Developer Tools MCP servers
MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,963 servers in this category.
MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,963 servers in this category.
Provides a builder kit and guides to register and deploy a single MCP server across ChatGPT, Claude.ai, Cursor, and Claude Code.
Provides an open-source library of over 600 Claude Code skills, subagents, multi-agent teams, and MCP servers to extend AI agent capabilities.
Enables AI agents to manage Bitbucket pull requests, inspect branches, and review code changes through the PipMCP gateway.
Connect AI agents to GitHub Projects to manage issues, pull requests, and project boards through the PipMCP gateway.
Provides read-only tools for parsing large files, CSV tables, DOCX documents, and PDF text layers using a Rust-backed worker.
Enables AI agents to debug Firefox sessions and control Windows desktop applications through DOM inspection, network monitoring, and UI automation.
Automates GitHub issue triage, pull request reviews, and security scanning using AI workflows and an MCP server.
Lints hreflang attributes including language codes, x-default, self-references, canonicals, and return links without fetching URLs.
Scans website HTTP security headers like HSTS and CSP to provide security scores and code snippets for fixes.
Checks web pages for broken links, redirect chains, and mixed content issues.
Repair malformed JSON from LLM outputs and validate it against specific JSON Schemas.
Evaluates MCP tool definitions for agent-readiness by providing scores, letter grades, suggested fixes, and estimated token costs.
Validates formats for IBAN, BIC, EU VAT, GTIN/EAN/UPC, and ISBN using offline check-digit algorithms.
Validates and formats phone numbers into E.164 format, identifying region and line type without carrier lookup.
Generate, validate, and check robots.txt rules specifically for AI crawlers like GPTBot and ClaudeBot.
Lets an AI client check website bot protections, JavaScript requirements, and machine-readable interfaces before attempting a web fetch.
Enables AI collaborators like Codex and Cursor to share project memory, tasks, and file ownership through a shared SQLite-backed MCP bridge.
Provides rule data for US and Canadian calling hours, recording consent, AI disclosure, and voice agent configuration linting.
Manages MCP servers within the DeepSeek Harness desktop settings page, allowing users to add, edit, delete, and monitor server runtime status.
Enforces structured planning, sequential building, and high-quality standards for AI coding tools through a specialized prompt-engineering framework.