"Firebase Firestore Database Information" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your agent needs creators who actually fit — starting from one profile you already like, or from a brief — and then a way to reach them. **What you can ask for** • "Find creators similar to this profile, in this country." • "Who else makes content like this account, with a comparable audience?" • "Look up the contact email for this creator." • "Build a shortlist for this brief and give me the emails." **How to use it** Point any MCP client at https://mcp.aisa.one/creator-discovery/mcp and sign in with OAuth — there is no key to create or paste. 2 tools: similar-creator lookup from a seed profile or a brief, and an email lookup for a creator. **Why this rather than the source** Similarity from a profile you already trust, rather than a filter over a follower-count database. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Shortlist the creators here, then ask the same agent for their posting history on Instagram or X — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/social/mcp for what those creators actually post; https://mcp.aisa.one/sales/mcp for the rest of the outreach.
Query your Postgres from ChatGPT or Claude without exposing the database or handing over credentials. Run npx boltschema connect next to your database and it dials out over HTTPS — no inbound firewall rule, no open port, works with localhost and VPC-private databases. Read-only is enforced by a SQL guard, a Postgres READ ONLY transaction, and a scoped role generated for you.
Search AutoID products Search the official AutoID catalog by model, SKU or text. Use… Get AutoID product group Returns authoritative grouped-product information for an AutoID… List AutoID product variants Lists exact SKUs belonging to an AutoID grouped product. Default… Get exact AutoID SKU Returns canonical data for an exact AutoID SKU. Use this for… Get live AutoID price and stock Returns the current authoritative AutoID offer for an exact SKU… Get compatible AutoID related products
Structured habitat data and advisory tools for aquariums, marine tanks, terrariums and paludariums.
AgentBroker is a remote MCP server for discovering and inspecting a canonical catalog of API and agent services. It exposes structured service metadata, input/output schemas, provider information, and current pricing through MCP tools such as search_services and get_service.
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Read-only MCP connector for The Dose Guy source-linked peptide and compound database. Search 260+ compounds, compare vendors and prices, inspect ranking evidence, and retrieve canonical page links. No authentication required.
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.
Realtime financial context for AI agents: what changed, who is affected, and what to watch next. One suite covering news, events, guidance, filing changes, sentiment, stakeholders, and alerts. Information-efficient responses with evidence for every result. First-class point-in-time safety for backtests. Pairs well with web search and a market-data API. All data is our own.
The agent-native cloud: database, functions, AI, storage, computers. 50 tools, one API key.
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.
Search foods, compare nutrients, and look up the full USDA FoodData Central database.
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
Search and retrieve public INMAR services, projects and business information.
Search public documentary film reference pages and check which titles stream on GuideDoc.
Editorial guide to restaurants and bars — hand-picked venues with opinions, not a places database
A personal RAG database you build from chat, so AI creates work that sounds like you.
Search policy entries by topic keywords.
51Search the Percolate specialty coffee database: 1,100+ coffees with brew recipes and pairings.
