"Understanding Unrestricted Model Abilities" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Phasio is the operating platform contract manufacturers run on: quoting, production, and back office across additive, CNC, molding, and every process in between. This connector gives LLMs like Claude, ChatGPT and Grok access to your Phasio workspace, so you can interact naturally with your manufacturing data. Commercial - Which customers drive the most revenue? How storefront self-service orders compare against quotes your team builds by hand? Where do carts convert and where they stall? Parts - Inspect any parts volume, bounding box, minimum wall thickness and watertightness, with rendered orthogonal views. Find near-duplicates of a part you've already made before you quote it again. Pricing - Run quotes against parts using your LLM. Ask the model to explain why a part got a certain price, and to tune and refine your pricing equations. Production - Where a job's parts sit on the routing right now? What's been scrapped and why, and which other jobs were caught by the same failed build? Setup - Easily configure pricing equations, shop floor routing and your QMS agentically.
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
Deterministic company valuation and corporate finance tools for AI agents — IRR, NPV, MOIC, DCF, WACC, enterprise value, EV multiples, CAPM, beta and sensitivity analysis via Model Context Protocol. Useful for financial analysis, equity analysis, quantitative analysis, financial projections, financial formulas and financial modeling.
Deterministic liquidity and leverage ratio tools for AI agents — current, quick and cash ratios, defensive interval, debt-to-equity, debt-to-assets, equity multiplier and interest coverage via Model Context Protocol. Useful for corporate finance, credit analysis, financial analysis, financial formulas and financial modeling.
Free go-to-market tools for B2B revenue teams, from zRev AI. Grade any llms.txt file and get specific fixes, run a cold read of any homepage to see what an AI assistant would say about that company, model the annual impact of AI across a sales and marketing motion with your own numbers, and pull a 47-question go-to-market due diligence checklist. No API key or sign-up needed. zRev AI helps B2B software companies grow revenue faster by building AI into the sales and marketing systems they already use. Learn more at https://www.zrev.ai
Deterministic profitability and market-value analysis tools for AI agents — margins, ROA, ROE, ROCE, ROIC, EPS, P/E, P/B, dividend yield and payout ratio via Model Context Protocol. Useful for corporate finance, equity analysis, financial analysis, quantitative analysis, financial formulas and financial modeling.
Deterministic time-value-of-money and fund-performance tools for AI agents — future value, present value, CAGR, annuities, perpetuities, loan payments, payback, discounted payback, DPI, RVPI and TVPI via Model Context Protocol. Useful for corporate finance, financial projections, financial analysis, quantitative analysis, financial formulas and financial modeling.
Simulate, test, and analyze cloud architectures without deploying real infrastructure. Cloud World Model enables AI agents to model cloud environments, evaluate architecture behavior and costs, run failure and chaos simulations, and explore infrastructure scenarios across cloud providers.
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
Deterministic operational-efficiency ratio tools for AI agents — asset, fixed-asset, inventory, receivables and payables turnover, days outstanding measures and cash conversion cycle via Model Context Protocol. Useful for corporate finance, financial analysis, working-capital analysis, financial formulas and financial modeling.
The GVRN Incorporation MCP is a public Model Context Protocol (MCP) server that lets AI agents — on any LLM provider — collect and submit company incorporation requests to GVRN on a user's behalf. Every submission is reviewed by GVRN's corporate secretarial team, who follow up with the user by email. All fields are optional, so an agent can submit early with whatever the user has provided and let a specialist fill in the gaps.
Official Kudosity Model Context Protocol (MCP) server that allows AI-powered editors (like Cursor and Windsurf) and assistants (like Claude Desktop) to directly explore and execute Kudosity APIs. With MCP, your AI can search API specs, generate code snippets, and run live requests; all without leaving your development environment.
Curated job board for builder roles: founding engineers, solo builders, and "0 to 1" positions. Search and filter by location, salary, seniority, workplace model, visa sponsorship, and more. No API key needed.
Protects AI coding agents from installing malicious open source packages. Every npm and PyPI package is checked against SafeDep’s real-time threat intelligence before installation.
Trust gate for AI agents: multi-model adversarial consensus, signed and verifiable verdicts.
Cryptocurrency fundamentals for agents: TVR Scores, rankings and model-derived valuation estimates.
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.
Onchain Diary exposes its full knowledge base — 96 Web3 security articles and 220 glossary terms, in English and Chinese — through the Model Context Protocol. Any MCP-capable assistant can search it and read complete articles without scraping HTML.
IPStack MCP Adapter turns IPStack's REST APIs into Model Context Protocol tools so any MCP-compatible client can call them directly in conversation. The first release ships IPStack IP geolocation and security lookups (single IP, caller's IP, and bulk). Additional APILayer services are added by registering them in a single config file, so the catalog grows without client-side changes.
