MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,969 servers in this category.
Provides a registry of over 60,000 open-source agent components including MCP servers, skills, sub-agents, and workflows for coding agents.
Sends clicked elements, cropped screenshots, and voice prompts from a Chrome extension directly into a Claude Code session for visual UI feedback.
Lets an AI client search an MCP server index, explore Index API capabilities, and access guides for obtaining AI billing exports.
Enables users to browse, install, and manage SKILL.md skills and MCP connectors for DeepSeek Harness without restarting the application.
Lets an AI client manage local LLMs, control server status, handle model downloads, and run background tasks via LM Studio.
Converts codebases, directories, and Git diffs into token-budgeted, LLM-ready context in XML, Markdown, or llms.txt formats.
Enables compiler-accurate Java code analysis for AI clients using Eclipse JDT to perform symbol search, refactoring, and impact analysis.
Checks App Store availability for specific app names across different countries by analyzing real search results.
Provides a registry, install widget, and CLI to help developers integrate MCP servers into various AI clients like Claude, ChatGPT, and Cursor.
Enables AI agents to perform data encoding, decoding, and encryption using 505 operations through a built-in MCP server.
Provides institutional data enrichment, cybersecurity reconnaissance, and financial regulatory intelligence through specialized scraping and API tools.
Scans tool definitions, lints description boundaries, and evaluates model tool selection accuracy to ensure high-quality function calling.
Performs workspace-wide health checks across GitHub projects, covering CI, security, dependencies, and AI agent configurations.
Analyzes MCP session logs to measure token costs per server and allows users to disable unused servers to optimize context window usage.
Provides zero-trust security rules that enable AI coding agents to write, review, and ship secure code across multiple platforms.
Provides verifiable, private, and deterministic compute primitives for tasks like PII redaction, financial modeling, and text analysis.
Lets an AI client browse local Figma design files, extract UX copy, inspect layouts, and render frames as PNGs via the Model Context Protocol.
Provides coordinate-based navigation and dependency awareness to help AI coding agents locate exact code locations and understand their impact.
Provides JSON schemas and validation tools to separate narrative, interface text, and game rules for agent-assisted browser game development.
Provides a plugin marketplace for local-first MCP servers that enable agent memory management and parallel work queues for coding agents.
