"Memory systems for AI agents" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pay-per-use APIs for agents: web research, data lookups, and metered endpoints billed to credits.
Hosted AI agent memory that learns from outcomes, with shared rooms, in Claude, Cursor and ChatGPT.
Getting Things Done (GTD) board for AI agents: capture to Inbox, next actions by context, projects, waiting-for, someday/maybe. Remote Streamable HTTP server with OAuth 2.1 login (passwordless email code). 16 tools + 4 prompts. Setup guide: https://gtdbrain.com/connect?source=glama
Search over 1.85 million captioned images using text, a reference image, or both. Upload a JPEG, PNG, or WebP image as base64, or provide a public HTTPS image URL. Find similar images from a Lightdrift asset ID and retrieve hosted file URLs, source licenses, and attribution. Connect with OAuth or an API key. Searches cost $0.005 ($5 per 1,000); image details are free. Setup: https://docs.lightdrift.ai/guides/images-mcp
Search jobs on verified employer job boards. Every link is the employer's own posting.
Search real-world UI & UX design references for mobile apps, web apps, and websites with Mobbin.
Swiss commercial-register intelligence: Zefix/SHAB companies and publications with AI lead scoring.
MCP connector for ship modelling and scale modeling: explore detailed ship model builds, historical sailing ships, build logs, tutorials, galleries, and research content.
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.
Compress, convert and resize images, and scan web pages for every image they load.
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.
Secure MCP Server for WordPress connects AI assistants and agents to WordPress with secure, controlled access. It lets AI interact with WordPress through MCP while helping organizations manage access, enforce policies, protect non-human identities (NHI), and require human approval for sensitive actions. Use it to securely connect tools such as ChatGPT, Claude, and Cursor with WordPress. Marketplace Link: https://wordpress.org/plugins/miniorange-secure-mcp-server/ Official website: https://plugins.miniorange.com/mcp-server-ai-policy-enforcement-wordpress ChatGpt Marketplace: https://chatgpt.com/plugins/plugin_asdk_app_6a312802286c8191bad0a7278a4e53ef Claude Marketplace: https://claude.ai/directory/miniorange-mcp-for-wordpress Cursor Marketplace: https://cursor.com/marketplace/miniorange
Personal-finance workspace for AI agents: accounts, spending, budgets, goals, and investments.
Plan last-mile deliveries from your AI assistant. Turns orders from spreadsheets, URLs, or pasted text into optimized delivery routes. It geocodes addresses, flags locations that need confirmation, and assigns stops across your fleet while respecting vehicle capacity, delivery time windows, and stop limits. Manage vehicles and depots, review route maps, and plan anything from a small delivery run to thousands of stops. Connect with your Vepathos account using OAuth.
SEO for AI agents: keywords, live SERPs, backlinks, rank tracking, site audits, Search Console
Shared memory for people and their AIs: read what was decided before acting, log what was done.
1911Royalty-free music for apps, games, video and podcasts: generate a track from a prompt, a genre or an image, swap individual instruments, run an endless stream, or search a ready-made catalogue.
Engram 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
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
