"Event Store" matching MCP servers:

Assesses event safety by providing prioritized actions, documentation needs, risk factors, and applicable regulations based on event conditions such as venue, crowd size, and setup.

Searchable football data provider documentation for AI coding agents. Enables agents to look up verified docs on event types, qualifier IDs, coordinate systems, and more across 15 providers.

Provides AI coding tools with queryable documentation for the AK (Active Kernel) event-driven MCU framework, including API signatures, guides, and guardrails.

An MCP server that gives AI assistants access to a curated database of Apple App Store rejection reasons, solutions, and real-world cases.

An MCP server that lets AI coding assistants list, search, and read the public Quasar Store documentation in real time.

Enables AI assistants to scaffold VTEX IO apps and Node/GraphQL services, look up Store Framework block props and VTEX APIs, and search documentation and courses.

Enables scoring a local markdown documentation file out of 100 across categories like title, install, usage, license, badges, structure, and relative link resolution, with letter grades and a concrete list of fixes. It works on local files only, providing a heuristic checklist of documentation completeness rather than judging code quality, security, or SEO.

Enables AI coding tools to query and validate analytics event specifications maintained as Wiki markdown tables, providing structured access to events, properties, and implementation details through MCP.

Local-first MCP server providing deterministic Flutter/Dart static analysis, knowledge search, and project review with structured insights and confidence-based findings over an indexed SQLite store of official repositories.

Enables Windows event log forensics by wrapping Hayabusa, offering EVTX scanning, Sigma rule exploration, ATT&CK coverage analysis, and detection engineering resources.

A comprehensive MCP server suite for Red Hat's automation ecosystem, enabling AI assistants to interact with Ansible Automation Platform, Event-Driven Ansible, ansible-lint, and official Red Hat documentation with secure domain validation.

Enables querying event-driven architecture documentation including domains, services, messages, and schemas through MCP clients like Claude and Cursor.

Indexes your repo's markdown into a canonical doc store, serving agents the single current doc per question via MCP to save tokens and keep all agents on the same source of truth.

An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.

Enables AI agents to store and retrieve design decisions as Markdown in git repositories, and check new proposals against historical decisions via MCP.

Provides semantic search over ScriptingApp documentation by converting Markdown/MDX files into a LlamaIndex vector store. Supports multi-language indexing and enables natural language queries against technical documentation through MCP tools.

Provides STORES API documentation to AI clients, enabling natural language queries about endpoints, authentication, and more.

Enables natural language management of Expo and EAS projects, including SDK documentation, cloud builds, CI workflows, store submission, and TestFlight crash and feedback data.

Transforms static coding standards into a queryable live data store for AI agents, delivering task-specific rules and fix guidance on demand. This optimizes context window usage through progressive disclosure, ensuring agents apply relevant governance without loading massive documentation.

Enables interaction with 0G.AI decentralized infrastructure including documentation access, storage operations (file upload/download, key-value store), and AI service discovery on the 0G Compute Network with TEE verification and pricing information.