"Automated Outreach Tools or Techniques" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Connect LLM tools to your Algolia account with user-scoped access for internal workflows.
The agent-native cloud: database, functions, AI, storage, computers. 51 tools, one API key.
It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
PDF, image, video, OCR, screenshot, SQL, QR and text tools for agents. No API key, no signup.
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/
Read and edit DB Planner database schemas (DBML/SQL), Mermaid diagrams and board layouts from any MCP client. 40 tools with annotations and output schemas. OAuth sign-in, with read and write as separate scopes enforced server-side.
Comprehensive PostgreSQL documentation and best practices, including ecosystem tools
Forklift & aerial-lift compliance records for warehouses — read-only demo tools.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
Provides tools to manage Memorystore for Valkey instances and backups.
VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage
Read-only access to business data from Exact Online, Twinfield, AFAS, Nmbrs, Moneybird, HubSpot and 30+ other sources for ChatGPT, Claude and other MCP clients. DigiData syncs each source into a dedicated PostgreSQL database per customer; the MCP server exposes bounded tools (list_sources, list_tables, describe_table, query_table, aggregate_table, get_sync_status) over admin-approved tables and columns only. OAuth 2.1, no write tools, no arbitrary SQL.
Query and join across SaaS tools, SQL, and NoSQL databases through one unified SQL interface.
Save and find clothes you own in a digital closet. Add clothing descriptions or photos, search saved wardrobe text, remove selected garments, and get a private link to continue in Shopbots. Hosted by Tolstoy. Uses OAuth with PKCE and dynamic client registration; no paid account required. Shopbots linking requires separate sign-in and confirmation. Removing a garment deletes its closet record; copied photos are currently retained.
Anomaly AI is an AI data analyst for large datasets and spreadsheets. Its remote MCP server lets Claude Code or another MCP client with OAuth ask Anomaly about your Excel, CSV, GA4, database and warehouse data. Anomaly runs the analysis and replies in plain text with dashboard links, file downloads and chart images. MCP OAuth sign-in, no API key. Needs an Anomaly account.
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.
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.
- 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.
Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.
