--- title: "Connect Federal Register to Qdrant Vector Store - APIANT.ai" description: "When \"New document\" fires in Federal Register, your agent runs \"Add collection\" in Qdrant Vector Store." canonical: "https://apiant.ai/connect/federal-register-to-qdrant-vector-store" --- # Connect Federal Register to Qdrant Vector Store When **New document** fires in [Federal Register](https://apiant.ai/connections/federal-register), your agent runs **Add collection** in [Qdrant Vector Store](https://apiant.ai/connections/qdrant-vector-store). Describe the whole flow and it is built, tested on every scenario and kept running. Federal Register **1** trigger Federal Register **7** actions Qdrant Vector Store **15** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Federal Register and Qdrant Vector Store to do together? Give your AI client this address. `https://mcp.apiant.ai` One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser. ### Set it up in your client ### Claude Code Run this in the directory you want to work in. `claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### Claude, web and desktop Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Cursor Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Codex and the ChatGPT desktop app Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Any other MCP client Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Federal Register can start in Qdrant Vector Store - When **New document** in Federal Register then **Add collection** in Qdrant Vector Store - When **New document** in Federal Register then **Add payload index** in Qdrant Vector Store Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships. Everything your agent can do with Federal Register and Qdrant Vector Store ## Triggers and actions 1 trigger · 22 actions - Trigger **New document** Polling trigger that fires when a new Federal Register document is published. - Action **Find documents** Search all Federal Register documents published since 1994 by term, agency, document type, publication/effective date, and docket number. - Action **Find public inspection documents** Search public inspection documents currently scheduled for future publication. - Action **Get agency** Fetch a particular agency's details by slug. - Action **Get document** Fetch a single Federal Register document by document_number, returning its full text and metadata. - Action **Get issue** Fetch a document table of contents for the print edition based on publication_date. - Action **Get public inspection document** Fetch a single public inspection document by document_number. - Action **List agencies** Fetch all agency details known to the Federal Register. - Action **Add collection** Creates a new Qdrant collection with the vector size, distance metric and storage settings you choose. - Action **Add payload index** Creates a payload index on a field of a Qdrant collection so filters and searches on that field run faster. - Action **Add points** Adds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing points that have the same ids. - Action **Add snapshot** Creates a new snapshot of a Qdrant collection and returns the snapshot's name, size, checksum and creation time. - Action **Count points** Returns how many points in a Qdrant collection match an optional filter, or the total number of points when no filter is given. - Action **Delete collection** Deletes a collection and all of the points and data stored in it. - Action **Delete points** Deletes points from a Qdrant collection, either by a list of point ids or by every point matching a filter. - Action **Find points by vector** Returns the points in a collection whose vectors are nearest to the vector you supply, ranked by similarity score, with their payloads. - Action **Get collection** Returns the details of a collection: its status, point and segment counts, vector and index configuration, and payload schema. - Action **Get point** Returns a single point from a Qdrant collection by its id, including its payload and vector. - Action **List collections** Returns the names of every collection in your Qdrant instance. - Action **List points** Returns the points stored in a Qdrant collection, optionally narrowed by a filter and ordered by a payload field, fetching every page. - Action **List snapshots** Returns every snapshot taken of a collection, with each snapshot's name, size, checksum and creation time. - Action **Update collection** Updates the settings of an existing Qdrant collection, such as its vector, index, optimizer, quantization, strict-mode or metadata parameters. - Action **Update point payload** Sets payload values on the chosen points in a Qdrant collection, merging them into each point's existing payload. Pick the points by id or by a filter. ## Each app on its own - [ **Federal Register** The Federal Register is the daily journal of the United States government, published as a REST API.](https://apiant.ai/connections/federal-register) - [ **Qdrant Vector Store** Vector database for storing embeddings and running similarity search with metadata filtering, via REST or...](https://apiant.ai/connections/qdrant-vector-store) Reviews ## What our customers say ## More from Federal Register - [ **Federal Register to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/federal-register-to-hubspot) - [ **Federal Register to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/federal-register-to-salesforce) - [ **Federal Register to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/federal-register-to-slack) - [ **Federal Register to Google Sheets** Google Sheets](https://apiant.ai/connect/federal-register-to-google-sheets) - [ **Federal Register to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/federal-register-to-gmail) - [ **Federal Register to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/federal-register-to-google-calendar) ## More into Qdrant Vector Store - [ **HubSpot to Qdrant Vector Store** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-qdrant-vector-store) - [ **Salesforce to Qdrant Vector Store** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-qdrant-vector-store) - [ **Slack to Qdrant Vector Store** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-qdrant-vector-store) - [ **Google Sheets to Qdrant Vector Store** Google Sheets](https://apiant.ai/connect/google-sheets-to-qdrant-vector-store) - [ **Gmail to Qdrant Vector Store** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-qdrant-vector-store) - [ **Google Calendar to Qdrant Vector Store** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-qdrant-vector-store) Questions ## Federal Register and Qdrant Vector Store, answered ### ### What can start an automation from Federal Register? Any of Federal Register's 1 trigger in the catalog, including New document. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Qdrant Vector Store when something happens in Federal Register? Any of Qdrant Vector Store's 15 actions, including Update collection, Update point payload, Add collection and Add payload index. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Qdrant Vector Store to Federal Register? Qdrant Vector Store has no triggers in the catalog today, so automations start in Federal Register. If you need the other direction, ask: your agent reads Qdrant Vector Store's API documentation and adds it. ### ### Do I have to build a connector for Federal Register or Qdrant Vector Store? No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running. ### ### Can my AI client use Federal Register and Qdrant Vector Store without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both. ### ### What happens when something fails? Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships. ### ### Is there a free plan? Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.