#business-intelligence

The most comprehensive signal intelligence on Swiss businesses — 800K+ companies with people, FINMA/SRO regulatory data, building permits, procurement tenders, and AI-enriched profiles from the official commercial register.

Agent-native B2B lead enrichment. Search, score, and subscribe to enriched company data with firmographics, tech stack signals, and buying intent.

Official MCP server for AskCyborg. Stress tests every public and private company through intense analyst debate, focused on what makes or breaks the business decisions that ride on them — packaged as 30-page reports, audio briefings, and a proprietary Cyborg Score (1-10) calculated from hundreds of data points per company. Four tools: - search_companies(query, limit) — search the corpus by name or industry keyword. Returns Cyborg Score, one-line strategic profile, and full report URL. - get_company_report(company) — full structured report with executive summary, Cyborg Score rationale, top insights, competitive positioning, and recent developments. - get_cyborg_score(company) — just the 1-10 score for fast lookups. - compare_companies(companies[]) — side-by-side comparison of 2-5 companies on score, industry, key insights, and competitive positioning. Hosted at https://mcp.askcyborg.com/mcp (Streamable HTTP transport, MCP 2025-03-26 protocol). Anonymous free tier: 20 requests/minute per IP, no API key required. Marketing/install page: https://askcyborg.com/mcp Source: https://github.com/Ask-Cyborg/askcyborg-mcp (MIT, TypeScript on Cloudflare Workers)

The Google for AI agents — ask Claude to research any company, analyze competitors, track market trends, monitor breaking news, and investigate key people. 6 intelligence tools returning structured JSON with per-source confidence breakdowns and A–F data quality grades. Aggregates DuckDuckGo, NewsAPI, Wikipedia, web scraping, and social profiles.

Enrich any UK business with Companies House records, Google Places ratings, website/SSL status, and social media links in one MCP tool call. Four data sources, single JSON response.

Enrich any UK business with Companies House records, Google Places ratings, website/SSL status, and social media links in one MCP tool call. Four data sources, single JSON response.

Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.

MCP server for Lightdash analytics platform. Enables AI assistants like Claude to discover data, execute queries, create charts, and manage dashboards programmatically. Supports Lightdash Cloud and self-hosted instances.

AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.

AI-powered business intelligence MCP server with 8 tools. Get competitor analysis, market research, SWOT analysis, customer personas, pricing analysis, local market insights, and full business plan sections. Free tier included — connect to Claude, Cursor, or any MCP client. Built with GPT-4o for actionable business strategy for small businesses, startups, and consultants.

OrionBelt Semantic Layer is an API-first engine that transforms declarative YAML model definitions into optimized SQL for Postgres, Snowflake, ClickHouse, Dremio, and Databricks. It provides a unified abstraction over your data warehouse, so analysts and applications can query using business concepts (dimensions, measures, metrics) instead of raw SQL. Every capability — model loading, validation, query compilation, and diagram generation — is exposed through a REST API and an MCP server, making OrionBelt easy to integrate into any application, workflow, or AI assistant.

Ultra-fast to deploy agentic-first mcp-ready semantic layer. Let your data be like water. Bonnard is a CLI for building and deploying semantic layers. Define metrics and dimensions in YAML, deploy a governed MCP server, and serve AI agents and BI tools. Supports Snowflake, BigQuery, Databricks, PostgreSQL, and more. Ships with native integrations for Claude Code, Cursor, and Codex. GitHub: https://github.com/meal-inc/bonnard-cli Docs: https://docs.bonnard.dev/docs/ npm: https://www.npmjs.com/package/@bonnard/cli

精准提供目标企业的工商信息、经营资质、风险情况等等，为您的AI接入最新的企业数据，省去网络搜索费token、企业总是关联不对的烦恼。

QuerySculptor is a GraphQL query builder designed for AI agents that provides 26 structured tools via the Model Context Protocol (MCP). Instead of generating complex GraphQL queries from scratch, AI agents can build queries step-by-step with real-time validation, schema introspection, and error prevention. It works with Claude, Cursor, and other MCP clients, using Redis for session management and featuring a live demo with the Pokemon API. The tool transforms the traditional error-prone approach of raw GraphQL generation into a guided, conversational workflow perfect for AI assistants and chatbots.

启信宝 MCP 是基于启信开放平台现有接口，赋能 AI 大模型快速获取启信开放平台所有API接口数据，在此基础上开展进一步分析处理，通过快速、安全、精准获取并处理企业数据，打通从数据获取到智能决策的“最后一公里”。

A comprehensive **Model Context Protocol (MCP)** server for market sizing analysis, TAM/SAM calculations, and industry research. Built with TypeScript, Express.js, and following the MCP 2024-11-05 specification.

Modular server for handling MCP protocol

🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥

Mirror of

Database interaction and business intelligence capabilities