"How to add MCP to the Firefox browser" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Chartbrew connects databases and APIs to dashboards and reports. Its official MCP server lets AI assistants find dashboards and datasets, read chart results, explore supported data sources, and create datasets and chart previews. Connect directly to the hosted server with OAuth or a Chartbrew API key. Access follows your Chartbrew team, role, and approved permissions. Review chart previews in Chartbrew before adding them to a dashboard. No local installation is required.
Ask your PostgreSQL, MySQL or Odoo data in plain words from Claude, ChatGPT or any MCP app. Read-only: STYD runs safe queries and answers with the real number, the period and the definition it used. No SQL needed. OAuth sign-in, sample data to try right away, and every answer names its workspace so data from different companies is never mixed.
Odoo MCP connector for ChatGPT and Claude: ask sales, invoices and stock in plain words. Read-only.
Check an Australian vehicle for open safety recalls by VIN. The index mirrors the federal vehicle recall register: 5,587 notices and 8.8 million VINs, refreshed hourly. Look up one VIN, check a batch, search by make and model, or read the full notice. Free, read-only, no authentication.
Connect LLM tools to your Algolia account with user-scoped access for internal workflows.
Turn Microsoft Fabric tables into an explainable graph and a GraphQL API. Understand how your Fabric tables fit together. See how your Fabric tables connect: the keys and relationships Krusgraph suggests, why, and what your data says, before a report or an app depends on them. A one-stop-shop for Data Engineering on Fabric
Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
Single-digit millisecond search across vectors and text. At any scale, for fraction of the cost. https://warpsearch.io/
Tenant-isolated clinical Model Context Protocol (MCP) server for DokiTab Cloud EMR & Hospital Management Software. Enables AI agents to query ICD-10 diagnoses, NHIA/HMO drug tariffs, FEFO pharmacy stock, lab reference ranges, and hospital TCO analytics across 69 clinical modules.
A public roll of agents who passed by: sign it, and keep one record per key across the stations.
Exact, shared memory for multiple AI agents. Azquo is a hierarchical database: each fact is stored once in hierarchies that always total correctly, every write is attributed to the agent and person behind it, and any figure can be traced back to the file and cell it came from. There is no schema to design first - agents build and reorganise the structure themselves - and people work with the same data live in Microsoft Excel. Suited to finance and insurance work, where figures must stand up to review.
Query your databases and build dashboards, Streamlit apps and reports your team logs in to.
ParseHub.dev is a hosted document-to-records service with a remote MCP server. Agents can upload a CSV, PDF, or Word file, summarize and analyze CSV data (filter, sort, group_by, and more), read text from PDF and Word files, extract attendees, agenda items, and action items from meeting notes, ask a question about an uploaded document, and store files as database records to list and read later. Each account sees only its own files and records. **Endpoint:** `https://parsehub.dev/mcp` (Streamable HTTP, stateless) **Auth:** API key in the `X-API-Key` header (keys start with `mcp_`), or `Authorization: Bearer <API key or JWT>`. Every request without credentials returns 401. **Plans:** Free (100 API requests/month, 1 document upload), or 5,000 requests/month on the $9/month or $42/year plan. Every MCP request counts toward the allowance. **Tools:** upload_csv, summarize_csv, analyze_csv, upload_document, read_document, extract_meeting_notes, ask_document, database_status, list_database_documents, get_database_document, store_document, extract_stored_meeting_notes, export_database (administrators only). Not affiliated with ParseHub (parsehub.com), the web-scraping tool. ParseHub.dev does not scrape websites. By Poietes LLC. Docs: https://parsehub.dev/guide#connect-via-mcp
Runs an eight-stage isolation test against your staging Supabase and issues a signed attestation. Needs a RowAttest API key: Authorization: Bearer rak_... (create one on the API keys page in the app).
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
The agent-native cloud: database, functions, AI, storage, computers. 51 tools, one API key.
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Your Caspio data is MCP-enabled. Bring any dataset and put your AI assistants to work. No coding.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
AI-powered life cycle assessment and modelling: connect to LCA databases, build and analyze systems
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Estimate what your company's operational data is worth to AI labs. Counts only, never content.
Verified robot and AV incidents, first report to court outcome, plus the NHTSA SGO crash file
Access control for text-to-SQL agents. Before the model sees the schema, schemagate keeps only the tables and columns the caller may read, picks the few a question needs, and refuses hidden ones at query time. This public endpoint serves a sample schema (no real data). Self-hosted it works with Postgres, Oracle, MySQL, SQL Server and SQLite.
Search the Perfume Picks fragrance database: 10,000+ scents with notes, dupes, and wear data.
Whisky & bourbon collection in AI: search the catalog, read and manage your shelf (OAuth).
Push CSV, TSV, JSON, JSONL or Parquet from your agent and get a link a human can explore: filters, column charts, SQL, pinned findings and what changed since the last push. Viewing is free, no signup; anonymous datasets live 7 days. Tools: push, pin_finding, get_dataset, list_datasets, delete_dataset, get_limits. Docs: https://rows.page/docs/mcp
Search the Pour Picks bourbon & whiskey database: 4,700+ bottles with tasting profiles and prices.
Read-only access to the Artbook Society published catalog: books, artists, editors and events.
ReceivableLedger: the site's own MCP server — dataset; every answer cites the site.
