# com.dpf-it/mcp-server

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

- **Type:** MCP server
- **Trust:** 60/100 (B), scored on the content rubric
- **Verification:** community-indexed — nobody has claimed this listing
- **Version:** 1.0.0
- **Author:** com.dpf-it
- **License:** Unknown
- **Endpoints:** streamable-http https://api.dpf-it.com/mcp
- **Source:** https://api.dpf-it.com/mcp
- **Endpoint health:** reachable (last checked 2026-09-17T17:16:33.230Z, 4 samples) — uptime is not a security property and is not part of the trust score
- **Compatible clients:** claude-code, cursor, copilot, chatgpt, gemini (basis: transport)

## Trust

60/100 (B), scored on the content rubric
- Publisher verified: no
- Install scripts: nothing suspicious found
- Prompt-injection scan: clean
- Obfuscation scan: clean
- Evidence age: 1 day

## Security scan

- **Status:** clean
- **Scanned:** 2026-09-17T17:16:33.230Z
- **Version scanned:** live
- **CVEs:** no coverage — this entry has no package coordinates to query OSV against, so "no known CVEs" is NOT asserted for it.
**Findings**
- injection-shaped content (note) in the `call_dpf_api` tool: Links to undeclared domain: dpf-it.com

## Tools

18 declared. Observed from a live `tools/list` probe.
- `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 wo
- `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 
- `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 aut
- `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 keyp
- `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 buc
- `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 (a
- `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 bef
- `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
- `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
- `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 fil
- `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: 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 workspa
- `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, de
- `manage_account` — Returns instructions for creating a DPF account, verifying its email, resending the verification code, or resetting a forgotten password — it never performs the
- `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

## Install

**Verdict: review** — Installable, but 2 things to check first: No CVE coverage: this entry has no npm/PyPI coordinates to query OSV against, so "no known vulnerabilities" is not a claim that can be made about it.
**Cautions** (coverage gaps and advisories — never blocking)
- No CVE coverage: this entry has no npm/PyPI coordinates to query OSV against, so "no known vulnerabilities" is not a claim that can be made about it.
- No publisher has proved control of this listing; it is indexed, not vouched for.
**Config** (claude-code):
```json
"{\n  \"mcpServers\": {\n    \"mcp-server\": {\n      \"type\": \"http\",\n      \"url\": \"https://api.dpf-it.com/mcp\"\n    }\n  }\n}"
```

## Blast radius

Moderate to extensive — no credential declaration found, from the publisher, the upstream registry, or the README. Known so far: deletes data; runs on someone else's infrastructure.
- Floor 32, ceiling 56 (tier: unknown)
- `unknown` means the floor and ceiling land in different bands — not measured enough to name one. It does not mean low.
- This is impact, not likelihood. A high radius is not a defect: a filesystem server is supposed to write files. It is never part of the trust score.

## Machine-readable views of this entry

- Signed JSON: https://forgeregistry.com/api/v1/packages/com.dpf-it%2Fmcp-server
- Install plan: https://forgeregistry.com/api/v1/packages/com.dpf-it%2Fmcp-server/install-plan
- Alternatives: https://forgeregistry.com/api/v1/alternatives/com.dpf-it%2Fmcp-server
- HTML page: https://forgeregistry.com/registry/com.dpf-it%2Fmcp-server
- MCP: POST https://forgeregistry.com/api/mcp → `forge_get_package` / `forge_install_plan`

## About this document

Generated by Forge (https://forgeregistry.com) — a compact rendering of the same record served, signed, at the JSON URL above. Trust and scan facts are the registry's own measurements; anything Forge did not measure is named as unmeasured rather than omitted.
