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agentseal-mcp-intel

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by getagentseal

agentseal-mcp-intel

Security scanner for MCP servers. Check any MCP server for supply-chain threats before you install it -- directly from Claude, Cursor, or Windsurf.


The problem

MCP servers can read your files, run commands, and call APIs on your behalf. Before you install one, you should know:

  • Does it exfiltrate data to external servers?

  • Does it contain prompt injection or jailbreak payloads?

  • Does it request excessive permissions?

  • Has it been independently tested?

Most people install MCP servers blindly. This tool changes that.

What it does

agentseal-mcp-intel connects your AI assistant to the AgentSeal security registry -- 3,400+ MCP servers each tested with 265+ adversarial security probes. Your assistant can look up any server, scan your environment, and flag risks before you install anything.


Quick start

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "agentseal": {
      "command": "npx",
      "args": ["-y", "agentseal-mcp-intel"]
    }
  }
}

Cursor

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "agentseal": {
      "command": "npx",
      "args": ["-y", "agentseal-mcp-intel"]
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "agentseal": {
      "command": "npx",
      "args": ["-y", "agentseal-mcp-intel"]
    }
  }
}

Restart your AI tool. That's it.


Tools

Tool

What it does

Network

search_registry

Find safe MCP servers by use case

API call

check_server

Check a specific server's security score before installing

API call

check_environment

Scan all servers installed in your AI tools

API call (names only)

check_file

Analyze an AI config file for hidden threats

100% local

submit_server

Submit an unknown server for scanning

API call


search_registry

Find MCP servers by what you need. Results include trust scores so you can pick a safe option.

"Find me a PostgreSQL MCP server"
"Search for web scraping MCP servers with a score above 70"

Parameter

Type

Required

Description

query

string

Yes

What you need, e.g. "PostgreSQL", "web scraping", "send email"

category

string

No

Filter by category

safe_only

boolean

No

Only return servers scoring 70+

limit

number

No

Max results (default: 10, max: 20)


check_server

Check the security of a specific MCP server before installing it. Accepts package names, slugs, or GitHub URLs.

"Is @modelcontextprotocol/server-github safe?"
"Check the security of https://github.com/crystaldba/postgres-mcp"
"Check mcp-server-postgres before I install it"

Returns:

  • Trust score (0-100) with risk level

  • Score breakdown across 5 dimensions (description safety, schema safety, capability risk, auth & permissions, stability)

  • Security findings with severity ratings

  • Install links and metadata

Risk level

Score

Meaning

EXCELLENT

85-100

No significant issues found

HIGH

70-84

Minor issues, generally safe

MEDIUM

50-69

Review findings before installing

LOW

30-49

Significant concerns, use with caution

CRITICAL

0-29

Do not install


check_environment

Scan all MCP servers currently installed in Claude Desktop, Cursor, and Windsurf. Checks each one against the registry and groups results by risk level.

"Scan my installed MCP servers for security issues"
"Check my Cursor MCP setup"

Parameter

Type

Required

Description

scope

string

No

Which tool to scan: all (default), claude, cursor, windsurf

dry_run

boolean

No

Preview what would be scanned without making API calls

Privacy: Only server names are sent to the API. Config file paths, environment variables, API keys, and credentials never leave your machine.


check_file

Analyze an AI config file for hidden security threats. Runs entirely locally -- zero data is sent anywhere.

"Check my .cursorrules file for threats"
"Scan CLAUDE.md for prompt injection"

Detects:

  • Prompt injection and jailbreak patterns

  • Invisible Unicode characters (zero-width joiners, Unicode tags, BiDi overrides)

  • Data exfiltration instructions (URL variable interpolation, fetch + secrets)

  • Base64-encoded payloads

  • Unsafe auto-approve permissions

Supported files

.cursorrules / .cursor/rules

CLAUDE.md / .claude/

.github/copilot-instructions.md

.windsurfrules

.mcp.json / claude_desktop_config.json

check_file only accepts known AI config file patterns. Requests for arbitrary files (e.g. /etc/passwd, ~/.ssh/id_rsa) are rejected.


submit_server

Submit an MCP server that's not in the registry for security scanning. AgentSeal fetches it, runs 265+ probes, and publishes results.

"Submit mcp-server-postgres for scanning"
"Scan https://github.com/org/repo and add it to the registry"

Parameter

Type

Required

Description

name

string

Yes

Package name or GitHub URL

package_type

string

Yes

npm, pypi, remote, or docker

confirmed

boolean

Yes

Must be true to submit. Use false to preview.

Requires explicit confirmation. Your AI assistant cannot submit servers without you approving it first.


Example session

You:  Check if the GitHub MCP server is safe to install.

Claude: [calls check_server("@modelcontextprotocol/server-github")]

      [AgentSeal] server-github  ~ HIGH -- 82/100
      ████████████████░░░░  82/100
      TypeScript . MIT . 18 tools . by modelcontextprotocol

      SCORE BREAKDOWN
        Desc Safety      ▪▪▪▪▪▪▪▪▪▪  95
        Schema Safety    ▪▪▪▪▪▪▪▪··  80
        Capability       ▪▪▪▪▪▪▪···  72
        Auth & Perms     ▪▪▪▪▪▪▪▪··  78
        Stability        ▪▪▪▪▪▪▪▪▪▪  100

      FINDINGS
        0 critical . 1 high . 1 medium

You:  Scan all my installed MCP servers.

Claude: [calls check_environment()]

      ENVIRONMENT SCAN -- 4 servers across 2 config files

      SAFE
        server-github          82/100  HIGH
        server-filesystem      78/100  HIGH

      REVIEW
        mcp-server-browserbase 54/100  MEDIUM  (1 finding)

      UNKNOWN
        some-custom-mcp        NOT IN REGISTRY

      ACTION REQUIRED
        Run check_server("some-custom-mcp") or submit it for scanning.

Privacy and data handling

Action

What is read locally

What is sent to agentseal.org

What stays on your machine

search_registry

Nothing

Search query

--

check_server

Nothing

Server name/slug

--

check_environment

AI tool config files

Server names only

File paths, env vars, API keys, all config values

check_file

The specified config file

Nothing

Full file contents

submit_server

Nothing

Package name + type

--

  • No telemetry. No usage tracking, no analytics, no background network calls.

  • Credentials never leave your machine. Config parsing extracts only server names.

  • check_file is 100% local. File contents are never transmitted.

  • External content is isolated. API responses are wrapped in <agentseal:external> delimiters so your AI assistant treats them as data, not instructions.

  • Source code is fully auditable. You're looking at it.


Configuration

Environment variable

Default

Description

AGENTSEAL_API_KEY

--

Pro API key for unlimited access and full findings detail

AGENTSEAL_API_URL

https://agentseal.org

Override API base URL

AGENTSEAL_DEBUG

0

Set to 1 for debug logs on stderr

MCP_CONFIG_PATH

--

Extra config file path for check_environment (useful in CI)

Free vs Pro

Free

Pro

Requests

50/day

Unlimited

Trust scores

Yes

Yes

Finding counts

Yes

Yes

Finding details (evidence, remediation)

--

Yes

Priority scanning

--

Yes

Get a Pro key at agentseal.org/pricing.


Requirements

  • Node.js 18 or later

  • An MCP-compatible host: Claude Desktop, Cursor, Windsurf, or any MCP client


Development

git clone https://github.com/agentseal/agentseal-mcp-intel.git
cd agentseal-mcp-intel
npm install
npm run build
npm test          # 133 tests
npm run typecheck # strict TypeScript

How it works

Your AI assistant                agentseal-mcp-intel               AgentSeal API
     |                                  |                               |
     |-- "check postgres-mcp" --------->|                               |
     |                                  |-- GET /api/v1/mcp/intel/... ->|
     |                                  |<-- trust score + findings ----|
     |<-- formatted security report ----|                               |
     |                                  |                               |
     |-- "scan my .cursorrules" ------->|                               |
     |                                  |-- [local analysis only]       |
     |<-- findings (no network call) ---|                               |

The MCP server is a thin, auditable client. All scoring intelligence lives in the AgentSeal API. Local analysis (check_file) runs entirely on your machine with zero network calls.


Security

If you find a security vulnerability, please email hello@agentseal.org instead of opening a public issue.


License

FSL-1.1-Apache-2.0 -- Functional Source License 1.1.

You may use and modify this software, but you cannot offer it as a competing commercial service. After 4 years, the license converts to Apache 2.0. The AgentSeal registry, probe suite, and scoring engine are proprietary. See fsl.software for details.

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