If your organization is deploying AI agents that connect to external tools and services, you’re using MCP servers — and you probably haven’t audited every one of them. This guide walks through using Manifold’s free Manifest platform to assess the security posture of your MCP server stack before production deployment.

Manifold expanded Manifest on May 12, 2026 to cover 7,700+ MCP servers from the official MCP Registry. The scoring is free, available now, and provides the starting point for any serious MCP security review.

Before You Start: Build Your MCP Server Inventory

You can’t audit what you don’t know you have. Before opening Manifest, collect a list of every MCP server your agents are configured to connect to. This typically means:

  1. Reviewing agent configuration files for registered MCP servers
  2. Checking your agent orchestration platform’s connection logs for active MCP endpoints
  3. Surveying developers and teams who’ve deployed agents about which servers they’re using

For many organizations, this inventory step will be the first time a complete list exists. That’s the baseline.

Step 1: Access Manifold Manifest

Navigate to manifest.manifold.security. The free tier requires no account creation for browsing — you can search and view scores for any MCP server in the index immediately.

The index covers all servers registered in the official MCP Registry. If you’re using a private or internally-hosted MCP server, it won’t be in the index. Treat unlisted servers as unscored and review them manually.

Step 2: Search for Each Server in Your Inventory

Use the search interface to find each MCP server from your inventory. You can search by:

  • Server name (as it appears in the MCP Registry)
  • Publisher name
  • Functionality category

For each server you find, you’ll see three key numbers:

  • Manifest Score: The composite risk rating (higher = more trustworthy)
  • Lineage Score: Publisher trust rating
  • Safety Score: Content and behavior risk rating

Step 3: Understand What Each Score Means

Reading the Lineage Score

The Lineage Score reflects the trustworthiness of who built the server. Key signals that drive this score include:

  • Publisher verification: Is the publisher a verified organization or an anonymous account?
  • Repository age: Has this codebase existed long enough to have a track record?
  • Commit patterns: Is the repository actively maintained, or was it published once and abandoned?
  • Publisher history: Does this publisher have other reputable assets in the ecosystem?

Low Lineage Scores don’t necessarily mean a server is malicious — they may simply reflect a new project from a legitimate developer. But they’re a signal to do manual review before connecting production agents.

Reading the Safety Score

The Safety Score reflects what the server does and whether its implementation is consistent with its declared purpose. Key risk signals include:

  • Prompt injection indicators: Instructions embedded in server responses that could redirect agent behavior away from the user’s intent
  • Coercive instructions: Server-side instructions that attempt to override agent guidelines or safety behaviors
  • Interface contradictions: Mismatches between what a server’s documentation says it does and what its actual implementation does

Low Safety Scores are higher-priority concerns than low Lineage Scores. A prompt injection vulnerability in an MCP server means every agent connecting to it is potentially exploitable.

Step 4: Prioritize Your Review Queue

After scoring your full inventory, sort by risk priority:

Immediate review (do before connecting production agents):

  • Any server with a low Safety Score — prompt injection and coercive instruction risks are active threats
  • Servers with access to sensitive data (customer data, proprietary IP, authentication credentials)

Scheduled review (within your next sprint):

  • Servers with low Lineage Scores but acceptable Safety Scores — establish a manual code review process
  • Servers with moderate composite scores used in high-stakes agent workflows

Monitor (acceptable for now, review quarterly):

  • High-scoring servers on stable, well-maintained codebases from verified publishers

Step 5: Act on the Results

For each flagged server, your options are:

  • Substitute: Find an alternative MCP server with a better score for the same functionality
  • Isolate: Run the agent workflow using the flagged server in a sandboxed environment with restricted permissions
  • Defer: Remove the server from your production agent stack until you’ve completed manual review
  • Accept risk: Document the risk, compensating controls, and the decision for audit purposes

The worst option is leaving flagged servers connected to production agents without any mitigation or documentation.

Step 6: Set Up Ongoing Monitoring (Enterprise)

The free Manifest tier gives you a snapshot. MCP servers are updated — and a server that scored clean today may receive an update that introduces risk.

Manifold’s enterprise tier adds runtime monitoring that tracks servers as they’re updated and alerts when score changes exceed defined thresholds. For organizations running production agents at scale, this continuous monitoring is important because it removes the dependency on periodic manual re-audits.

Refer to Manifold Security’s official documentation for current enterprise tier features and pricing.

Important Limitations to Understand

  • The index covers public MCP Registry servers only. Private servers, internal servers, and servers not registered in the official MCP Registry will not appear in Manifest. These require separate manual review.
  • Scores are automated assessments, not security certifications. A high score means the automated analysis found no risk signals — it doesn’t guarantee the server is safe. Use scores to prioritize review, not to replace it.
  • Scores reflect the server at the time of last analysis. If you’re making a deployment decision about a specific server, verify the score reflects the current version.

A Starting Checklist

Before deploying AI agents that connect to external MCP servers:

  • Complete inventory of all MCP servers your agents connect to
  • Check each server’s Manifest Score at manifest.manifold.security
  • Flag all servers with low Safety Scores for immediate review
  • Document your assessment and decisions for each server
  • Establish a review cadence for servers you’ve accepted
  • Consider enterprise runtime monitoring for production agent environments

Sources

  1. Manifold Manifest — Free MCP Server Scoring
  2. Manifold Security Blog — May 2026 Expansion Announcement
  3. SiliconAngle — Manifold Scores 7,700 MCP Servers

Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260512-2000

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