"Using Bing Search to Answer Questions" matching MCP connectors:

Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting

Ask Personio Recruiting the recruiting-ops questions dashboards miss by connecting applications, stage transitions, candidates, recruiting jobs, categories, org units, workplaces, jobs catalog, webhooks, event activity, and intake documents. Find stage-movement stalls, candidate freshness gaps, source quality by job/category, hiring load by department and workplace, webhook delivery issues, intake readiness gaps, and bottleneck owners. No dashboard build. No SQL.

Search 500+ wire-harness & cable-assembly manufacturers by country, industry, and capability.

Search live job postings from 30+ ATS feeds and job boards, normalized to one schema.

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

Search European tech funding rounds, companies, investors and exits — sourced, EUR-normalized.

Live job postings for AI agents: search normalized postings from 30+ ATS feeds and job boards by title, skill, country, remote, seniority and recency. Also lists sources and pricing plans.

Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.

AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.

Self-hosted, open-source MCP gateway: turn any API, database or MCP server into custom connectors for Claude, ChatGPT, Gemini, Copilot & Cursor — no code. Converts REST, SOAP, WSDL, GraphQL & SQL to MCP, with OAuth2, RBAC & audit log. 175+ pre-built adapters. This is the public read-only demo endpoint — run your own at https://github.com/HelpCode-ai/anythingmcp

Connect your Nubank account to AI via Brazil's Open Finance: balances, statements, cards, investment

Interact with your Google Cloud Datastream resources using natural language commands.

Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).

Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.

Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.

One command to validate, transform, and deduplicate — chain GoldenCheck + Flow + Match.

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.

Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...

Cross-tool context for your data stack. Search, lineage, and impact across warehouse and BI tools.

Cross-source search across 18 real-time data sources, source-cited and corroboration-checked.