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 transport-neutral domain engine with 282 MCP tools for governed SDLC workflows and knowledge graph orchestration.
Enables Claude Code to design KiCAD PCBs end-to-end, including schematic capture, PCB layout, autorouting, and manufacturing output generation.
Lets an AI client edit, simulate, and generate Petri nets and Petri-object models using natural language descriptions.
An agent-callable computational chemistry engine that provides molecular intelligence, docking, and protein structure prediction via MCP and REST.
Enables an AI client to analyze Excel files locally using a multi-agent pipeline powered by Qwen 2.5 and Ollama.
Transforms FastAPI routes into an agent-friendly GraphQL-based MCP server for efficient tool composition and field-level selection.
Synchronizes AI agent rules and configurations across multiple IDEs using a GitOps-driven, local-first approach.
Validates and repairs fine-tuning datasets by catching broken tool calls, context overflows, leaked keys, and PII before training.
Runs multiple coding agents in isolated Git worktrees with shared issue ownership, reservations, and explicit handoffs.
Provides an open infrastructure and control plane for browser automation by driving existing Chrome sessions via the Chrome DevTools Protocol.
Enables coding agents to transform repeatable tasks into verifiable, audited, and executable .nika workflow files.
Generates clean, blueprint-style SVG technical diagrams from JSON specifications using an AI agent or CLI.
Provides a transport layer to interact with agentic coding CLIs like Claude Code, Codex, or Grok via Telegram and WeChat.
Enables multi-model code reviews within Claude Code CLI by fanning out tasks to multiple LLMs and dispatching subagents to implement fixes.
Generates and populates synthetic sandbox data in Docker containers through an AI agent.
Enables AI agents to manage test data through format-preserving masking, referential subsetting, and privacy-preserving synthetic data generation.
Lets an AI agent read and search Word documents by processing text as if all tracked changes were accepted.
Audit the token consumption of your MCP servers to understand how much context window they occupy before your agent uses them.
Tests MCP server OAuth bearer token validation for audience, issuer, and expiry claims using a local fake authorization server.
Audits MCP servers, tool specifications, and configurations for security vulnerabilities like SSRF, command injection, and prompt poisoning.