Exposes 16 local stdio MCP tools that give Codex-style clients project-isolated persistent memory, local ONNX-based semantic search, and durable task tracking that survives across sessions and concurrent clients, without executing agents, hosting a model, or contacting model providers.

Enables MCP hosts to spawn, supervise, and collect results from parallel panels of pinned-model OpenCode v2 agents for delegated tasks, reviews, and cross-model comparisons. Supports per-member roles, models, permissions, follow-up prompts, cancellation, and persisted result retrieval.

Enables agents to analyze OpenAPI contracts for deterministic integration risks, plan auth, sync, action, and webhook candidates, and diff contract versions for likely breaking changes through read-only tools.

Checks public IPs, domains, CVE IDs and software versions for confirmed vulnerabilities and exposure, using NVD version ranges, CISA KEV, EPSS, distro backports and published exploits. All API keys are optional.

Connects MCP-compatible AI clients to a university Moodle campus locally so users can query courses, assignments, materials, grades, forums, and calendar events, including reading attachments and PDFs. It is a read-only beta that does not modify the campus or store passwords.

Enables an MCP-capable AI chat to control selected tabs in a separate persistent Chromium browser, protected by OAuth, per-tab grants, and local approvals.

Enables AI assistants to design coffee brew profiles from bag photos, push them to a Wi-Fi-connected smart brewer, and keep a searchable library of recipes, versions, ratings, gear and tastings. Also lets assistants manage the brewer's active menu and scheduled brews, and preview, import or share brew.link profiles.

Enables MCP clients to create and control persistent, PTY-backed terminal sessions on macOS: launch commands and interactive programs, read output incrementally via byte cursors, send keystrokes, wait on conditions, and detect running/awaiting-input/exited states. Sessions run inside a Seatbelt sandbox with command policies, human approvals, secret redaction, and hash-chained audit logging.

Enables two AI agents to share a persistent task mailbox over remote MCP, so one can leave work, the other can claim and complete it, and results are written back with optional webhook wake-ups.

Statistics of Russian texts as tools for LLM agents, built on the ruTS library: readability with school grade and reader age, officialese, SEO metrics, verse meter and rhyme, lexical diversity, morphology, syntax, keywords, concordance, collocations and stylometric comparison. Every value comes with a description, a scale reading and warnings when it is unreliable for the text

Exposes the full Java Edition block and item registry as MCP resources and provides tools to look up, read, and place blocks (including block states) across simulated Overworld, Nether, and End dimensions. World edits are persisted per dimension, so builds survive restarts and can be inspected through dimension resources.

It enables AI agents and browser-based users to inspect, edit, validate, reorder, diff, and safely persist SillyTavern Chat Completion presets through revision-safe live synchronization over stdio or HTTP.

Enables users to view Alibaba Cloud account balances, credit limits, and cash voucher status through a persistent Codex panel or natural-language queries using read-only BSS OpenAPI access.

Enables AI agents to store and retrieve persistent memory across sessions and machines, and to pay any x402 API while keeping a signed, offline-verifiable ledger of purchases and spending.

Enables AI agents to open URLs in a persistent headless browser and interact with pages by clicking, typing, selecting, reading content, evaluating JavaScript, waiting for elements, and capturing screenshots.

Enables read-only MCP access to structured Brazilian curricular references, supporting learning-objective searches, comparisons across states, and queries tied to versioned publications.

Enables agents to look up a library's Context7-compatible ID and fetch its current, version-specific documentation and code examples, optionally focused on a topic and capped at a chosen token budget.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.

Give your agents the power to publish reviewable HTML documents. Self-hosted server + CLI + remote MCP; agents push, humans review with comments and versions.

Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

Enables travelers and agents to route destination crowds in real time by dispersing visitors and reducing queue waits with queuing-theory and dynamic heatmap guidance.

Enables agents to optimize real-time attraction visitor dispersion and queueing wait times using queuing-theory models and dynamic heatmap routing.