Discover our curated collection of MCP servers for developer tools. Browse 10755servers and find the perfect MCPs for your needs.
Facilitates LLM and agent interaction with HTTP APIs to automate testing and workflows.
Retrieves real-time and historical weather data, along with current time information, from the Open-Meteo API.
Manages intelligent structured documents to prevent token overflow in large language models and ensure content consistency.
Defines data types and utilities for handling user interface requests, specifically parsing and validating JSON-RPC requests.
Provides a Jira server implementation.
Provides a Model Context Protocol (MCP) server that enables comprehensive interaction with the Moodle Learning Management System (LMS) Web Services API.
Connects AI tools and MCP-compatible clients directly to Red Bee Media's OTT platform API.
Automates the validation of AI-generated code through end-to-end testing.
Facilitates Git repository management through the Model Context Protocol.
Enables robust and secure communication between various AI assistants, streamlining AI-to-AI messaging within CLI-based applications.
Enables programmatic interaction with the Typefully API for creating drafts, scheduling tweets, managing content, and handling notifications.
Provides an unofficial Model Context Protocol server for fetching articles and books from Zenn.dev.
Provides real-time Brave Search results via Server-Sent Events (SSE).
Executes operating system commands on the local machine and returns the output.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Manages n8n workflows and automations through a natural language interface.
Connects Blender to Claude AI using the Model Context Protocol, enabling AI-assisted 3D modeling and scene manipulation.
Provides the backend MCP server functionality for the Rangler platform.
Monitor Cursor Pro usage limits and API quotas across various AI services to prevent unexpected charges.
Enables AI agents to execute code in a sandboxed Google Cloud Functions environment.
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