"Information on memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Check an A2A agent before you delegate, or an MCP server's measured conduct. Free, no key.
EN 16931 invoices as Factur-X, CII or UBL. No file until the parties are ready.
Hosted AI agent memory that learns from outcomes, with shared rooms, in Claude, Cursor and ChatGPT.
Remote shell and detached long-running jobs on your own machines — no SSH, open ports or VPN.
Portable AI memory you own. Keep memories and notes across Claude, ChatGPT, and other AI tools.
Auto-Apply That Ends on an Interview. Job matches, applications sent on the employer's own hiring system, employer-receipt tracking, per-role resumes, cover letters, interview prep.
Search jobs on verified employer job boards. Every link is the employer's own posting.
Search products and stores in local physical shops. Find availability, prices, and store locations. Currently focused on hardware stores in Spain.
Your Recipes, Beautifully Kept. weReci MCP server lets Claude and other MCP clients work with your personal weReci cookbook, the recipes you've imported from the web, social video and scanned family books. Interactive UI in the chat. weReci supports MCP Apps, so in clients that support it, tools return live views instead of plain text: recipe cards, shopping lists and your recipe graph. Clients without MCP Apps support get the same results as text. Find and read recipes: search your collection in plain language, open any recipe in full, or get an overview of what's in your cookbook. Cook with them: scale a recipe to any serving count, with cooking adjustments as well as amounts. Get substitution suggestions with ratios and caveats. Explore connections: browse your recipe graph (shared ingredients, techniques and cuisines), trace the connection between two recipes, and look up where a dish sits on the cuisine map. Themed collections: list the themed groups weReci curates from your cookbook, or ask it to reshuffle them. Shop: build a shopping list from one or more recipes, add or update items, and read the list back. Share: email a recipe to someone. Longer jobs like conceit reshuffles run in the background, with tools to check their progress. Everything is scoped to your own cookbook, or to a shared one you've joined.
List, view, create, edit, delete, comment on, and see the history of Laraue Boards issues.
Version 2.8.0. HyperNatt Terminal: liquidation radar, Hyperliquid execution context and Li.Fi cross-chain swap for AI agents. BTC ETH SOL BNB XRP HYPE ZEC. Before an order: estimate depth, VWAP, spread and fees for its size. Between checks: compare liquidity and costs with the previous baseline. After execution: reconcile supplied fills. Read-only data, no custody or order submission. 6 tools, v2.8.0; call get_agent_manifest first. Radar and each execution-context call cost 0.001 USDC via x402 Base/Solana or eligible credits; manifest and MCP swap quote are free (on-chain swap fees apply). Daily MCP trial: one free call per paid tool and per token per client each UTC day. Four tools x seven tokens = up to 28 independent trials; then 0.001 USDC per call. Read trial_policy_v2 and free_tier_status_v1 on the same MCP connection for current availability. A zero daily_cap is the separate credit pool, not the intro allowance. Full platform: https://hypernatt.com. Docs: github.com/DIALLOUBE-RESEARCH/hypernatt-terminal.
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
Real-time Booking.com rates for agents. Three things people do with this server. Scan for rate gaps: price_as_seen_from prices the same room from another market, so an agent can sample a property across countries and compare. Put live search in your app: search a destination or look a property up by name, no internal IDs, room-level rates as flat JSON. Run a 24/7 AI travel agent: add the server, sign in with Google, and schedule it. No ads, no sponsored content. You bring your own RapidAPI key, so every search is billed to your plan and never to anyone else's. Add https://hotels.flightpowers.com/mcp , click Sign in, sign in with Google, and paste your RapidAPI key once on the page that opens. Scripts and clients without a sign-in button send the key as x-rapidapi-key on the same URL.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Durable identity and memory for AI agents, anchored on the Emercoin blockchain.
Ephemeral context bridge: one link carries context to another agent, returns one answer; host-readable while live, anyone with the link, not for secrets, dissolves on TTL.
Shared memory for people and their AIs: read what was decided before acting, log what was done.
1911Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Hosted AI agents and locked workflows on connected apps, with human approval gates and a run ledger. Docs: https://docs.flowra.dev/guides/mcp
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
