--- title: "LlamaCloud MCP server for AI agents - actionlake" description: "Give Claude 199 LlamaCloud actions through one MCP server: pipelines, extraction agents. Your agent never holds the credential. 100,000 calls a month free." canonical: https://actionlake.com/connectors/llamacloud updated: 2026-10-23 --- Connectors · AI # LlamaCloud MCP server for AI agents. actionlake is an MCP gateway: one remote MCP server that connects Claude and other MCP clients to LlamaCloud and the rest of your systems. It gives your agent 199 LlamaCloud actions (117 reads, 48 writes and 34 that wait for a confirmation) and holds the LlamaCloud credential itself, so the agent never does. It paces LlamaCloud's limits and records every call. [Connect LlamaCloud free](https://actionlake.com/console?start=sandbox) [See pricing](https://actionlake.com/pricing) 100,000 free calls a month. No card, no email, no password: press Start a free sandbox on the next screen and keep the key it shows you. `claude mcp add --transport http actionlake https://connect.actionlake.com/mcp` the first call ``` do { action: "llamacloud.files.list", intent: "check which LlamaCloud account is connected" } # List Files · read · 1 upstream call ``` - 199 actions in one signed file - 117 read look, never change - 48 write create and update - 34 wait for a yes destructive, confirmed first Set up ## Connect LlamaCloud in three steps. 1. 01 ### Add actionlake to Claude. Run the command once in Claude Code; its consent page can create a free sandbox: 100,000 calls a month, no card. In the Claude app, add a custom connector with the URL below and paste your key on the consent page. Creating a new sandbox from the Claude app is not yet tested by us. `https://connect.actionlake.com/mcp` 2. 02 ### Connect LlamaCloud. Bearer token. No consent screen: your agent can connect it for you, but the key then passes through your chat. To keep it out of the model's context, paste it in the console instead. actionlake stores what you paste write-only, sealed under your tenant's key. - `access_token` LlamaCloud API key (llx-...) - `host` Where your LlamaCloud lives: your host ``` account { op: "connections.requirements", service: "llamacloud" } # free: exactly what to paste, and what is found for you ``` 3. 03 ### Make the first call. Check before a write. Ask in plain words; Claude picks the action. Before anything changes, `check` validates the call and prices it, for free. ``` do { action: "llamacloud.files.list" } # list files · read · 1 upstream call check { action: "llamacloud.directories.create", input: { … } } # free: inputs, permissions, cost and confirmations, nothing sent ``` LlamaCloud at a glance **Sign-in** Bearer token. No consent screen: your agent can connect it for you, but the key then passes through your chat. To keep it out of the model's context, paste it in the console instead. **You provide** `access_token` **Setup fields** `host` **Limits we pace to** 300 calls a minute, per connection **API covered** Llama Platform API 0.1.0 (OpenAPI 3.1.0)`api.cloud.llamaindex.ai` **Built from** LlamaCloud's documentation, read 23 October 2026[api.cloud.llamaindex.ai](https://api.cloud.llamaindex.ai/api/openapi.json) [developers.llamaindex.ai](https://developers.llamaindex.ai/) **Service file** Version 1.0.0, signed (Ed25519) **Cached reads** 46 of 117 reads, for up to 5 minutes; a write clears what it affects **Shared entities** 4, so ask can line LlamaCloud up with your other systems **Data** Processed and stored in Sydney, Australia. No US region yet Capabilities ## What an AI agent can do in LlamaCloud. 199 actions in 39 areas. Every one carries its effect, so a key can allow the reads and hold the rest. - **117** read look, never change - **48** write create and update - **34** destructive wait for a confirmation 1. ### Pipelines 15 7 read · 5 write · 3 destructive Chat · List Pipelines · Run Search · Search Pipelines 2. ### Extraction agents 10 7 read · 2 write · 1 destructive Generate Extraction Schema · List Extract Agents · List Extraction Agents · Validate Extraction Schema 3. ### Pipeline documents 9 5 read · 3 write · 1 destructive List Pipeline Documents · Paginated List Pipeline Documents · Get Pipeline Document · Get Pipeline Document Status 4. ### Retrievers 9 5 read · 3 write · 1 destructive List Retrievers · Query Retrievers · Retrieve · Direct Retrieve 5. ### Parsing jobs 8 8 read · 0 write · 0 destructive Get Job · Get Parsing Job Details · Generate Presigned Url · Get Job Json Result 6. ### Split jobs 8 4 read · 2 write · 2 destructive List Split Jobs · List Split Jobs · Get Split Job · Get Split Job 7. ### Agent data 7 3 read · 2 write · 2 destructive Aggregate Agent Data · Search Agent Data · Get Agent Data · Create Agent Data 8. ### Extract 7 4 read · 1 write · 2 destructive Generate Extraction Schema · List Extract Jobs · Validate Extraction Schema · Get Extract Job **31 more areas · 126 actions** - Pipeline files **7** - Data sinks **6** - Directory files **6** - Indexes **6** - Parse **6** - Webhook configs **6** - Chat sessions **5** - Classify **5** - Configurations **5** - Data sources **5** - Directories **5** - Extraction jobs **5** - Extraction runs **5** - Files **5** - Pipeline data sources **5** - Verify **5** - Batch processing **4** - Batches **4** - Embedding model configs **4** - Organizations **4** - Projects **4** - Retrieval **4** - File page figures **3** - Attachments **2** - Batch processing items **2** - File page screenshots **2** - Usage metrics **2** - Extraction **1** - Parsing **1** - Pipeline document chunks **1** - Pipeline files metadata **1** Top actions ## The LlamaCloud API, shaped for agents. The ids your agent types, what each does, and the one name it shares with other systems. 12 of LlamaCloud's 12 action names are shared with at least one other connector, so an agent learns them once. | Action | What it does | Effect | Same name in | | --- | --- | --- | --- | | `llamacloud.files.list` List Files | List files with optional filtering and pagination. | read | `content.file.list` 77 connectors | | `llamacloud.directories.list` List Directories | List Directories. | read | `content.folder.list` 62 connectors | | `llamacloud.projects.list` List Projects | List projects in an organization. | read | `work.project.list` 109 connectors | | `llamacloud.files.get` Get File | Get file metadata by ID. | read | `content.file.get` 74 connectors | | `llamacloud.directories.get` Get Directory | Retrieve a directory by its identifier. | read | `content.folder.get` 47 connectors | | `llamacloud.projects.get` Get Project | Get a project by ID. | read | `work.project.get` 106 connectors | | `llamacloud.directories.create` Create Directory | Create a new directory within the specified project. | write | `content.folder.create` 62 connectors | | `llamacloud.directories.update` Update Directory | Update directory metadata. | write | `content.folder.update` 48 connectors | | `llamacloud.files.delete` Delete File | Delete a file from the project. | destructive | `content.file.delete` 68 connectors | | `llamacloud.organizations.list` List Organizations | List organizations the current user can access. | read | `platform.tenant.list` 70 connectors | | `llamacloud.organizations.get` Get Organization | Get an organization by ID. | read | `platform.tenant.get` 86 connectors | | `llamacloud.parse.create` Parse File | Parse a file by file ID or URL. | write | this connector | Try it ## Prompts to paste into Claude. Each one names the LlamaCloud actions it will call, so you know what it reads and what it changes before you send it. 1. Read read Give me a one-line status for every active LlamaCloud project. calls `llamacloud.projects.list` 2. Write write Create Directory in LlamaCloud. Show me exactly what you will send before you save it. calls `llamacloud.directories.create` Governance for LlamaCloud ## Destructive actions wait for a yes. 34 LlamaCloud actions are destructive. The first 10: - Delete File `llamacloud.files.delete` - Delete Directory `llamacloud.directories.delete` - Delete Parse Job `llamacloud.parse.delete` - Delete Extract Job `llamacloud.extract.delete` - Delete Index `llamacloud.indexes.delete` - Delete Classify Job `llamacloud.classify.delete` - Delete Pipeline `llamacloud.pipelines.delete` - Delete Agent Data `llamacloud.agent_data.delete` - Delete Data Sink `llamacloud.data_sinks.delete` - Delete Retriever `llamacloud.retrievers.delete` A destructive action runs only with `confirm: true`. Under the `human` policy the agent cannot confirm for itself: the run stops until a named person approves, in the console or from a signed link in an email. The cap on a key is refused before the call is sent, never after. do llamacloud.files.delete confirm_policy: **human** Delete File? **intent:** the user asked me to delete File run suspended · waiting for a named person · key _llamacloud-agent_ cannot confirm itself In the console, or from an emailed signed link. a key for this connector ``` account { op: "keys.create", name: "llamacloud-agent", allowed_actions: ["llamacloud.*"], cap_calls: 2000, confirm_policy: "human_for_writes", approval_rules: [ { match: "llamacloud.files.delete", approver: "lead@example.com" }, { match: "llamacloud.directories.delete", approver: "lead@example.com" }, { match: "llamacloud.parse.delete", approver: "lead@example.com" } ] } ``` Illustrative. Scoped to LlamaCloud only, capped at 2,000 upstream calls, every write confirmed, and the destructive ones approved by a named person. Cost ## What LlamaCloud costs on actionlake. Every LlamaCloud action is one upstream call, the only thing actionlake bills. Searching, `check`, `cost`, `account` and any call LlamaCloud refused with 401, 403, 429 or a 5xx are free. Paid plans start at US$49 a month for 250,000 calls, with overage from US$0.30 down to US$0.18 per 1,000. - 1 upstream call per action all 199 LlamaCloud actions - 199 actions page each page of a long list is one call - 46 reads can be cached a cache hit costs nothing - 100,000 calls a month, free paid plans from US$49 a month for 250,000 [See pricing](https://actionlake.com/pricing) Action index ## Every LlamaCloud action. 199 actions by area: the id your agent calls, what it does, and its effect. **Pipelines 15** - `llamacloud.pipelines.cancel_sync` Cancel Pipeline Sync destructive - `llamacloud.pipelines.chat` Chat read - `llamacloud.pipelines.copy` Copy Pipeline write - `llamacloud.pipelines.create` Create Pipeline write - `llamacloud.pipelines.delete` Delete Pipeline destructive - `llamacloud.pipelines.force_delete` Force Delete Pipeline destructive - `llamacloud.pipelines.get` Get Pipeline read - `llamacloud.pipelines.get_playground_session` Get Playground Session read - `llamacloud.pipelines.get_status` Get Pipeline Status read - `llamacloud.pipelines.list` List Pipelines read - `llamacloud.pipelines.retrieve` Run Search read - `llamacloud.pipelines.search` Search Pipelines read - `llamacloud.pipelines.sync` Sync Pipeline write - `llamacloud.pipelines.update` Update Existing Pipeline write - `llamacloud.pipelines.upsert` Upsert Pipeline write **Extraction agents 10** - `llamacloud.extraction_agents.create` Create Extraction Agent write - `llamacloud.extraction_agents.delete` Delete Extraction Agent destructive - `llamacloud.extraction_agents.generate_schema` Generate Extraction Schema read - `llamacloud.extraction_agents.get` Get Extraction Agent read - `llamacloud.extraction_agents.get_by_name` Get Extraction Agent By Name read - `llamacloud.extraction_agents.get_default` Get Or Create Default Extraction Agent read - `llamacloud.extraction_agents.list` List Extract Agents read - `llamacloud.extraction_agents.list_v1` List Extraction Agents read - `llamacloud.extraction_agents.update` Update Extraction Agent write - `llamacloud.extraction_agents.validate_schema` Validate Extraction Schema read **Pipeline documents 9** - `llamacloud.pipeline_documents.create_batch` Create Batch Pipeline Documents write - `llamacloud.pipeline_documents.delete` Delete Pipeline Document destructive - `llamacloud.pipeline_documents.get` Get Pipeline Document read - `llamacloud.pipeline_documents.get_status` Get Pipeline Document Status read - `llamacloud.pipeline_documents.get_status_counts` Get Pipeline Document Status Counts read - `llamacloud.pipeline_documents.list` List Pipeline Documents read - `llamacloud.pipeline_documents.list_paginated` Paginated List Pipeline Documents read - `llamacloud.pipeline_documents.sync` Sync Pipeline Document write - `llamacloud.pipeline_documents.upsert_batch` Upsert Batch Pipeline Documents write **Retrievers 9** - `llamacloud.retrievers.create` Create Retriever write - `llamacloud.retrievers.delete` Delete Retriever destructive - `llamacloud.retrievers.get` Get Retriever read - `llamacloud.retrievers.list` List Retrievers read - `llamacloud.retrievers.query` Query Retrievers read - `llamacloud.retrievers.retrieve` Retrieve read - `llamacloud.retrievers.retrieve_direct` Direct Retrieve read - `llamacloud.retrievers.update` Update Retriever write - `llamacloud.retrievers.upsert` Upsert Retriever write **Parsing jobs 8** - `llamacloud.parsing_jobs.get` Get Job read - `llamacloud.parsing_jobs.get_details` Get Parsing Job Details read - `llamacloud.parsing_jobs.get_file_url` Generate Presigned Url read - `llamacloud.parsing_jobs.get_json_result` Get Job Json Result read - `llamacloud.parsing_jobs.get_markdown_result` Get Job Result read - `llamacloud.parsing_jobs.get_parameters` Get Job Parameters read - `llamacloud.parsing_jobs.get_structured_result` Get Job Structured Result read - `llamacloud.parsing_jobs.get_text_result` Get Job Text Result read **Split jobs 8** - `llamacloud.split_jobs.cancel` Cancel Split Job destructive - `llamacloud.split_jobs.create` Create Split Job write - `llamacloud.split_jobs.create_beta` Create Split Job write - `llamacloud.split_jobs.delete` Delete Split Job destructive - `llamacloud.split_jobs.get` Get Split Job read - `llamacloud.split_jobs.get_beta` Get Split Job read - `llamacloud.split_jobs.list` List Split Jobs read - `llamacloud.split_jobs.list_beta` List Split Jobs read **Agent data 7** - `llamacloud.agent_data.aggregate` Aggregate Agent Data read - `llamacloud.agent_data.create` Create Agent Data write - `llamacloud.agent_data.delete` Delete Agent Data destructive - `llamacloud.agent_data.delete_by_query` Delete Agent Data By Query destructive - `llamacloud.agent_data.get` Get Agent Data read - `llamacloud.agent_data.search` Search Agent Data read - `llamacloud.agent_data.update` Update Agent Data write **Extract 7** - `llamacloud.extract.cancel` Cancel Extract Job destructive - `llamacloud.extract.create` Create Extract Job write - `llamacloud.extract.delete` Delete Extract Job destructive - `llamacloud.extract.generate_schema` Generate Extraction Schema read - `llamacloud.extract.get` Get Extract Job read - `llamacloud.extract.list` List Extract Jobs read - `llamacloud.extract.validate_schema` Validate Extraction Schema read **Pipeline files 7** - `llamacloud.pipeline_files.add` Add Files To Pipeline Api write - `llamacloud.pipeline_files.delete` Delete Pipeline File destructive - `llamacloud.pipeline_files.get_status` Get Pipeline File Status read - `llamacloud.pipeline_files.get_status_counts` Get Pipeline File Status Counts read - `llamacloud.pipeline_files.list` List Pipeline Files read - `llamacloud.pipeline_files.list_v1` List Pipeline Files2 read - `llamacloud.pipeline_files.update` Update Pipeline File write **Data sinks 6** - `llamacloud.data_sinks.create` Create Data Sink write - `llamacloud.data_sinks.delete` Delete Data Sink destructive - `llamacloud.data_sinks.get` Get Data Sink read - `llamacloud.data_sinks.list` List Data Sinks read - `llamacloud.data_sinks.list_v1` List Data Sinks read - `llamacloud.data_sinks.update` Update Data Sink write **Directory files 6** - `llamacloud.directory_files.bulk_delete` Bulk Delete Directory Files destructive - `llamacloud.directory_files.create` Add Directory File write - `llamacloud.directory_files.delete` Delete Directory File destructive - `llamacloud.directory_files.get` Get Directory File read - `llamacloud.directory_files.list` List Directory Files read - `llamacloud.directory_files.update` Update Directory File write **Indexes 6** - `llamacloud.indexes.cancel_sync` Cancel Index Sync destructive - `llamacloud.indexes.create` Create Index write - `llamacloud.indexes.delete` Delete Index destructive - `llamacloud.indexes.get` Get Index read - `llamacloud.indexes.list` List Indexes read - `llamacloud.indexes.sync` Sync Index write **Parse 6** - `llamacloud.parse.cancel` Cancel Parse Job destructive - `llamacloud.parse.create` Parse File write - `llamacloud.parse.delete` Delete Parse Job destructive - `llamacloud.parse.get` Get Parse Job read - `llamacloud.parse.list` List Parse Jobs read - `llamacloud.parse.list_versions` List Parse Versions read **Webhook configs 6** - `llamacloud.webhook_configs.create` Create Webhook Config write - `llamacloud.webhook_configs.delete` Delete Webhook Config destructive - `llamacloud.webhook_configs.get` Get Webhook Config read - `llamacloud.webhook_configs.list` List Webhook Configs read - `llamacloud.webhook_configs.query` Query Webhook Configs read - `llamacloud.webhook_configs.update` Update Webhook Config write **Chat sessions 5** - `llamacloud.chat_sessions.create` Create Session write - `llamacloud.chat_sessions.delete` Delete Session destructive - `llamacloud.chat_sessions.get` Get Full Session read - `llamacloud.chat_sessions.get_summary` Get Session Summary read - `llamacloud.chat_sessions.list` List Sessions read **Classify 5** - `llamacloud.classify.cancel` Cancel Classify Job destructive - `llamacloud.classify.create` Create Classify Job write - `llamacloud.classify.delete` Delete Classify Job destructive - `llamacloud.classify.get` Get Classify Job read - `llamacloud.classify.list` List Classify Jobs read **Configurations 5** - `llamacloud.configurations.create` Create Configuration write - `llamacloud.configurations.delete` Delete Configuration destructive - `llamacloud.configurations.get` Get Configuration read - `llamacloud.configurations.list` List Configurations read - `llamacloud.configurations.update` Update Configuration write **Data sources 5** - `llamacloud.data_sources.create` Create Data Source write - `llamacloud.data_sources.delete` Delete Data Source destructive - `llamacloud.data_sources.get` Get Data Source read - `llamacloud.data_sources.list` List Data Sources read - `llamacloud.data_sources.update` Update Data Source write **Directories 5** - `llamacloud.directories.create` Create Directory write - `llamacloud.directories.delete` Delete Directory destructive - `llamacloud.directories.get` Get Directory read - `llamacloud.directories.list` List Directories read - `llamacloud.directories.update` Update Directory write **Extraction jobs 5** - `llamacloud.extraction_jobs.get` Get Job read - `llamacloud.extraction_jobs.get_result` Get Job Result read - `llamacloud.extraction_jobs.list` List Jobs read - `llamacloud.extraction_jobs.run` Run Job write - `llamacloud.extraction_jobs.run_batch` Run Batch Jobs write **Extraction runs 5** - `llamacloud.extraction_runs.delete` Delete Extraction Run destructive - `llamacloud.extraction_runs.get` Get Run read - `llamacloud.extraction_runs.get_by_job` Get Run By Job Id read - `llamacloud.extraction_runs.get_latest_from_ui` Get Latest Run From Ui read - `llamacloud.extraction_runs.list` List Extract Runs read **Files 5** - `llamacloud.files.delete` Delete File destructive - `llamacloud.files.get` Get File read - `llamacloud.files.get_content_url` Read File Content read - `llamacloud.files.list` List Files read - `llamacloud.files.query` Query Files read **Pipeline data sources 5** - `llamacloud.pipeline_data_sources.add` Add Data Sources To Pipeline write - `llamacloud.pipeline_data_sources.get_status` Get Pipeline Data Source Status read - `llamacloud.pipeline_data_sources.list` List Pipeline Data Sources read - `llamacloud.pipeline_data_sources.sync` Sync Pipeline Data Source write - `llamacloud.pipeline_data_sources.update` Update Pipeline Data Source write **Verify 5** - `llamacloud.verify.cancel` Cancel Verify Job destructive - `llamacloud.verify.create` Create Verify Job write - `llamacloud.verify.get` Get Verify Job read - `llamacloud.verify.get_details` Get Verify Job Details read - `llamacloud.verify.list` List Verify Jobs read **Batch processing 4** - `llamacloud.batch_processing.cancel` Cancel Batch Job destructive - `llamacloud.batch_processing.create` Create Batch Job write - `llamacloud.batch_processing.get_status` Get Batch Job Status read - `llamacloud.batch_processing.list` List Batch Jobs read **Batches 4** - `llamacloud.batches.cancel` Cancel Batch destructive - `llamacloud.batches.create` Create Batch write - `llamacloud.batches.get` Get Batch read - `llamacloud.batches.list` List Batches read **Embedding model configs 4** - `llamacloud.embedding_model_configs.create` Create a new Embedding Model Configuration write - `llamacloud.embedding_model_configs.delete` Delete Embedding Model Config destructive - `llamacloud.embedding_model_configs.list` List Embedding Model Configs read - `llamacloud.embedding_model_configs.update` Update Embedding Model Config write **Organizations 4** - `llamacloud.organizations.get` Get Organization read - `llamacloud.organizations.get_v1` Get Organization read - `llamacloud.organizations.list` List Organizations read - `llamacloud.organizations.list_v1` List Organizations read **Projects 4** - `llamacloud.projects.get` Get Project read - `llamacloud.projects.get_v1` Get Project read - `llamacloud.projects.list` List Projects read - `llamacloud.projects.list_v1` List Projects read **Retrieval 4** - `llamacloud.retrieval.find_files` Find Files read - `llamacloud.retrieval.grep_file` Grep File read - `llamacloud.retrieval.read_file` Read File read - `llamacloud.retrieval.retrieve` Retrieve read **File page figures 3** - `llamacloud.file_page_figures.create_presigned_url` Generate File Page Figure Presigned Url read - `llamacloud.file_page_figures.get` List File Page Figures read - `llamacloud.file_page_figures.list` List File Pages Figures read **Attachments 2** - `llamacloud.attachments.get` Get Attachment read - `llamacloud.attachments.list` List Attachments read **Batch processing items 2** - `llamacloud.batch_processing_items.get_processing_results` Get Item Processing Results read - `llamacloud.batch_processing_items.list` List Batch Job Items read **File page screenshots 2** - `llamacloud.file_page_screenshots.create_presigned_url` Generate File Page Screenshot Presigned Url read - `llamacloud.file_page_screenshots.list` List File Page Screenshots read **Usage metrics 2** - `llamacloud.usage_metrics.aggregate` Aggregate Usage Metrics read - `llamacloud.usage_metrics.list` List Usage Metrics read **Extraction 1** - `llamacloud.extraction.run_stateless` Extract Stateless write **Parsing 1** - `llamacloud.parsing.list_supported_file_extensions` Get Supported File Extensions read **Pipeline document chunks 1** - `llamacloud.pipeline_document_chunks.list` List Pipeline Document Chunks read **Pipeline files metadata 1** - `llamacloud.pipeline_files_metadata.delete` Delete Pipeline Files Metadata destructive Questions ## The LlamaCloud MCP server, answered. **Is there a LlamaCloud MCP server for Claude?** Yes. actionlake is an MCP gateway: a remote MCP server that gives Claude, or another MCP client, 199 LlamaCloud actions across pipelines, extraction agents, pipeline documents and retrievers, through the same eight tools it uses for every other connector. actionlake is independent; it is not made or endorsed by LlamaCloud. **What do I need to connect LlamaCloud?** LlamaCloud API key (llx-...). Plus your host. The free call account { op: "connections.requirements", service: "llamacloud" } lists exactly what to paste. **Can an AI agent delete or change things in LlamaCloud?** Only if its key allows it, and only with an explicit confirmation. 34 LlamaCloud actions are destructive, including delete File, delete Directory and delete Parse Job. Each runs only with confirm: true. Under the human confirm policy, or an approval rule on the key, the run waits until a named person approves it. **Will an AI agent use up my LlamaCloud API limit?** actionlake paces every call to the limits in the LlamaCloud service file: 300 calls a minute per connection. Repeated reads are answered from cache (46 LlamaCloud actions can be), which never reaches LlamaCloud. **What does a LlamaCloud action cost?** One upstream call, the only unit actionlake bills. A list that pages bills one call per page (199 LlamaCloud actions page). Cache hits, searches, dry runs and calls LlamaCloud refused with 401, 403, 429 or a 5xx are free. The Free plan includes 100,000 calls a month with no card. Paid plans start at US$49 a month for 250,000 calls, with overage from US$0.30 down to US$0.18 per 1,000. **Which LlamaCloud API does it cover?** The Llama Platform API 0.1.0 (OpenAPI 3.1.0) at api.cloud.llamaindex.ai by default, or the base URL set when you connect. It is built from LlamaCloud's documentation as read on 23 October 2026. 199 actions in 39 areas, each one in the signed service file (version 1.0.0). **Does actionlake keep my LlamaCloud data, and where?** actionlake processes and stores data in Sydney, Australia; there is no US region yet. Reads may be cached for up to 5 minutes, and a write clears the reads it affects. Each run's request and response is kept, sealed, for your plan's trace window: 1 day on Free, 3 days on Starter, 7 days on Pro, 14 days on Team, 30 days on Business and 30 days on Enterprise. Your LlamaCloud credential is sealed under your tenant's key, never logged and never returned. Your traffic is not used to train models. **Which AI clients can use it?** Claude Code, tested by us end to end, and the Claude app as a custom connector, tested by us with an existing key. Other MCP clients that support remote servers over Streamable HTTP (MCP revisions 2025-06-18 and 2025-11-25) and OAuth dynamic client registration, or a bearer header, should connect the same way; we have not tested them. Or plain REST, under the same action names. ## More connectors like LlamaCloud Shares the most action names with - [Cloudinary 6](https://actionlake.com/connectors/cloudinary) - [Cartesia 5](https://actionlake.com/connectors/cartesia) - [Braintrust 4](https://actionlake.com/connectors/braintrust) - [Groq 3](https://actionlake.com/connectors/groq) - [Perplexity 3](https://actionlake.com/connectors/perplexity) - [xAI Grok API 3](https://actionlake.com/connectors/xai-grok-api) Joins with, on shared entities - [Adobe Frame.io (V4) 3](https://actionlake.com/connectors/adobe-frame-io-v4) - [Slack 2](https://actionlake.com/connectors/slack) - [Canvas LMS 2](https://actionlake.com/connectors/canvas-lms) - [Unified.to 2](https://actionlake.com/connectors/unified-to) - [Octopus Deploy 2](https://actionlake.com/connectors/octopus-deploy) - [Teamwork 2](https://actionlake.com/connectors/teamwork) Browse - [All AI connectors](https://actionlake.com/connectors/category/ai) - [All connectors](https://actionlake.com/connectors) - [How actionlake compares](https://actionlake.com/compare) actionlake is independent. It is not made or endorsed by LlamaCloud; the name is the vendor's own. Counts are from the LlamaCloud service file, version 1.0.0. ## Give your agent LlamaCloud today. [Connect LlamaCloud free](https://actionlake.com/console?start=sandbox) [See pricing](https://actionlake.com/pricing) Start free - 100,000 calls/month, no card. No signup. Hard caps on every key. Cached answers are free. --- Source: https://actionlake.com/connectors/llamacloud More: https://actionlake.com/llms.txt