MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13.985 servers in dieser Kategorie.
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Enables an AI agent to perform image processing tasks including resizing, size-targeted compression, EXIF privacy stripping, and thumbnail generation.
Enables AI agents to investigate large log files through streaming, timestamp normalization, multi-line event grouping, and error clustering.
Analyzes git history to identify risky files, code ownership, change coupling, and bus factor for codebase intelligence.
Scans git history and working trees for accidentally committed secrets while ensuring raw credentials never reach the AI agent.
Scans git repositories and history for sensitive credentials using regex and entropy while ensuring secrets are redacted before reaching the AI agent.
Enables AI agents to read, search, extract tables, and manipulate PDF pages with built-in safety constraints and scanned-page detection.
Allows an AI agent to inspect network ports and safely terminate processes using a token-based confirmation system.
Diagnoses project environment variables by analyzing shapes and types without ever exposing sensitive values to the AI model.
Enables an AI agent to debug web performance by analyzing browser HAR exports through streaming JSON parsing and timing calculations.
Enables AI agents to perform semantic diffing between JSON, YAML, and CSV files by identifying structural changes rather than simple line differences.
Analyzes Python and JavaScript/TypeScript projects to map import graphs, detect dependency cycles, and identify the impact of file changes.
Allows an AI agent to execute tests, parse JUnit XML results, trim tracebacks, and detect flaky tests through safe subprocess management.
Enables AI agents to run, debug, and analyze test suites for pytest, unittest, jest, and vitest with structured results and flaky test detection.
Allows an AI client to perform deep network diagnostics including TLS certificate analysis, DNS wire format resolution, and HTTP redirect tracing.
Allows an AI agent to test, explain, and stress-test regular expressions using real engines and sandboxed execution.
Diagnoses website health by performing TLS, DNS, HTTP, security header, port, and email DNS checks with specific remediation steps.
Scans repositories for TODO and FIXME markers to provide age, author attribution, and staleness analysis using git blame.
Analyzes project lockfiles and installed metadata to determine dependency licenses and compliance against a custom policy engine.
Lints and explains Dockerfiles and docker-compose files statically with rule IDs, severity levels, and concrete fix suggestions.
Allows an AI client to lint Dockerfiles and compose files by parsing grammar, analyzing cache order, and providing fix previews without requiring Docker.
