"MCP Orb - Model Context Protocol Orb Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
The integration hub for your CRM, field service and accounting apps. One plugin, two separate parts: integrations between two of your systems, and AI agents inside one of them. It connects the CRM, field service, accounting and online store systems small businesses run on. Don't see your system? Request it, right in the chat. Part 1. Integrations between two systems Set up in the chat, then they keep two of your systems in sync by themselves, so a new customer, a won deal or a paid invoice shows up where your team works without copying it by hand. - See which systems connect and what two systems can sync, no account needed - Choose the records that travel, one way or both ways, and the moment they travel: when paid, won, accepted or overdue - Ready rules, such as a won deal that becomes a draft invoice - Which fields go across, and how each system connects - Set it up in the chat, or get a link that opens the setup prefilled - For CRM Connector customers: your integrations, what failed and why, sync now, pause or resume Part 2. AI Agents inside one system An AI agent works with the records of one of your systems. Request your system right in the chat: we arrange the setup and enable it for your account, then you sign in to it. - AI Analyst: it reads your customer data, such as contacts, deals and invoices, and finds the same customer in your other connected systems - AI Agent: it also changes records when you ask, each change shown first, risky ones approved by you in CRM Connector - Automations: fixed rules inside that one system (when this happens, only if, then do that), made in the chat, approved once by you in CRM Connector, then run by the platform by itself - A change log with undo where the system allows it - Nothing in AI Agents syncs between two systems: that is an integration You stay in control: - You choose per system and per record type what the assistant may see or change - Changing records is a separate permission on the consent page, off unless you allow it - An automation never runs before you approve it, and you can pause or remove it at any time - It never deletes a record and never records a payment - It sets up, runs or pauses an integration only when you ask and confirm, and never deletes one - Disconnect at any time in CRM Connector under Settings, AI Assistants
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
Free Irish car counts and asking prices by brand/model/year/county. Paid listings and import checks.
DevSpeak is a writing tool for developers, available to your coding agent over MCP. Call `optimize_text` to improve a PR description, commit message, ticket or doc in the language it was written in, or set `correctionsOnly` to fix only spelling, grammar and punctuation. Call `translate_text` to turn rough notes into a technical spec, Jira tickets, an RFC, an API design or a data model for the audience you choose (Junior Dev, Senior Dev, Tech Lead, SRE or Data Engineer). It also translates README files with `translate_markdown`, refines earlier output and lists your history. Requires a DevSpeak API key; a free account includes one key with 50 API requests a month.
Verify identities, screen for AML/PEP risk, and detect fraud across Africa, Asia, Europe, and the Americas — directly from your AI assistant, with no custom integration code required.
Publishing our production Model Context Protocol (MCP) server for PDFWix (https://www.pdfwix.com) so Claude and AI agent users can securely inspect, merge, compress, split, watermark, and extract text from PDFs.
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
Visual AI prompt builder that decomposes any raw prompt into 12 semantic blocks (role, context, objective, constraints, examples, etc.) and recompiles them into Claude-optimized XML. Exposes decompose_prompt and compile_prompt tools.
A Model Context Protocol server exposing real-time and historical Colombo Stock Exchange (CSE) data to AI agents and LLM applications. Provides quotes and OHLCV price history, full financial statements (income, balance sheet, cash flow), pre-computed technicals (moving averages, RS ratings, volume signals), macroeconomic indicators, corporate actions, and rule-based screening across CSE stocks and sector indices, everything needed to build CSE-aware trading assistants, research tools, and market-analysis agents. This is the official MCP server of www.ceyloncharts.com
Nephia is a brand monitoring service, and this is its remote MCP server. Claude, Cursor, ChatGPT or any MCP client can read the mentions your brand gets on 14 sources: X, Reddit (posts and comments), YouTube, TikTok, Bluesky, Hacker News, Mastodon, Lemmy, GitHub, Product Hunt, Stack Overflow, any RSS feed, Vinted, and AI answers from ChatGPT, Gemini and Perplexity. Every mention arrives already read, with its sentiment and intent, so an agent can answer plain questions: which complaints came in since Friday, what Reddit said about us this week. The source is an argument, not a tool, so one call reads every source you watch. Sign-in is OAuth in the browser: no API key to copy. The consent screen has three permissions: read your mentions and Queries, change what is running (pause, resume, retire), and spend credits (semantic search and AI passes), which arrives unticked. Every tool description states its cost, so a model can budget before it spends. The server is on every plan, Free included, and reading your own mentions through it costs nothing.
Connect any AI agent to the NachoNacho marketplace with the Model Context Protocol MCP Let your AI search thousands of B2B SaaS AI products, compare deals, and sign up — all from chat
Render pages to images and PDFs, audit websites, explain Peppol rules, run integration test rigs.
Personal context for every AI: search, read, and write back to your private Markdown library.
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Free, public, read-only REST + Model Context Protocol server exposing real-time and historical DeFi liquidation telemetry for Aave, Morpho, Spark and Compound on Ethereum mainnet, plus block-builder market share data from the operator's own slot-by-slot shadow recorder.
Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).
Hosted long-term memory for AI agents via MCP. Recalld updates facts as information changes and retrieves relevant context. Connect with a Recalld US account.
Give AI assistants the context behind client website feedback. Read comments, screenshots, replies, element details, and developer briefs; organize priorities, update statuses, and export feedback from authorized projects. Coding agents with repository access can investigate issues and prepare fixes for review. Connect through Streamable HTTP and browser OAuth using a Simple Commenter account.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
