Back to MCP Trust Indexm8ven
C
Emerging
68/100
11 days ago

FlowMCP

An MCP server that exposes deterministic workflows as tools, allowing small models to reliably orchestrate APIs and other MCP servers with minimal parameters.

→ PeterGreenAppliedAI/FlowMCP· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

PeterGreenAppliedAI

Source: Glama

Is this your MCP?

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Glama

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// key findings
✅
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.
// 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.
configFLOWMCP_FLOWS_DIR
configGATEWAYauthor needs an OpenAI-compatible endpoint via --gateway or the env var —
configSANDBOX_DIR
configSEARXNG_URL
configVARIANT
// quality suggestions

All four hints declared on every tool

1/1 tools missing one or more hints — searxng_search (missing: destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool test coverage

Only 0/1 tools referenced in tests (0%)

Write tests that reference each tool by name so every tool has at least one test.

No eval / new Function

4 eval() or new Function() calls — dynamic code execution

Replace eval / Function with explicit parsing or safer alternatives.

Shell command execution

8 child_process/subprocess calls in production code — runs shell commands (bench/code-mode.ts:95, bench/code-mode.ts:109, src/author.ts:118)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Dependency freshness

1/3 production deps stale: json5@2023-03-04 (3.4y)

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 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/petergreenappliedai-flowmcp-jw9w1e)](https://m8ven.ai/mcp/petergreenappliedai-flowmcp-jw9w1e)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 96b41c57dfe4ba21230cb7c1a905b36a02fb0827
code hash: 089d3c3ead6148efe71b3c16294a125013862c20795d85f97c82d415171d760a
verified: 8/10/2026, 4:06:44 AM
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