#ais

High-performance FastAPI server implementing Model Context Protocol (MCP) for seamless integration with Large Language Models (LLMs). Built with modern stack: FastAPI, Elasticsearch, Redis, Prometheus, and Grafana.

makes the jewish library accessible to LLMs through the MCP protocol

Demo of GenAIScript's MCP Server capabilities

an mcp server with candle inference

Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.

This repository demonstrates a variety of **MCP Poisoning Attacks** affecting real-world AI agent workflows.

Let the grumpy senior dev review your code with this MCP server

A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request execution capabilities. Perfect for integrating private APIs with Claude Desktop.

Repo to hold Aisera Public MCP Servers

Fast MCP integration for NetworksDB API - Query IP addresses, organizations, ASNs, and DNS records using natural language through Model Context Protocol

Official AI SDK by Ampersand

🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.

Query maritime vessel tracking data via natural language. Search vessels by name/IMO/MMSI, get real-time positions, ETAs, portevents, emissions, inspections, casualty records, and NAVTEX safety messages. Powered by vesselapi.com.

Official MCP Server for AIStor

An MCP server that provides real-time AIS positions from the Saillogger network into AI applications

MCP Server to get access to Reviews that are posted using the Async Praise Rebuke App

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

MCP Server for Beckn Protocol (SSE Transport)

Automatable GenAI Scripting

A comprehensive Model Context Protocol (MCP) server for web security reconnaissance and analysis.

A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based research within Claude Desktop and other popular MCP clients.

Reply.io is a sales engagement platform used by thousands of B2B sales teams to automate multichannel outreach — email, LinkedIn, calls, SMS, and WhatsApp. The Reply.io MCP server exposes the platform's core functionality as tools that any MCP-compatible AI model can call directly. Once connected, your AI assistant can list and manage sequences, pull real-time performance analytics (delivery, open, reply, and click rates at the sequence and step level), enroll contacts, and control campaign state — all through natural language, no browser required. Typical use cases: - Ask Claude or Cursor to pull open and reply rates for your active sequences and identify underperformers - Enroll a new contact in a sequence mid-conversation, without switching to the Reply.io dashboard - Pause or start sequences, then check step-level stats to diagnose drop-off points - Build AI agents that automate outreach workflows end-to-end — prospect, enroll, follow up, analyze The MCP server is hosted by Reply.io and authenticated via API key. No self-hosting or open-source setup is required.

Caplia is an MCP server for venture-capital pitch-deck scoring and deal-flow management. AI agents — Claude Desktop, Cursor, ChatGPT, Windsurf, or any MCP client — submit pitch decks, get back CRI (Caplia Readiness Index) quality scores plus thesis-fit scores, list companies in the caller's pipeline, pull data-room contents, and poll async jobs. Built for VC funds, accelerators, angel networks, and corporate-development teams. 12 tools (search/list/get companies, get CRI + thesis scores, list documents + signed URLs, submit decks for scoring). Production: https://mcp.venture.caplia.ai/ (cap_inv_live_* keys). Sandbox: https://mcp-sandbox.venture.caplia.ai/ (cap_inv_test_* keys). Auth: Bearer token from Caplia portal → Settings → API Keys. Docs: https://docs.venture.caplia.ai/integrations/mcp

KRTR are the pre-diligence AI experts — the intelligence layer for the people who fund, accelerate, and build early-stage companies. Pre-diligence is the work that happens BEFORE term sheets and formal due diligence — the screening, triage, and pattern-matching that decides whether a deal moves forward. Done well, it compresses weeks of analyst work into minutes and surfaces the specific gaps that drive better founder conversations. Upload a pitch deck and KRTR runs a multi-agent Assess Report in 5–10 minutes: typed agent waves across LLM cascades, an AI Reviewer validating every claim against industry-specific reasoning, scores calibrated on KRTR's proprietary industry rubric so a 78 on a SaaS deal means the same peer-relative position as a 78 on a biotech deal. For individual investors and scouts: triage deal flow, capture signals, set dispositions, prep for partner meetings. See live peer activity attributed within your firm, anonymized across competitors. For VC firms, accelerators, and incubators: screener-mediated or direct intake, attributed team signals, expert invites, configurable funnel stages, and AI-synthesized deal memos ready for partner or cohort review. For founders: see exactly how investors and AI score your deck, fix the gaps the platform flags, iterate in a private sandbox, then release updates and ping engaged reviewers. KRTR Connect surfaces matched investors and programs; the Dataroom and Meeting Brief tools close the loop on every conversation. KRTR is pre-diligence intelligence — built to drive evidence-based engagement, not replace human judgment.