"Fetching historical data from tardis.dev" matching MCP servers:

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.

MCP server for exploring 4.2 BSD historical UNIX documentation, source code, and system calls. It provides tools to search and read prose manuals, man pages, source files, and the syscall table.

Query only the data you need from your JSON file and keep your context clean

Provides live Apple documentation fetching, Xcode build error analysis, and Swift Evolution proposal checking for Apple development assistance.

Parses UEFN Verse build diagnostics from UnrealEditorFortnite.log and exposes structured error data to MCP clients.

Provides comprehensive code quality analysis with quantitative metrics, historical trends, and refactoring risk prediction for C#, Python, and TypeScript codebases.

An MCP server that performs comprehensive health checks on project dependencies for JavaScript and Python projects, detecting outdated packages and fetching changelogs.

An MCP server that provides LLMs with access to Equinox documentation and tools to validate Equinox module code. It supports both online documentation fetching from GitHub and offline access through local files.

Harvests React components from Aceternity UI and Shadcn UI, fetching code and metadata to generate integration prompts for AI agents.

A codemode MCP server for fetching and querying dependency source code from npm, PyPI, crates.io, and GitHub. It allows agents to execute server-side JavaScript for context-efficient searching and browsing of large codebases without overwhelming the LLM's context window.

Enables AI assistants to automatically recover SonarQube technical debt by fetching issues, running proposal-only worker batches, and integrating verified fixes serially with progress tracking.

MCP server that produces scored, evidence-cited audits of public GitHub repos via tools for fetching metadata, reading files, scanning git history, and checking hygiene.

MCP server for fetching GitHub repository files and directory trees, supporting raw file content, unix-style directory trees, and enhanced trees with file sizes, depth limits, and filters.

An MCP server that provides AI agents with real-time package health data, vulnerability reports, and dependency graphs from PyPI and OSV.dev.

Provides tools for AI-driven development workflows including file system operations, code analysis, code execution, web fetching, and search.

Enables scanning of AI agent code for security vulnerabilities such as prompt injection, tool abuse, and data exfiltration, directly from MCP-compatible clients like Claude Code.

Enables AI agents to efficiently read Python code by first providing file skeletons then fetching only needed implementations, reducing noise and cost.

An experimental MCP server offering calculator, GitHub repository fetching, a movie database resource, and JavaScript code review capabilities. Designed for learning and compatible with Cursor and Claude Desktop.