MCP server

Dpf-it Official

com.dpf-it/mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

AI-powered data integration platform. Onboard users and run DPF data workflows.

At a glance

Type

MCP server

Publisher

dpf-it.com (verified by the MCP Registry)

Status

Working at last check

Tools

18

Token cost

About 11,779 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http dpf-it https://api.dpf-it.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.dpf-it]
url = "https://api.dpf-it.com/mcp"

Gemini CLI

{"mcpServers":{"dpf-it":{"httpUrl":"https://api.dpf-it.com/mcp"}}}

Cursor

{"mcpServers":{"dpf-it":{"url":"https://api.dpf-it.com/mcp"}}}

VS Code

{"servers":{"dpf-it":{"type":"http","url":"https://api.dpf-it.com/mcp"}}}

Antigravity

agy mcp add dpf-it https://api.dpf-it.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"dpf-it","server_url":"https://api.dpf-it.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"dpf-it","server_url":"https://api.dpf-it.com/mcp"}

Tools

• call_dpf_api ~783 tokens
  Escape hatch for DPF capabilities that don't have a dedicated tool yet. ALWAYS prefer a dedicated tool when one exists — get_status, list_data, submit_query, delete_data_spec, onboard_data_source, update_data_spec, run_data_job, manage_connection, manage_trigger, setup_scheduled_pull, list_my_worksp
• contact Sends messages · ~210 tokens
  Send a message to the DPF team — request a demo, ask about licensing, report an issue, or request a feature. No authentication required. Always ask the user for their email if they have not already given it in this conversation.
• create_workspace ~123 tokens
  Create a new workspace, owned by the authenticated user. Use this if list_my_workspaces returns none.
• delete_data_spec Deletes data · ~133 tokens
  Permanently delete a data spec and its associated configuration.
• finish_data_job ~234 tokens
  Call after uploading the file(s) returned by run_data_job — starts processing and waits until the job completes or fails. If it returns before that (timedOut: true), do NOT call this tool again just to keep checking — that re-attempts starting the job. Poll with get_status (jobId) instead until it r
• finish_data_source_onboarding ~424 tokens
  Call ONLY after the file(s) returned by onboard_data_source have actually been uploaded (each PUT returned HTTP 200) — kicks off AI analysis and waits until the spec reaches "ready" or "failed". This tool verifies the upload against storage before starting anything. If a file is not there it refuse
• finish_data_spec_update ~485 tokens
  Call ONLY after the file(s) returned by update_data_spec have actually been uploaded (each PUT returned HTTP 200) — kicks off AI analysis and waits until the spec reaches "ready" or "failed". The upload is verified against storage first: if a file is missing this refuses, spends no credits, and hand
• get_status ~286 tokens
  Poll the status of either a data spec's own process (schema inference + code generation, run by start-analysis — pass specId, reaches "ready" or "failed") or a data-load job (pass jobId, reaches "complete" or "failed"). Pass exactly one of specId or jobId. Right after create-spec/update-spec + start
• list_data ~565 tokens
  List either the data specs (parsing + mapping rule sets, resource: "specs") or the data processing jobs (executions of a spec, resource: "jobs") defined in a workspace. Each spec includes its specId and current status — poll a specific one with get_status. Both resources are paginated (default 25/pa
• list_my_workspaces ~69 tokens
  List every workspace the authenticated user has access to, including their permission on each.
• manage_account ~524 tokens
  Returns instructions for creating a DPF account, verifying its email, resending the verification code, or resetting a forgotten password — it never performs these itself and never asks for a password. A password typed into this chat would sit in the conversation transcript, so every action instead r
• manage_connection ~521 tokens
  Create, list, test, or delete a workspace connection to an external data source. Two types are supported: "sftp" and "aws_s3". For sftp, create generates a keypair and returns the public key — it must be installed in the remote server's authorized_keys before test (or a trigger using this connection
• manage_trigger ~1693 tokens
  Create, list, update, delete, or fire a workspace job trigger. Four types: - "sftp"/"aws_s3": pulls files from a connection (sftp: remote server; aws_s3: S3 bucket/prefix) into an already-analyzed data spec on a schedule (hourly/daily/monthly, UTC). Type must match the connection's type; aws_s3 also
• onboard_data_source ~2223 tokens
  First step of setting up a new data integration: creates a data spec. By default (sourceType "file") this returns presigned upload URL(s) for the sample file (and optional format/target-schema file). Creating the spec does NOT upload anything: you must PUT each file to its URL yourself (or have the
• run_data_job ~390 tokens
  First step of processing new data files through an already-configured data spec: creates a job and returns presigned upload URL(s) for each file. Upload the file(s) per the returned instructions, then call finish_data_job with the returned jobId to start processing and wait for it to complete. Do N
• setup_scheduled_pull ~916 tokens
  End-to-end workflow for "pull files from this SFTP server / S3 bucket on a schedule" requests: reuses a matching connection if one already exists in the workspace (same hostname/username for sftp, same roleArn for aws_s3), otherwise creates one; tests it; then creates a trigger that feeds an already
• submit_query ~554 tokens
  Run a SQL query against the Iceberg tables loaded into a workspace. To list the tables that actually exist in the workspace, run `SHOW TABLES` — this is the authoritative source (unlike list_data's specs, which describe pipelines, not live tables). Qualified table references (catalog/schema prefixes
• update_data_spec ~1646 tokens
  Change an existing data spec's configuration. If no replacement file names are given, this runs synchronously (no upload needed): saves changes and — by default — re-runs AI analysis, returning the final status directly. If a replacement sample/format/target-schema file name IS given, this instead r

Browse

• Website monitoring
• File storage
• Email
• Databases

Related MCP servers

• Alter Onboarding
  Guide developers from setup through a verified, policy-aware, audited Alter API call.
• ExpenseBot
  Receipt ingestion, Gmail capture, expense analysis, and reviewed reports for AI-agent workflows.
• GuruHotel
  GuruHotel product knowledge: direct booking platform for hotels, PMS compatibility and pricing.
• Storyflo
  Curated audio news, daily briefings, the Declassified library + market-linked signals.
• Flamel Public Content
  Read-only MCP server for Flamel.ai's public content: company overview, blog, case studies, FAQs.
• Spendline
  Enforce AI budgets before the model call and track cost per customer across 10 providers.
• Offline Protocol (hosted)
  Offline Protocol packages, workflows and integration guides over HTTPS. Read-only.
• Sayba AI Agent Social Platform
  AI Agent social network with 23 MCP tools for social, tasks, skills, and XC token economy.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/com.dpf-it/mcp-server.svg)](https://aptlynx.net/servers/com.dpf-it/mcp-server)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents