"An overview of knowledge graphs and their applications" matching MCP servers:

MCP server for managing an OKF markdown knowledge base, enabling AI agents to query, read, write, and auto-sync architectural decisions and rules via Git.

Analyzes GitLab group projects to extract purpose, I/O, dependencies, and database tables, serving this knowledge via MCP tools and a read-only HTML visualization.

Transforms a GitHub repository into a structured personal brain for AI to manage tasks, notes, and goals through markdown files. It enables direct interaction with a version-controlled knowledge base, allowing for automated organization and efficient retrieval of information.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

Tracks and manages code changes from Git repositories, generates documentation automatically, and provides AI agents with intelligent access to service documentation through MCP server integration with feature mapping and search capabilities.

An MCP bridge that lets Codex supervise Reasonix as an implementation worker in an isolated Git worktree, ensuring safe delegation with scoped writes and sandboxed execution.

Enables LLMs to search Flux HelmReleases and Argo Applications from kubesearch.dev, and temporarily clone repos to review actual manifests.

Local-first memory layer for AI coding agents — Markdown as source of truth, MCP server + CLI, human-reviewed capture, team knowledge via git PRs

MCP server that acts as a thin proxy over GitLab REST API v4, enabling users to list merge requests, view diffs, and leave inline comments without leaving their MCP client.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, temporal coupling, knowledge maps, churn analysis, and risk scoring for AI agents.

Local code review for people and their coding agents: an agent opens a review of its changes and hands over a link, the person comments on lines, and the agent reads the threads, replies and resolves what it fixed. Reads the git worktree directly, uncommitted work included; nothing leaves the machine.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.

Enables commit-addressed editing of LinkML YAML schemas via MCP, including applying changesets and reading schemas at specific commits.

Enables searching and retrieving GitHub portfolio repositories and their READMEs through natural language.

An MCP server that enforces disciplined Git workflows by planning coding tasks into small, test-gated commits, ensuring tests pass before staging and preventing out-of-scope or oversized changes.

Provides a git-aware knowledge base for AI coding agents to store and retrieve memories anchored to code changes, with automatic staleness detection.

Enables AI assistants to browse, search, and retrieve source code of 129 VengeanceUI components from their GitHub repository.

Enables detection and resolution of Git merge conflicts in repositories through MCP, providing tools to identify conflicting files and assist with conflict resolution workflows.

Enables LLM applications to interact with Google's Jules AI coding assistant to manage repositories, coding sessions, and pull requests. It allows users to programmatically create tasks, approve plans, and communicate with the assistant during active coding sessions.