"Transcribing Voice Conversations into Structured Meeting Notes" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Database for your AI agent. Turn its output into data, docs, skills, and apps you can actually use.
Search the Perfume Picks fragrance database: 13,000+ scents with notes, dupes, and wear data.
A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.
Ask Lever the messy recruiting-ops questions dashboards miss by connecting opportunities, applications, stages, notes, feedback, interviews, referrals, postings, requisitions, offers, users, sources, tags, files, resumes, and archive reasons. Find referral SLA misses, stale opportunities by owner, feedback debt by interviewer and hiring team, funnel leakage by recruiter/source/team, requisition fill-risk, offer hygiene gaps, archive-reason drift, and bottleneck owners. No dashboard build. No SQL
Connect Karma.Domains to ChatGPT, Claude, Cursor, VS Code, or another MCP client — and find a domain in plain language. The same auctions, expired, backorder, and buy-now data you use in the app, plus saved filters, notes and tags, guest share links, and SEO enrich — all from chat.
- KyomiOAuthai.kyomi.app
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.
- ChrysaiOAuthcom.chrysai
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.
Push rows from a dataset, file or Google Sheet into a Postgres, Supabase, Neon or MySQL table.
- GnosariOAuthcom.gnosari
AI chatbot that turns conversations into typed records. Create Gnosaris, set fields, read the data.
The Ramp MCP server enables users to securely connect Ramp with AI assistants like ChatGPT and Claude to query financial data and take actions using natural language. It transforms Ramp's developer API into a SQL interface that LLMs can query, allowing admins to analyze spend trends, identify cost savings, and run complex SQL analyses on comprehensive datasets (transactions, purchase orders, vendors, users), while all users can manage cards, view transactions, request reimbursements, and get expense policy answers.
Bring Kubit into your AI workflow — query your warehouse with natural language
- PasteSheet — Google SheetsOAuth via extensioncom.pastesheet
Query your Google Sheets as structured JSON: list sheets and tabs, read schemas, filter rows.
An agent-native database over MCP: shared, validated, structured records in every AI chat.
Create schemas and read, write, and organize structured records in EasyData.
