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Identity Verification for AI Agents: Didit's MCP Server

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
1,611
Company Posts That Month
134
Language
English
Hacker News Points
-
Post removed?
No
Summary

The Didit Model Context Protocol (MCP) server, now live at mcp.didit.me, offers a comprehensive suite of 115 identity and fraud tools, including identity verification (KYC), business verification (KYB), Anti-Money Laundering (AML) screening, and transaction monitoring, all accessible via a unified /v3/ API. This open standard enables AI agents to seamlessly connect to external tools without requiring custom integrations, facilitating actions like verifying identities, screening against sanctions, and monitoring transactions in real-time. The server supports any MCP-compatible agent, such as Claude-based assistants and custom LLM agents, and offers 500 free verifications per month with no server charge, though module calls are billed at specified rates. The Didit MCP server enhances compliance and fraud prevention for AI-driven workflows, ensuring that agents can efficiently perform tasks with significant financial, legal, or access-control implications.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
MCP 40 11,091 964 226 -17%
AI Agents 8 7,313 1,587 286 +10%
Multi-agent systems 3 624 211 88 -4%
LLM 2 6,901 1,304 265 -35%
Real-time 2 6,488 1,571 284 -12%
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.