"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.
Get better answers from business data. Serve data from CRMs, databases, ERPs or SaaS apps via Dataddo MCP, which adds needed context and descriptions to improve correctness and reduce confidently wrong answers.
Connect your ads, shop, analytics, social, CRM and finance platforms once, then let Claude, ChatGPT, Cursor or any MCP client read, join and explain your numbers. Public statistics from the World Bank, IMF, Eurostat, OECD, WHO and SEC filings come as context, searchable and chartable from the same tools. Read-only by design, every number carries its source.
AI-powered data integration platform. Onboard users and run DPF data workflows.
The right context at the right time, from the world's leading data providers. One API. 800+ tools.
Turn any table into a real .xlsx or CSV file: numbers stay numbers, header frozen. Free, no storage.
The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data. To get started, including information on signing up and obtaining your Ambee key, check out the Ambee documentation on https://docs.ambeedata.com
Token-bounded (< 1.5 KB / ~300 tokens) public data refinery for AI agents. Delivers sub-5ms corporate filings (US SEC EDGAR, UK Companies House, France INPI), beneficial ownership graphs, public procurement tenders (Spain PLACSP, EU TED), and automated corporate risk scoring. Cuts LLM context waste by ~95%.
CompanyGraph: Written once, read by both
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
Use your Fulcra secure context lake to collaborate with other agents, read and write data, and more
MCP server for the Honeydew semantic layer. 11 tools to explore the model, define entities/relationships/attributes/metrics/contexts/domains, validate, and query — all in plain English over Snowflake, Databricks, and BigQuery. Same governed model that powers Tableau, Power BI, and Looker.
Cross-tool context for your data stack. Search, lineage, and impact across warehouse and BI tools.
Ultra-fast, native AWS edge-cached infrastructure delivering high-quality synthetic logic reasoning datasets for multi-turn AI model training.
Run one LLM instruction over every row to classify, extract or summarise into new columns.
Manage your real-estate stock on Propick (Dubai): bulk listing sync, lookups and run reports.
