"Event Store" matching MCP servers:

Event Planning AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.

A session-scoped memory layer for LLMs that enables AI assistants to explicitly store and retrieve notes, decisions, and context within a single conversation, ensuring focus without cross-session data contamination.

Persistent memory API for AI agents — store, recall, and inject semantically-searchable context across sessions. EU-hosted, GDPR-compliant. Supports Claude, Cursor, Cline, and any MCP-compatible client.

Verifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2. Cross-document semantic search and Q&A across named collections. Pay per call with USDC

MCP server from Compound Labs (thecompound.tech). Eleven read-only lookups over live public data: agent skills and configs, shadcn component registries, AI model pricing and routing, dependency maintenance, SaaS pricing and stack cost, AI app builder App Store readiness, ADA Title II accessibility reports, nonprofit good standing. No key, no signup. On npm as kynth-mcp.

A FastMCP server that exposes mem0 long-term memory to MCP clients over SSE, enabling AI agents to store and recall facts persistently.

Seven-layer agent memory over MCP: zenbrain_store routes a general statement into a semantic fact, a narrated event into an episode, a sequence of instructions into a procedure, and zenbrain_recall tags every result with the layer it came from. zenbrain_consolidate runs one sleep-like maintenance pass; storage is a local SQLite file, with no account and no network call.

Auditable long-term memory for coding agents: facts carry their evidence and full supersession history, so why explains where a belief came from and forget retires instead of deleting. Runs embedded on a keyless SQLite store (npx -y statecore-mcp) with optional LLM distillation and a self-hosted StateCore server mode.

Connects App Store and Google Play keyword data to AI assistants, enabling ASO tasks like rank tracking, keyword analysis, competitor visibility, and top charts through natural language.

Provides persistent, decay-aware memory for AI applications by integrating the Smara Memory API through semantic search and Ebbinghaus forgetting curves. It enables tools to store, search, and manage long-term user context with importance-based ranking and automatic decay.

Enables Mu2e analysis workflows by exposing event counting, cut analysis, sensitivity computation, and ML selection as MCP tools for agentic frameworks.

An MCP server for live, geolocated world-event intelligence: query event signals (coordinates, severity, sources), find hotspots, search satellite imagery (Sentinel-1/2, etc), read the AI Daily World Brief, and ask an OSINT/GEOINT analyst. Local stdio proxy to the hosted Off-Nadir Delta server; free tier, token-metered.

MCP server for querying and analyzing TensorBoard event files, enabling AI agents to extract scalar data, statistics, and correlations without a running TensorBoard server.

Enables interaction with Arcanna's AI use cases through MCP, supporting job management, event processing, feedback, and health monitoring.

Provides persistent memory for AI assistants via MCP, enabling them to store and recall facts, preferences, and tasks across conversations using either local file storage or a cloud backend with semantic search.

MCP server that provides a shared semantic memory layer for AI coding agents, enabling teams to store, search, and sync context, decisions, and knowledge across projects with project-based isolation and multi-backend support.

Enables creating RPG Maker MZ games using natural language through AI assistance, with tools for project management, map creation, event systems, and batch operations.

This server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.

Enables incremental model scoring over an append-only event log, with a tamper-evident, hash-chained audit trail so every decision can be reviewed and independently re-verified.