"Vector Database" matching MCP servers:

Exposes GitHub, SQLite database, and calendar tools, resources, and prompts over MCP so any MCP client can query data, manage issues, and schedule events.

An MCP server that caches your GitHub starred repositories in a local SQLite database and lets you search, list, and retrieve details about them through any MCP client (Claude Desktop, Cursor, VS Code, etc.), with automatic freshness checks via GitHub's ETag mechanism.

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.

A commit-aware code context manager for LLMs that indexes Git repositories into a multi-tier knowledge hierarchy (repo overviews, file summaries, symbol details) with SQLite vector search, serving context via the Model Context Protocol.

Enables AI agents and MCP clients to browse and search GitHub repositories, manage issues and pull requests, and query or update a local SQLite database through validated tools. It also supports guided Claude Code skills for repository exploration, database assistance, and health checks.

Enables reasoning agents to turn PRDs into production-ready applications by discovering and reusing existing features, UI components, database models, and templates, then planning, scaffolding, validating, and preparing Git changes for review.

Enables querying GitHub Security Advisories from a local cloned advisory database using tools like list_advisories and get_advisory.

Modular MCP server integrating Redmine, SQL Server, and GitLab for investigating incidents, enabling issue tracking, database queries, and merge request review via natural language.

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.

Provides MCP servers for GitHub API operations and SQL database queries, enabling users to interact with GitHub repositories and databases through natural language.

A collection of production-ready MCP servers for PostgreSQL, SQLite, Redis, File System, and GitHub API, enabling database operations, file management, and GitHub interactions through natural language.

Enables searching GitHub repositories, fetching readable web page text, and querying a local book database through MCP tool calls.

Syncs GitHub pull request and review activity into a local database and exposes tools that let Claude answer questions like what's blocking you or summarize PR activity since a given time.

Enables AI clients to fetch GitHub issues and read relevant repository code with bounded output and HEAD-consistent, read-only snapshots. Optional profiles extend this with database, UI, history, and workflow analysis capabilities.

A persistent, PostgreSQL-backed repository management system and semantic memory MCP server that stores the entire Git DAG natively in PostgreSQL with temporally-decayed semantic vector embeddings for AI IDEs.

A comprehensive MySQL interface for the Model Context Protocol that enables database management, SQL execution, and performance analysis. It features a robust Git-style version control system with automatic backups, secure permission management, and precise rollback capabilities for all data operations.

Consolidates git history, test results, and Copilot sessions into a searchable SQLite database for AI assistants to answer questions about development activity.

Enables AI coding agents to access and update a shared local database for tracking pull requests and work items across repositories.

Enables AI applications to access and contextualize organizational knowledge sources including GitHub repositories and internal documentation through standardized MCP protocol integration. Features OAuth 2.1 authentication, vector-based semantic search, and optimized context chunking for enterprise development workflows.

A Model Context Protocol server integrating developer tools including Git control, document conversion, remote SSH execution, database operations, and utilities for automation and development productivity.

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.

A Dockerized MCP server that fetches your GitHub repositories, indexes them into a local vector database, and exposes semantic code search tools to LLM clients for tailored technical mock interviews grounded in your actual code.

Equips AI coding agents with filesystem, Git, database, and computation tools via the Model Context Protocol.

Local MCP server for AI agents and vibe coding safety: deterministic risk checks (payments, auth, database, secrets, infrastructure), sessions, checkpoints, policy inspection, and fix prompts. Runs over stdio against a local git repository; no language model judges risk.

Provides AI agents with a local SQLite-backed memory store plus read-only Git tools, enabling them to save, search, update, and retrieve project decisions and context, and to inspect repository status, diffs, branches, and commit history through MCP. Everything runs offline on the user's machine with no cloud database or telemetry.

Enables AI assistants to build and maintain a shared, git-backed Markdown wiki: they search, file, update and link notes with YAML frontmatter, keep verbatim sources, and optionally read code repos, so knowledge one assistant records is available to all the others. Runs without LLM calls, embeddings or a database, with the vault's own files defining page types, instructions and tools.