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Didit MCP Server Guide Hub — Every Identity & Fraud Guide in One Place

Blog post from Didit

Aggregate trend data notice

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

Post Details
Company
Date Published
Author
Didit
Word Count
920
Company Posts That Month
20
Language
English
Hacker News Points
-
Post removed?
No
Summary

The Didit Model Context Protocol (MCP) server offers AI agents access to a comprehensive suite of 115 tools across 19 domains for identity verification, fraud detection, and compliance checks, all available through a hosted Streamable HTTP endpoint with OAuth 2.1 authentication. This curated index serves as a navigational hub for the Didit MCP server content, guiding users to specific resources such as tools references, marketing pages, and detailed use-case guides for compliance workflows like KYC, KYB, AML screening, transaction monitoring, and crypto compliance. The platform is free with a 500-verifications-per-month tier, while additional services are priced per verification. The page emphasizes ease of integration with platforms like Claude, Cursor, VS Code, and ChatGPT, providing deep links and documentation for seamless setup. The server's public repository is available on GitHub, and the server architecture allows LLMs to function as compliance-operations agents, with the potential for high ROI in strategic use cases.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
MCP 34 1,562 186 99 -80%
AI Agents 4 1,180 266 113 -80%
LLM 4 1,189 251 109 -83%
Real-time 3 1,106 270 109 -81%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.