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MCP live MCP 2025-11-25 streamable-http

com.dpf-it/mcp-server

com.dpf-it/mcp-server

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

Uptime
—
no direct probes in 30d
Response
1738ms
last probe
Tools
18
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://api.dpf-it.com/mcp

Tools · 18

list_my_workspaces

List every workspace the authenticated user has access to, including their permission on each.

create_workspace

Create a new workspace, owned by the authenticated user. Use this if list_my_workspaces returns none.

list_data

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 a…

get_status

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 "comp…

delete_data_spec

Permanently delete a data spec and its associated configuration.

submit_query

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 sp…

manage_connection

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…

manage_trigger

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 dat…

onboard_data_source

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) —…

finish_data_source_onboarding

Call after uploading the file(s) returned by onboard_data_source — kicks off AI analysis and waits until the spec reaches "ready" or "failed". If it returns before that (timedOut: true), do NOT call t…

update_data_spec

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 fi…

finish_data_spec_update

Call after uploading the file(s) returned by update_data_spec — kicks off AI analysis and waits until the spec reaches "ready" or "failed". If it returns before that (timedOut: true), do NOT call this…

run_data_job

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…

finish_data_job

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 t…

setup_scheduled_pull

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, sam…

call_dpf_api

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, upd…

manage_account

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.…

contact

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 gi…

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "com.dpf-it/mcp-server": {
      "url": "https://api.dpf-it.com/mcp",
      "transport": "streamable-http"
    }
  }
}