MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,967 servers in this category.
Provides a curated list of Brazilian MCP servers for accessing public, fiscal, legal, and economic data.
Provides an AI assistant with secure shell, file, search, process, and git access to a local machine via two-gate safety mechanisms.
Provides a cross-repository service graph to coding agents by parsing source code for HTTP routes, queues, and call graphs.
Launches purchased MCP servers from Sigrix directly into clients like Claude Desktop, Cursor, or Claude Code via stdio.
Enables Flutter developers on Windows or Linux to build, sign, test, and deploy iOS applications using GitHub Actions, App Store Connect, or remote Macs.
Indexes codebases using tree-sitter AST parsing to allow AI clients to query specific symbols and function bodies without reading entire files.
Analyzes GitHub repositories to provide a prioritized brief of pull requests, issues, and tasks to help developers resume work efficiently.
A Linux desktop command center that monitors LLM telemetry, manages MCP servers, and synchronizes configurations across AI development agents.
Enables AI assistants to interact with Android devices and emulators using Android Debug Bridge (ADB) through a suite of typed tools.
Verifies AI coding agent claims by sealing finished work into signed ProofPackets that include hashed artifacts and HMAC signatures.
Enables multiple local AI coding agents to communicate in named rooms, sharing context and tasks without manual copy-pasting.
A stateless Python MCP server deployed on Cloudflare Containers that supports the 2026-07-28 protocol and interactive MCP App widgets.
Provides a security-hardened terminal interface for AI models using a deny-by-default policy, command allowlisting, and directory jailing.
Provides prompt governance and conversation context recall for Claude Code via hooks and a hosted MCP server.
Performs read-only PostgreSQL performance auditing to identify slow queries, index issues, and configuration bottlenecks.
Lets an AI client query and manage a homelab inventory including hosts, containers, Kubernetes clusters, and security vulnerabilities.
Provides a local knowledge base for projects using RAG and tool-use to answer questions via semantic search and project metadata.
Provides a transactional, PostgreSQL-backed document editing runtime for AI agents to perform atomic and auditable code modifications.
Wraps terminal-based AI coding agents in a Docker image providing an HTTP API, OpenAI-compatible endpoint, MCP server, Telegram bot, and cron scheduler.
Provides cross-session shared context for AI coding agents using a git-based knowledge repository of Markdown files.