"Information about Snowflake Data Warehouses" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
Give AI assistants secure access to your organization's structured business data. Search records, create and update records, retrieve schema information, and manage workflow states using natural language. You need two values for every request: x-api-key — your Web Data Forms API Key x-group-id — your Web Data Forms Group ID You can find these in your Web Data Forms accounts group->information page. Preferred method: request header When possible, pass the credentials as HTTP headers: x-api-key: <your-api-key> x-group-id: <your-group-id> This is the preferred option because it keeps credentials out of the URL and is more secure. Fallback method: query parameters If your MCP client does not support custom headers, the server also accepts the credentials as URL query parameters. Example: https://mcp.webdataforms.com?x-api-key=abc123&x-group-id=xyz456 Detailed information here: https://github.com/Web-Data-Forms/mcp-server-docs/blob/main/README.md
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Bible corpus MCP server: scripture, Greek/Hebrew interlinear data, cross-refs, semantic search.
Neutral verification registry for femtech (women's health) information sources. It indexes sources by provenance, authority tier, jurisdiction, and machine-readable compensation disclosure. No diagnosis, no efficacy claims, no referral fees.
MCP server for Argo RPG Platform — connects AI assistants to campaign data via OAuth2
Read and write knowledge-base articles, categories, snippets, glossary, readers, and search data.
45 pay-per-call AI agent tools: scraping, SEO, crypto data, lint, agent memory. x402 USDC on Base.
Try Centric relationship intelligence: Brief Me, Relational IP radar, Draft As. Demo data.
Search and read public Wikivibe articles about AI coding, agents, MCP, GEO, bots and deployment.
Urban intelligence knowledge graph. Structured locality data for civic problem-solving.
Deterministic fact verification for AI agents — checksums & curated data, not guesses.
Authoritative information about Jennifer Rebholz, Arizona personal injury attorney and trial lawyer.
A wiki about your life that writes itself. Save from any AI chat, recall it in the next.
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
Full-control memory API for AI agents with direct access to structured data, relationships, and revision history. Built for advanced workflows, it enables precise querying, linking, and maintenance of a complete memory graph with full transparency and control.
Data-ontology maps of your business systems, served to AI agents over MCP.
Gives an agent read-only access to a SIGNLD workspace: list data connections and table schemas, run read-only SQL over the data, and read the knowledge graph, entities, metrics, and topics. It can also create and update knowledge graph elements and topics, build charts from query results, and save standalone HTML dashboards.
