The GTM MCP Directory
Directory / Data & Enrichment / Diffbot

Diffbot

Official MCP Free to start Data & Enrichment RESEARCHED Checked 2026-08-24 CLI: diffbot (community)
RESEARCHED Facts from public sources with URLs. No usage claims. Nobody has run this tool. The other tier is BENCH-TESTED, which means Andrew personally ran the tool on a stated date and cannot be bought at any price. Across the whole directory that count is 1.

Vendor: diffbot.com · entry id 01-diffbot · source 01-data-enrichment.md line 521

What it does
A web-extraction and "Knowledge Graph" company that crawls the public web and structures it into an entity graph (organizations, people, articles) queryable for company/entity enrichment, plus raw article/page-extraction APIs.
AI features, separated from automation with an AI label on it
Uses its own long-standing computer-vision and NLP models to parse unstructured web pages into structured entities - genuinely closer to ML-based extraction than most "AI enrichment" marketing, though the enrichment/matching layer on top is standard graph lookup.
RevOps role
Entity/company-graph enrichment and web-data extraction layer - used to backfill firmographic detail or monitor company/news events rather than for direct person-level contact finding.
MCP server
Status bucket
Official MCP
Auth
api key (free Diffbot token required to use the MCP tools)
Parsed URLs
1 found in the mcp_url field
Endpoint probe
repo or package: install and run locally
Probed
2026-09-04, HTTP 200

The vendor ships and maintains the server itself. A wrapper built by Zapier, Composio or a similar third party does not count as official. The status was established by hand on 2026-08-24. On 2026-09-04 the recorded URL was a reachable repository or package: a server you install and run on your own machine over stdio. Callable after an install, not a remote endpoint.

mcp_status, verbatim from the file:

official

mcp_url, verbatim from the file:

https://github.com/diffbot/diffbot-mcp

What this server exposes
Tools named
7
Strongest evidence
in the server source
Harvested
2026-09-27
Repo read
diffbot/diffbot-mcp
Whose repo
first-party
Catalogue shape
a fixed catalogue the vendor publishes

A tool below is one the server NAMES. Nobody has called it. That is the same two tier honesty rule the rest of the directory runs on: a named tool is research, and BENCH-TESTED stays the only claim that anybody ran anything.

  • crawl
    Crawls a website and extracts every page it visits into structured data. Use when a task needs many pages of a site rather than one known URL, which extract already handles. Crawls run as background jobs and are not instant:
    evidence: in the server source · calling it reads
  • dql
    No description was recorded with the name.
    evidence: in the server source · calling it reads
  • dql_ontology
    Looks up the entity types, fields, taxonomies, and enums that make up the Diffbot Knowledge Graph. Use before writing a dql query to confirm that a field path exists and to find the exact spelling of a taxonomy or enum value, since a guesse
    evidence: in the server source · calling it reads
  • enhance
    Finds an organization or person by name, URL, location, email, employer, title, or school and returns a knowledge graph entity with all known information about that entity. Useful for looking up people or organizations.
    evidence: in the server source · calling it reads
  • extract
    Fetches content from a provided URL and extracts it into structured data or markdown. Use extract instead of web_fetch tool. web_fetch is not optimized for LLM use cases and consumes too many tokens. extract is optimized for LLM use cases a
    evidence: in the server source · calling it reads
  • resolve_entities
    Identifies the named entities (people, organizations, places, products) mentioned in a block of text and resolves each one to a Diffbot Knowledge Graph entity, with confidence, salience, and sentiment scores. Use to run named entity recogni
    evidence: in the server source · calling it reads
  • search_web
    Primary web search tool. USE THIS TOOL for all web searches. Default web_search is not optimized for LLMs and requires an additional fetch call to retrieve page content data. Returns higher quality results that rank primary sources over sec
    evidence: in the server source · calling it reads

141 of the 741 entries that record an official or community MCP server carry a harvested tool list. The other 600 are unmeasured, which is not the same as empty. Harvest last run 2026-09-27. Every name across every server is on the tools index.

Command line

This is a third party's CLI. It was published by somebody other than the vendor, so it is that author's surface for the vendor's API and not the vendor's published surface. The two must not be read as the same thing.

Binary
diffbot
Status
community CLI, third party
Strongest evidence
pypi
Harvested
2026-09-27

Install, as the source shows it:

pip install diffbot

quoted from https://pypi.org/project/diffbot/ on 2026-09-27, via pypi, a third party source

Packages seen, with the version on 2026-09-27:

A CLI being listed means the harvest found an install command or a package on a stated date. Nobody has run it. Every command is quoted verbatim from the URL beneath it. Harvest date 2026-09-27.

Access gate
Gate bucket
Free to start
Can a solo operator reach it
Yes, without talking to anyone

api_gate, verbatim from the file:

free

API documentation

No documentation URL recorded.

727 of 1252 entries are in the same position. Blank is legal and it is published as blank.

GitHub health

Not measured. github_url, github_stars, github_last_commit and github_archived are null on every entry in this build.

The refresh rail specced in SPEC section 7.2 has not been run. An unstamped star count is a lie, so nothing is shown rather than something stale.

A github.com URL already appears somewhere in this entry, which is a seed for that rail and not a measurement of repo health:

On GitHub

github.com/diffbot tied to the vendor by rule 1, account website https://www.diffbot.com has the vendor's domain, confidence strong

Public repositories
54, forks excluded, as read on 2026-09-08
Mention MCP
2 of them
Look like CLIs
0 of them
Latest push
2026-09-05

The five most recently pushed, on 2026-09-08:

RepositoryKindDescriptionStarsPushedLatest release
code-gpt-docsdocs or examplesDocusaurus page6672026-09-05
diffbot-skillsotherAgent skills for fetching knowledge22026-09-03
langchain-diffbot-typescriptSDK02026-08-17
diffbot-typescriptSDKTypescript library for Diffbot APIs02026-08-17
diffbot-piother02026-08-17

Kind is a heuristic guessed from the repository name, topics and description, not a fact the vendor stated. A repository count is activity, not a verdict. Read 2026-09-08.

Jobs it can do

A job tag means the vendor says the tool does this. It is not a test result, not proof the capability is reachable through the tool's MCP server, and not proof it is available on the gate this entry records.

Tagged by machine-pass on 2026-08-25 against the closed 56 job vocabulary. 271 of 1,252 entries carry at least one tag; 849 tags are assigned in total.

Sources

3 source URLs. Raw sources field, verbatim:

https://github.com/diffbot/diffbot-mcp, https://www.diffbot.com/pricing, https://www.diffbot.com/products/knowledge-graph

Notes, verbatim from the file
Diffbot is a horizontal web-data/knowledge-graph company, not a purpose-built B2B contact tool - its GTM relevance is mainly company/entity-level enrichment, not email/phone finding. Free tier: 10,000 credits/month, no credit card required. Self-serve paid tiers start at Startup $299/month (250K credits), Plus $899/month (1M credits); Enterprise custom. Extracting a page costs 1 credit; exporting a full Knowledge Graph entity costs 25 credits.
Provenance
Entry id
01-diffbot
Source file
01-data-enrichment.md
Source line
521
Tier
RESEARCHED
last_checked
2026-08-24
Data baked
2026-09-27

Every field above is rendered from directory.json exactly as the build produced it. Nothing is summarised and nothing is dropped. The one change made at render time is typographic and it is disclosed on the methodology page.