Enables agents to store LLM query-response pairs and retrieve them via fuzzy cosine similarity matching, reducing duplicate inference calls; it exposes tools for setting cache entries, semantic lookup, and hit-rate statistics.

Search UAE beach clubs, day pass prices, amenities, opening hours and events across all 7 emirates.

Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

Local MCP server that gives coding agents a verifiable project memory, trims what enters their context, and masks secrets — with honest accounting of what it saves and costs.

MCP server for local email archives — search and read Google Takeout .mbox exports and .eml files entirely on your machine. No OAuth, no IMAP, no cloud.

MCP server for local email archives — search and read Google Takeout .mbox exports and .eml files entirely on your machine. No OAuth, no IMAP, no cloud.

Persistent session memory for AI coding agents that never leaves your machine — including the on-device model that reasons over it. Restores your prior decisions, open TODOs, and changed files across sessions; adds associative recall of related past work,

Enables agents to retrieve AI-industry news as structured, deduplicated events classified against a published taxonomy, with sources and correction histories. Supports listing and filtering events, fetching event details, browsing categories and subcategories, and semantic search.

Enables retrieval and structural analysis of FDA regulations.gov dockets: searching dockets, pulling comments and attachments into a local cache, extracting sectioned guidance text, and computing section-aligned draft-versus-final guidance diffs. All results are deterministic and cache-first, with no model calls in the server.

Enables coding agents to search public documentation, retrieve SDK snippets with verification status, and access published pricing and an llms.txt resource in a read-only, credential-free way.

Deep Zendesk MCP server for your AI assistant: search, draft, update and translate Help Center articles and manage Support tickets end to end — comments, triage and image attachments.

Search 264 AI benchmarks by category, with data sources and licences for each.

All your bookmarks in one library. Share them with your AI agents. Read-only search over your saves.

Search job postings aggregated from companies' careers sites, plus each job's discussion thread.

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Run local AI across all your computers. Toskar's MCP server lets Claude, Cursor, and other clients ask your own local models and search your connected knowledge, with nothing leaving your machines.

Enables AI IDEs and assistants to perform AST analysis, map dependency graphs and call chains, run semantic code search, and optionally sync cloud-backed memory — all locally so source code never leaves the machine.

Enables agents to reach pump.fun's full API surface — official developer routes, bonding-curve reads, Solana RPC, and unsigned trade building — by writing JavaScript against one merged OpenAPI document, using just two tools (search and execute). Model-authored code runs in a network-less sandbox, so multi-step questions resolve in a single round trip while credentials stay on the host Worker.

Enables AI agents to run private web searches against a self-hosted SearXNG instance, rerank results with a local model, and fetch or extract pages locally into markdown, including PDFs, with optional caching, crawling, and cited local-LLM answers.

Enables MCP clients like Claude Code, Codex, Cursor, and Claude Desktop to search, read, and download attachments from NetEase mailboxes (163/126/yeah.net/188), wait for verification codes, and create drafts or send and move messages only after a two-stage preview and confirmation, with readonly, draft, and full permission modes.

It enables AI agents to access live web data through page fetching, search, prebuilt scrapers, datasets, and remote browsers, using free direct requests and local Chrome rendering with Bright Data only as a fallback for bot walls. It also adds budget controls, caching, pagination, cancellation, retries, SSRF protection, and both stdio and HTTP transports.

Enables AI assistants to look up passages, draw random entries, search teachings by situation or theme, and produce voice-guided readings from books of wisdom such as the Tao Te Ching.

Connects to a logged-in Windows LINE Desktop client to read chat history and cached images for a given chat and date range, and to perform GUI-driven actions such as batch sending text, files, real @mentions, quote replies, and forwarding after a single approval. It also supports read-only cross-chat search over the last 31 days, recent-chat listing, and local receipts that stop rather than resend when the outcome is uncertain.