Mikensey MCP Server (sshekar87/mikensey-mcp-server) is an MCP server listed on the M8ven Trust Index. It scores 72 out of 100, grade C. It declares 7 tools. No publisher has claimed this listing.

C
Caution
72/100

Mikensey MCP Server

Provides McKinsey-style strategy intelligence for real estate by enabling AI assistants to search podcast transcripts, access industry benchmarks, and apply consulting frameworks like 2×2 matrices and issue trees to analyze business situations.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

sshekar87

Source: Glama

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Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
7 tools verified — handlers match their declared behaviour
7 read-only tools verified — handlers contain no write/delete/exec
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// tools this server exposes7 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

mikensey_search

Search across all Mike DelPrete podcast transcripts for topics, quotes, metrics, or advice. Use this tool to find what industry leaders have said about specific topics in real estate, mortgage, and proptech. Args: - query (string): Search terms (e.g., "mortgage attach rate", "agent retention", "

mikensey_list_episodes

List all available podcast episodes with guest names, dates, and topics. Use this to browse what's available or find a specific episode. Args: - filter (string, optional): Filter by guest name, topic, or keyword - limit (number): Max results (default: 20) - offset (number): Skip this many re

mikensey_get_episode

Read the full or partial transcript of a specific podcast episode. Use this to deep-dive into a specific conversation. Use mikensey_list_episodes or mikensey_search first to find the episode id. Args: - episode_id (string): Episode slug (e.g., "justin-messer-hand-to-hand-combat-in-mortgage") -

mikensey_get_benchmarks

Look up real estate, mortgage, and proptech industry benchmarks and metrics from podcast conversations. Contains specific numbers cited by industry leaders: attach rates, origination costs, agent productivity, growth rates, conversion rates, and more. Args: - query (string, optional): Filter ben

mikensey_get_frameworks

Browse two categories of frameworks available in Mikensey: 1. **Industry Frameworks** — Mental models extracted from podcast conversations (e.g., 3-Lever Consumer Value Model, Brokerage Pretzel, Agent Value Equation, W-H-Y mortgage sales) 2. **Consulting Frameworks** — McKinsey-style analytical too

mikensey_analyze

Apply a McKinsey-style consulting framework to a business problem using real estate industry data. This is Mikensey's signature tool. It doesn't just search transcripts — it THINKS like a consultant. Choose a framework, describe your situation, and get a structured strategic analysis backed by real

mikensey_get_advice

Get a McKinsey-style strategy brief structured as Situation-Complication-Resolution (SCR), grounded in real industry data from 53 podcast episodes. This is the executive-ready output tool. It generates a complete strategy memo using the SCR framework: - SITUATION: Undeniable facts about the current

// known CVEs in dependencies2 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.6.1GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.6.1GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configMIKENSEY_TRANSCRIPT_DIR"": "/path/to/your/transcript-files"
// quality suggestions

Tool handlers catch errors

Only 0/7 tool handlers wrap calls in try/catch (0%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

Production dependencies are patched

0 critical, 2 high severity in production deps — @modelcontextprotocol/sdk@1.6.1 (high), @modelcontextprotocol/sdk@1.6.1 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: 9778d1e5134ef9bb2f3a2eb780f98f3753f3e28c
code hash: 6e5053987f27e952ce22617787119084aedc8cc86107b34559b317755d787352
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