"PulseFeed - Content or News Feed Platform" matching MCP servers:

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Transforms codebases into a living knowledge graph with AI-powered code analysis, security scanning, and persistent semantic memory, leveraging Oracle 26ai vector and property graph capabilities.

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

A high-performance MCP server integrated with a Django analytics dashboard, featuring 19 tools for AI interaction tracking, AST code analysis, and real-time token efficiency metrics.

Provides LLMs with code intelligence tools like relationship explanation, PR impact analysis, and health reports via the Model Context Protocol.

Code Intelligence Platform for AI Coding Assistants

Enables AI agents to browse, read, search, blame, and diff files from any branch, tag, or commit in a self-managed GitLab instance without checking anything out or modifying the working tree. Content is served read-only from locally cached git mirrors or your own clones, so no GitLab REST API access is needed.

An MCP server that packs repositories into AI-friendly files using the Repomix tool, supporting local and remote repositories with size estimation and compression. It enables users to efficiently feed entire codebases into AI models while managing context window limits.

Automatically converts JoinQuant quantitative trading strategies to Ptrade platform format, supporting direct code input or file paths, with automatic API mapping and detailed conversion reports.

Enables AI assistants to perform code reviews by providing access to staged files, git diffs, and repository file content. It allows users to evaluate changes and context within any local git repository before committing or pushing.

Enables running MegaLinter linting, configuration, and analysis through MCP tools. Works with any CI/CD platform or locally.

Treats software units as content-addressed contracts, enabling efficient agent regeneration loops with cached verification and tiny context packets.

MCP server for fast local code & content search powered by Hawkeye. Enables AI assistants to search indexed codebases & assets with natural language queries.

It lets clients request design-time audits of Python and TypeScript agent applications for defects such as unbounded loops, ungated destructive actions, weak argument validation, insufficient run budgets, absent resiliency controls, overlooked evals, and poor observability. Findings include supporting evidence and feed an approval-driven mechanism for reviewing proposed fixes without mutating the original source.

Enables AI agents to scan code or text content for hardcoded API keys, passwords, tokens, and private keys, reporting each finding by type, confidence, key name, and position. Secret values are never returned, so credentials can be located and addressed without leaving the machine.

Enables MCP clients to research game mods by searching documentation and definitions, inspecting dependencies and playsets, validating saved files with structural and Tiger checks, and preparing or editing mod content with preview and write controls. It also supports starting or previewing the game through a local stdio connection.

An MCP server that fixes, validates, and generates visual text content for AI coding assistants.

Indexes Kotlin/Native platform klibs to enable fast symbol lookup for iOS APIs. Supports querying classes, members, and platform constants via MCP tools for Kotlin Multiplatform development.

Enables agents to pull every file path out of supplied document content — imports, asset references, and config values — and get each one classified as a file, relative, absolute, or URL with its line and column. It works purely on text passed in, reading no files and making no network requests, so codebases can be audited for references that still point at something.

Enables users to ask 1C platform questions, explain syntax, review and modify 1C code, search 1C documentation and the ITS knowledge base, fetch ITS documents, and compare documentation versions over HTTP or stdio transports.

A self-hosted persistent memory platform for AI agents and humans offering tools for memory storage, search, beliefs, work management, and code intelligence via MCP.

Enables rendering a deterministic markdown API reference from caller-supplied TypeScript type declarations—interfaces, type aliases, enums, and functions—without inventing or rewording content.

Provides a tool to extract and validate regex patterns from text content, including flags, positions, and ReDoS risk assessment. Enables AI agents to identify potentially dangerous regular expressions in code or files without needing filesystem access.

MCP server exposing Sourcegraph's AI-enhanced code search capabilities to coding agents, enabling advanced code search, repository discovery, and content fetching.

Enables AI assistants to pack entire repositories into XML, Markdown, JSON, or plain text, with token-reducing compression, content analysis, pattern search, remote GitHub repository support, and built-in security scanning.

Self-hosted AI Agent Memory + Code Intelligence Platform providing persistent memory, AST-aware code search, and quality enforcement via a single MCP endpoint.

Provides AI assistants in Cursor with local access to 1C platform documentation and XML configuration exports, enabling metadata lookup, BSL code search, and platform help queries without manual file copying.

Enables AI assistants to perform headless reverse engineering of retro game ROMs using Ghidra, with automated platform detection and triage.

Enables AI assistants to audit, migrate, scaffold, and manage TON smart contracts using the TON Dev Skills platform.

A collection of self-hosted, open-source tools that enable AI agents to perform web searching, content crawling, and code analysis tasks like linting and security scanning. It provides power-user capabilities for MCP-compatible clients without requiring external accounts or third-party infrastructure.