id}, returns basic user profile data; auth method is Bearer Token. Define the tool name, parameters, response field descriptions, and error handling rules.A deployable YAML config that turns the internal user lookup endpoint into an MCP tool with parameter definitions and error rules.
Design authorization and audit policies for an order lookup MCP tool: support agents can only access orders in their assigned region, while admins have full access. Log username, timestamp, parameter summary, and result status for every call. Provide example policy configuration.
Example policy configuration covering role permissions, access scope restrictions, and audit field definitions.
I have three REST APIs for CRM, ticketing, and inventory. Help me plan how to integrate them through one self-hosted MCP gateway. Output recommended tool boundaries, YAML organization, naming conventions, and security checks before launch.
A multi-service integration plan describing tool structure, configuration management, and a key security checklist.
Aggregate multiple MCP services into one unified interface for easier tool access.
Turn REST and OpenAPI endpoints into MCP tools for LLM clients.
Turn APIs, databases, or MCP servers into AI-ready connectors without code.
Connect multiple MCP servers through one gateway for unified tool access.
Turn existing APIs and databases into MCP tools for direct AI use.
Turn any OpenAPI API into callable AI tools with authentication support.