"Information about RDKit (chemistry software toolkit)" matching MCP servers:

A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.

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.

A production-ready MCP server with 24 tools for Stripe, Twilio, Resend, GitHub, and Slack, plus pre-built workflow prompts and live resources.

A self-hosted MCP operations gateway for Linux control hosts, enabling safe filesystem and Git operations, authenticated HTTP transport, and optional SSH/SFTP and infrastructure adapters.

A production-grade MCP server that provides LLMs with safe, structured, tool-based access to GitHub repositories, including issue management, semantic search, and guarded write operations.

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.

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

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.

A comprehensive MCP server providing secure tools for filesystem operations, Git management, web search, document conversion, npm/.NET project management, and AI generative capabilities (image/video/audio generation and processing) via PiAPI.ai integration.

Extends AI assistants with specialized tools for Cox Automotive workflows, connecting IDEs and clients to Rally, GitHub Enterprise, New Relic, Salesforce, and more through the Model Context Protocol.

A Python-based Model Context Protocol server that provides 87 tools for comprehensive interaction with the GitHub API. It enables AI agents to manage repositories, issues, pull requests, workflows, and projects through automated commands.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

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.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

Governance and session management layer for AI-assisted software development; enables agent binding, session tracking, and structured code review within the HestAI ecosystem.

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.

An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist