MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,971 servers in this category.
Analyzes git repository history to identify code hotspots, expertise distribution, change coupling, and bus factor risks.
Diagnoses environment variable issues by comparing files, scanning source code for usage, and validating shapes without ever exposing secret values.
Analyzes HAR network traces to debug web performance, identify slow requests, and trace failures with automatic secret masking.
Performs semantic diffs of JSON, YAML, TOML, CSV, .env, and INI files, detecting moved items and generating verified RFC 6902 JSON patches.
Allows an AI agent to safely inspect, search, and extract zip and tar archives while preventing security vulnerabilities like zip-slips and decompression bombs.
Analyzes Python and JS/TS import graphs to identify dependents, affected tests, entry points, cycles, and dead-code candidates.
An offline subtitle toolbox that lets an AI agent repair, resync, convert, and translate SRT, WebVTT, and ASS files.
An MCP server that executes regular expressions in real Python, JavaScript, and regex engines to verify matches, detect ReDoS, and explain patterns.
Analyzes technical debt by finding TODO, FIXME, and HACK markers in repositories and correlating them with git blame, age, and file churn.
Lets an AI agent explore and analyze SQLite databases with verified read-only security, schema graphing, and data quality auditing.
Analyzes project lockfiles to provide dependency license inventories, policy compliance checks, and compatibility guidance.
Lints OpenAPI and Swagger specifications and detects breaking changes between different versions of an API spec.
Enables Claude to interact with ArcGIS Pro to manage layers, run geoprocessing tools, edit data, and create map layouts.
Enables coding agents to search and lazy-load specialized skills on demand to reduce token costs and session overhead.
Connects Claude Code sessions to the Claude mobile and desktop apps to enable voice-based context searching and task saving.
Provides offline API documentation for AI coding agents by downloading, indexing, and searching Dash/Zeal docsets via MCP tools.
Allows an AI client to edit Jupyter notebooks using cell-level primitives and execute code via live Jupyter kernels.
Enables an AI client to edit R Markdown documents with cell-level manipulation and execute code chunks using a live Jupyter kernel.
Lets AI agents control Ghostty terminals on macOS to open windows, type commands, read screen output, and manage agent sessions.
Lets an AI agent build and configure live Cisco Packet Tracer topologies by interacting with the Script Module API.
