Plugins

1 plugin

Results for “api-resources”

16 skills
More results
google
Gemini Agents API
Manage custom Agent resources on the Gemini Enterprise Agent Platform via REST API, including creation, configuration, listing, updating, and deletion with support for files, skills, and tools.
14.4k
microsoft
Fastapi Router Py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models following established patterns.
2.7k · bundle
luokai0
API Dev
Scaffold, test, document, and debug REST and GraphQL APIs from the command line, including curl testing, OpenAPI spec generation, mocking, and troubleshooting.
10 · bundle
tools-only
076 API 9da1affd
Deploys and manages Cloudflare Workers for Platforms, including dispatch namespaces, static assets, bindings, and outbound routing.
7 · bundle
tools-only
076 API 6bc581bf
Deploy and manage Cloudflare Workers for Platforms, including dispatch namespaces, static assets, and outbound worker configuration.
7 · bundle
google
Workload Manager Basics
Validate enterprise workloads against Google Cloud best practices using public client libraries and the REST API to manage evaluations, rules, scanned resources, and validation results.
14.4k · bundle
lord1egypt
Fastmcp
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python, including wrapping APIs, databases, or files as tools and exposing resources or prompts.
2
microsoft
Azure Mgmt Applicationinsights Dotnet
Manage Azure Application Insights resources including components, web tests, workbooks, and API keys using the .NET SDK.
2.7k
aniruddhaadak80
Fastmcp
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.
0 · bundle
peteedoo
Fastmcp
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.
0 · bundle
levalencia
Rowan
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
3 · bundle